15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II / Huang, De-Shuang ; Jo, Kang-Hyun ; Huang, Zhi-Kai  

Público ISBD Ningún comentario para este título. Título : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Jo, Kang-Hyun, ; Huang, Zhi-Kai, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXI, 790 p. 323 ilustraciones, 243 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26969-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Estructuras aritméticas y lógicas  Biología Computacional y de Sistemas  Teoría de la Computación  Inteligencia artificial  Visión por computador  Unidades aritméticas y lógicas informáticas.  Informática  Bioinformática Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 11643 y LNCS 11644 constituye, junto con el volumen LNAI 11645, las actas arbitradas de la 15.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2019, celebrada en Nanchang, China, en agosto de 2019. Los 217 artículos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 609 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artículos relacionados con este tema, incluidas teorías, metodologías y aplicaciones en ciencia y tecnología. Nota de contenido: Particle Swarm Optimization-based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying -- A Discrete Particle Swarm Optimization for PairwiseSequence Alignment -- A Diversity based Competitive Multi-Objective PSO for Feature Selection -- A Decomposition-based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization -- CBLNER: a multi-models biomedical named entity recognition system based on machine learning -- Dice Loss in Siamese Network for Visual Object Tracking -- Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid -- Precipitation Modeling and Prediction Based on Fuzzy-control Multi-cellular Gene Expression Programming and Wavelet Transform -- Integrative Enrichment Analysis of Intra- and Inter- Tissues' Differentially Expressed Genes Based on Perceptron -- Identifying differentially expressed genes based on differentially expressed edges -- Gene functional module discovery via integrating geneexpression and PPI network data -- A novel framework for improving the prediction of disease-associated microRNAs -- Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences -- Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions -- Simulation of Complex neural firing patterns based on improved deterministic Chay model -- Knowledge based helix angle and residue distance restraint free energy terms of GPCRs -- Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data -- A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis -- An effective approach of measuring disease similarities based on the DNN regression model -- Herb Pair Danggui-Baishao:Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach -- End-to-end learning based compound activity prediction using binding pocket information -- A novel approach for predicting lncRNA-disease associations by structural perturbation method -- Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations -- A link and Weight-Based Ensemble Clustering for Patient Stratification -- HGMDA:HyperGraph for Predicting MiRNA-disease Association -- Discovering Driver Mutation Profiles in Cancer with A Local Centrality Score -- LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction -- Distinguishing driver missense mutations from benign polymorphisms in breast cancer -- A novel method to predict protein regions driving cancer through integration of multi-omics data -- In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information -- Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest -- Prediction of human lncRNAs based on integrated information entropy features -- A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel -- A Novel Approach to predicting miRNA-disease associations -- Hierarchical Attention Network for Predicting DNA-Protein Binding Sites -- Motif discovery via convolutional networks with k-mer embedding -- Whole-Genome Shotgun Sequence of Natronobacterium Gregoryi SP2 -- The detection of gene modules with overlapping characteristic via integrating multi-omics data in six cancers -- Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations -- A prediction method of DNA-binding proteins based on evolutionary information -- Research on RNA Secondary Structure Prediction Based on Decision Tree -- Improving hot region prediction by combining gaussian naïve Bayes and DBSCAN -- An efficient LightGBM model to predict protein selfinteracting using Chebyshev moments and bi-gram -- Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-Interacting Proteins -- Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information -- Research on HP Model Optimization Method Based on Reinforcement Learning -- EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data -- Regulatory sequence architecture of stress responsive genes in (Oryza sativa) -- Identifying Cancer Biomarkers from High-throughput RNA sequencing Data by Machine Learning -- Identification of prognostic and heterogeneous breast cancer biomarkers based on fusion network and multiple scoring strategies -- A Novel Differential Essential Genes Prediction Method Based on Random Forests Model -- Identification of candidate biomarkers and pathways associated with liver cancer by bioinformatics analysis -- Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model -- CNN and Metadata for classification of benign and malignant melanomas -- An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data sets -- Fully Convolutional Neural Networks for 3D Vehicle Detection based on Point Clouds -- Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier -- Graph-SLAM Based Hardware-in-the-loop-simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 open source -- Evaluating CNNs for Military Target Recognition -- Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease -- Research of Formal Analysis Based on Extended Strand Space Theories -- The Application of Artificial Intelligence in Music Education -- Single-machine green scheduling problem of multi-speed machine -- Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan -- Water Wave Optimization for the Multidimensional Knapsack Problem -- A Complex-valued Firefly Algorithm -- Gene Expression Prediction Based on Hybrid Evolutionary Algorithm -- MPdeep: the medical procession with deep learning -- Predicting potential Drug-Target Interactions with Multi-label learning and ensemble learning -- Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors -- Electrocardiogram Diagnosis Based on SMOTE＋ENN and Random Forest -- Complex leaves classification with features extractor -- IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering. Tipo de medio : Computadora Summary : This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II [documento electrónico] / Huang, De-Shuang, ; Jo, Kang-Hyun, ; Huang, Zhi-Kai,  . -  1 ed.  . - [s.l.] : Springer, 2019 . - XXI, 790 p. 323 ilustraciones, 243 ilustraciones en color. ISBN : 978-3-030-26969-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Estructuras aritméticas y lógicas  Biología Computacional y de Sistemas  Teoría de la Computación  Inteligencia artificial  Visión por computador  Unidades aritméticas y lógicas informáticas.  Informática  Bioinformática Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 11643 y LNCS 11644 constituye, junto con el volumen LNAI 11645, las actas arbitradas de la 15.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2019, celebrada en Nanchang, China, en agosto de 2019. Los 217 artículos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 609 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artículos relacionados con este tema, incluidas teorías, metodologías y aplicaciones en ciencia y tecnología. Nota de contenido: Particle Swarm Optimization-based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying -- A Discrete Particle Swarm Optimization for PairwiseSequence Alignment -- A Diversity based Competitive Multi-Objective PSO for Feature Selection -- A Decomposition-based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization -- CBLNER: a multi-models biomedical named entity recognition system based on machine learning -- Dice Loss in Siamese Network for Visual Object Tracking -- Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid -- Precipitation Modeling and Prediction Based on Fuzzy-control Multi-cellular Gene Expression Programming and Wavelet Transform -- Integrative Enrichment Analysis of Intra- and Inter- Tissues' Differentially Expressed Genes Based on Perceptron -- Identifying differentially expressed genes based on differentially expressed edges -- Gene functional module discovery via integrating geneexpression and PPI network data -- A novel framework for improving the prediction of disease-associated microRNAs -- Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences -- Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions -- Simulation of Complex neural firing patterns based on improved deterministic Chay model -- Knowledge based helix angle and residue distance restraint free energy terms of GPCRs -- Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data -- A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis -- An effective approach of measuring disease similarities based on the DNN regression model -- Herb Pair Danggui-Baishao:Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach -- End-to-end learning based compound activity prediction using binding pocket information -- A novel approach for predicting lncRNA-disease associations by structural perturbation method -- Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations -- A link and Weight-Based Ensemble Clustering for Patient Stratification -- HGMDA:HyperGraph for Predicting MiRNA-disease Association -- Discovering Driver Mutation Profiles in Cancer with A Local Centrality Score -- LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction -- Distinguishing driver missense mutations from benign polymorphisms in breast cancer -- A novel method to predict protein regions driving cancer through integration of multi-omics data -- In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information -- Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest -- Prediction of human lncRNAs based on integrated information entropy features -- A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel -- A Novel Approach to predicting miRNA-disease associations -- Hierarchical Attention Network for Predicting DNA-Protein Binding Sites -- Motif discovery via convolutional networks with k-mer embedding -- Whole-Genome Shotgun Sequence of Natronobacterium Gregoryi SP2 -- The detection of gene modules with overlapping characteristic via integrating multi-omics data in six cancers -- Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations -- A prediction method of DNA-binding proteins based on evolutionary information -- Research on RNA Secondary Structure Prediction Based on Decision Tree -- Improving hot region prediction by combining gaussian naïve Bayes and DBSCAN -- An efficient LightGBM model to predict protein selfinteracting using Chebyshev moments and bi-gram -- Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-Interacting Proteins -- Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information -- Research on HP Model Optimization Method Based on Reinforcement Learning -- EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data -- Regulatory sequence architecture of stress responsive genes in (Oryza sativa) -- Identifying Cancer Biomarkers from High-throughput RNA sequencing Data by Machine Learning -- Identification of prognostic and heterogeneous breast cancer biomarkers based on fusion network and multiple scoring strategies -- A Novel Differential Essential Genes Prediction Method Based on Random Forests Model -- Identification of candidate biomarkers and pathways associated with liver cancer by bioinformatics analysis -- Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model -- CNN and Metadata for classification of benign and malignant melanomas -- An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data sets -- Fully Convolutional Neural Networks for 3D Vehicle Detection based on Point Clouds -- Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier -- Graph-SLAM Based Hardware-in-the-loop-simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 open source -- Evaluating CNNs for Military Target Recognition -- Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease -- Research of Formal Analysis Based on Extended Strand Space Theories -- The Application of Artificial Intelligence in Music Education -- Single-machine green scheduling problem of multi-speed machine -- Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan -- Water Wave Optimization for the Multidimensional Knapsack Problem -- A Complex-valued Firefly Algorithm -- Gene Expression Prediction Based on Hybrid Evolutionary Algorithm -- MPdeep: the medical procession with deep learning -- Predicting potential Drug-Target Interactions with Multi-label learning and ensemble learning -- Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors -- Electrocardiogram Diagnosis Based on SMOTE＋ENN and Random Forest -- Complex leaves classification with features extractor -- IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering. Tipo de medio : Computadora Summary : This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part II / Huang, De-Shuang ; Jo, Kang-Hyun  

Público ISBD Ningún comentario para este título. Título : 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part II Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Jo, Kang-Hyun, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXII, 638 p. 190 ilustraciones ISBN/ISSN/DL: 978-3-030-60802-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ingeniería Informática  Ingeniería Informática y Redes  Aprendizaje automático  Diseño y Análisis de Algoritmos  Entornos informáticos  Aplicación informática en ciencias sociales y del comportamiento.  Red informática  Algoritmo  Ordenador  Procesamiento de datos  Ciencias sociales  Visión por computador Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12463 y LNCS 12464 constituye, junto con el volumen LNAI 12465, las actas arbitradas de la 16.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2020, celebrada en Bari, Italia, en octubre de 2020. Los 162 artículos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 457 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artículos relacionados con este tema, que aborden teorías, metodologías y aplicaciones en ciencia y tecnología. Nota de contenido: Gene Expression Array Analysis -- Gene Regulation Modeling and Analysis -- Protein-Protein Interaction Prediction -- Biomarker Discovery and Detection -- Systems Biology -- Modeling, Simulation, and Optimization of Biological Systems -- Intelligent Computing in Computational Biology -- Intelligent Computing in Drug Design -- Computational Genomics -- Artificial Intelligence in Biological and Medical Information Procession -- Recent Advances in Swarm Intelligence: computing and applications -- Machine Learning Techniques in Bioinformatics -- High-performance Modelling Methods on High-throughput Biomedical Data -- Intelligent Computing and Swarm Optimization -- Construction of Large-Scale Heterogeneous Molecular Association Network and its Application in Molecular Link Prediction. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part II [documento electrónico] / Huang, De-Shuang, ; Jo, Kang-Hyun,  . -  1 ed.  . - [s.l.] : Springer, 2020 . - XXII, 638 p. 190 ilustraciones. ISBN : 978-3-030-60802-6 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ingeniería Informática  Ingeniería Informática y Redes  Aprendizaje automático  Diseño y Análisis de Algoritmos  Entornos informáticos  Aplicación informática en ciencias sociales y del comportamiento.  Red informática  Algoritmo  Ordenador  Procesamiento de datos  Ciencias sociales  Visión por computador Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12463 y LNCS 12464 constituye, junto con el volumen LNAI 12465, las actas arbitradas de la 16.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2020, celebrada en Bari, Italia, en octubre de 2020. Los 162 artículos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 457 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artículos relacionados con este tema, que aborden teorías, metodologías y aplicaciones en ciencia y tecnología. Nota de contenido: Gene Expression Array Analysis -- Gene Regulation Modeling and Analysis -- Protein-Protein Interaction Prediction -- Biomarker Discovery and Detection -- Systems Biology -- Modeling, Simulation, and Optimization of Biological Systems -- Intelligent Computing in Computational Biology -- Intelligent Computing in Drug Design -- Computational Genomics -- Artificial Intelligence in Biological and Medical Information Procession -- Recent Advances in Swarm Intelligence: computing and applications -- Machine Learning Techniques in Bioinformatics -- High-performance Modelling Methods on High-throughput Biomedical Data -- Intelligent Computing and Swarm Optimization -- Construction of Large-Scale Heterogeneous Molecular Association Network and its Application in Molecular Link Prediction. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part I / Huang, De-Shuang ; Jo, Kang-Hyun ; Li, Jianqiang ; Gribova, Valeriya ; Bevilacqua, Vitoantonio  

Público ISBD Ningún comentario para este título. Título : 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Bevilacqua, Vitoantonio, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXXVI, 889 p. 462 ilustraciones, 337 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-84522-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos  Aplicación informática en ciencias sociales y del comportamiento.  Aprendizaje automático  Redes de comunicación informática  Visión por computador  Red informática  Ingeniería Informática  Ciencias sociales  Ingeniería Informática y Redes Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 artículos completos de Los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 458 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Los artículos están organizados en las siguientes subsecciones: Computación y aprendizaje evolutivos, procesamiento de imágenes y señales, seguridad de la información, redes neuronales, optimización e inteligencia de enjambre de reconocimiento de patrones, y realidad virtual e interacción persona-computadora. Nota de contenido: Evolutionary Computation and Learning -- Multi-Objective Optimization-Based Task Offloading and Power Control for Mobile Edge Computing -- An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction -- An Improved Genetic Algorithm for Distributed Job Shop Scheduling Problem -- An improved teaching-learning-based optimization for multitask optimization problems -- Emotion Recognition from Facial Expressions Using a Genetic Algorithm to Feature Extraction -- An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems -- KGT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Genetic Algorithm for WK-recursive NoC Architecture -- Evolutionary Algorithms for Applications of Biological Networks: A Review -- Computational prediction of protein-protein interactions in plants using only sequence information -- Image and signal Processing -- A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism -- A Comparable Study on Dimensionality Reduction Methods for Endmember Extraction -- Hyperspectral image classification with locally linear embedding, 2D spatial filtering and SVM -- A Hierarchical Retrieval Method Based on Hash Table for Audio Fingerprinting -- Automatic extraction of document information based on OCR and image registration technology -- Using Simplified Slime Mould Algorithm for Wireless Sensor Network Coverage Problem -- Super-large medical image storage and display technology based on concentrated points of interest -- Person Re-Identification Based on Hash -- A robust and automatic recognition method of pointer instruments in power system -- Partial Distillation of Deep Feature for Unsupervised Image Anomaly Detection and Segmentation -- Speech Recognition Method For Home Service Robots Based On CLSTM-HMM Hybrid Acoustic Model -- Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification -- A Novel Decision Mechanism for Image Edge Detection -- Rapid Earthquake Assessment from Satellite Imagery using RPN and Yolo v3 -- Attention-based Deep Multi-Scale Network for Plant Leaf Recognition -- Information Security -- Short Video Users' Personal Privacy Leakage and Protection Measures -- An Efficient Video Steganography Method Based on HEVC 326 -- Analysis on the Application of Blockchain Technology in Ideological and Political Education in Universities -- Parallel Security Video Streaming in Cloud Server Environment -- An Efficient Video Steganography Scheme for Data Protection in H.265/HEVC -- A Robust Lossless Steganography Method Based on H.264/AVC -- Research on Application of Blockchain Technology in Higher Education in China -- Neural Networks -- Multi-Class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization -- Fault Diagnosis Based on Unsupervised Neural Network in Tennessee Eastman process -- Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry -- Alcoholism detection via 5-layer customized convolution neural network -- A heterogeneous 1D convolutional architecture for urban photovoltaic estimation -- Adversarial attacks and defenses in deep learning: A survey -- Pattern Recognition -- Fine-Grained Recognition of Crop Pests Based on Capsule Network with Attention Mechanism -- Small Object recognition based on the Generative Adversarial Network and Multi-Instance Learning -- Deep Learning Based Semantic Page Segmentation of Document Images in Chinese and English -- Non-central Student-t Mixture of Student-t Processes for Robust Regression and Prediction -- Multi-Class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features -- Plant Leaf Recognition Network Based on Fine-grained visual classification -- Anomaly Detection based on Video Prediction and Latent Space constraints -- A Robust Distance Regularized Potential Function for Level Set Image Segmentation -- Label Similarity Based Graph Network for Badminton Activity Recognition -- MITT: Musical Instrument Timbre Transfer based on the Multichannel Attention-Guided Mechanism -- Classification of benign-malignant pulmonary nodules based on multi-view improved dense network -- Deep Convolution Neural Network Based Research on Recognition of Mine Vehicle Head and Tail -- Compact Finite-State Super Transducers for Grapheme-to-Phoneme Conversion in Highly Inflected Languages -- Swarm Intelligence and Optimization -- An improved SMA algorithm for solving global optimization problems -- An Improved Chicken Swarm Optimization Algorithm with Fireworks Factor -- An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics -- Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates -- Hybrid whale optimization algorithm for solving green open vehicle routingproblem with time windows -- Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows -- Spatial prediction of stock opening price based on improved whale optimized twin support vector regression -- Channel Assignment Algorithm Based on Discrete BFO for Wireless Monitoring Networks -- A multi-objective particle swarm optimization algorithm embedded with maximum fitness function for dual-resources constrained flexible job shop scheduling -- An Improved Firefly Algorithm for Generalized Traveling Salesman Problem -- Virtual Reality and Human-Computer Interaction -- User study on an online-training system of activity in daily life for the visually impaired -- Person Property Estimation based on 2D LiDAR Data using Deep Neural Network -- Detection of Pointing Position by Omnidirectional Camera -- Optimization of Low-speed Dual Rotor Axial Flux Generator Design through Electromagnetic Modelling and Simulation -- A Lightweight Attention Fusion Module for Multi-Sensor 3-D Object Detection -- Regression-Aware Classification Feature for Pedestrian Detection and Tracking in Video Surveillance Systems -- Efficient Face Detector Using Spatial Attention Module in Real-time Application on an Edge Device -- Non-tactile Thumb Tip Measurement System for Encouraging Rehabilitation After Surgery -- Real-time Prediction of Future 3D Pose of Person using RGB-D camera for Personalized Services -- ROS2-based Distributed System Implementation for Logging Indoor Human Activities -- The Virtual Camera Path in 3D Animation. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Evolutionary Computation and Learning, Image and signal Processing, Information Security, Neural Networks, Pattern Recognition Swarm Intelligence and Optimization, and Virtual Reality and Human-Computer Interaction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part I [documento electrónico] / Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Bevilacqua, Vitoantonio,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXXVI, 889 p. 462 ilustraciones, 337 ilustraciones en color. ISBN : 978-3-030-84522-3 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos  Aplicación informática en ciencias sociales y del comportamiento.  Aprendizaje automático  Redes de comunicación informática  Visión por computador  Red informática  Ingeniería Informática  Ciencias sociales  Ingeniería Informática y Redes Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 artículos completos de Los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 458 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Los artículos están organizados en las siguientes subsecciones: Computación y aprendizaje evolutivos, procesamiento de imágenes y señales, seguridad de la información, redes neuronales, optimización e inteligencia de enjambre de reconocimiento de patrones, y realidad virtual e interacción persona-computadora. Nota de contenido: Evolutionary Computation and Learning -- Multi-Objective Optimization-Based Task Offloading and Power Control for Mobile Edge Computing -- An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction -- An Improved Genetic Algorithm for Distributed Job Shop Scheduling Problem -- An improved teaching-learning-based optimization for multitask optimization problems -- Emotion Recognition from Facial Expressions Using a Genetic Algorithm to Feature Extraction -- An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems -- KGT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Genetic Algorithm for WK-recursive NoC Architecture -- Evolutionary Algorithms for Applications of Biological Networks: A Review -- Computational prediction of protein-protein interactions in plants using only sequence information -- Image and signal Processing -- A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism -- A Comparable Study on Dimensionality Reduction Methods for Endmember Extraction -- Hyperspectral image classification with locally linear embedding, 2D spatial filtering and SVM -- A Hierarchical Retrieval Method Based on Hash Table for Audio Fingerprinting -- Automatic extraction of document information based on OCR and image registration technology -- Using Simplified Slime Mould Algorithm for Wireless Sensor Network Coverage Problem -- Super-large medical image storage and display technology based on concentrated points of interest -- Person Re-Identification Based on Hash -- A robust and automatic recognition method of pointer instruments in power system -- Partial Distillation of Deep Feature for Unsupervised Image Anomaly Detection and Segmentation -- Speech Recognition Method For Home Service Robots Based On CLSTM-HMM Hybrid Acoustic Model -- Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification -- A Novel Decision Mechanism for Image Edge Detection -- Rapid Earthquake Assessment from Satellite Imagery using RPN and Yolo v3 -- Attention-based Deep Multi-Scale Network for Plant Leaf Recognition -- Information Security -- Short Video Users' Personal Privacy Leakage and Protection Measures -- An Efficient Video Steganography Method Based on HEVC 326 -- Analysis on the Application of Blockchain Technology in Ideological and Political Education in Universities -- Parallel Security Video Streaming in Cloud Server Environment -- An Efficient Video Steganography Scheme for Data Protection in H.265/HEVC -- A Robust Lossless Steganography Method Based on H.264/AVC -- Research on Application of Blockchain Technology in Higher Education in China -- Neural Networks -- Multi-Class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization -- Fault Diagnosis Based on Unsupervised Neural Network in Tennessee Eastman process -- Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry -- Alcoholism detection via 5-layer customized convolution neural network -- A heterogeneous 1D convolutional architecture for urban photovoltaic estimation -- Adversarial attacks and defenses in deep learning: A survey -- Pattern Recognition -- Fine-Grained Recognition of Crop Pests Based on Capsule Network with Attention Mechanism -- Small Object recognition based on the Generative Adversarial Network and Multi-Instance Learning -- Deep Learning Based Semantic Page Segmentation of Document Images in Chinese and English -- Non-central Student-t Mixture of Student-t Processes for Robust Regression and Prediction -- Multi-Class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features -- Plant Leaf Recognition Network Based on Fine-grained visual classification -- Anomaly Detection based on Video Prediction and Latent Space constraints -- A Robust Distance Regularized Potential Function for Level Set Image Segmentation -- Label Similarity Based Graph Network for Badminton Activity Recognition -- MITT: Musical Instrument Timbre Transfer based on the Multichannel Attention-Guided Mechanism -- Classification of benign-malignant pulmonary nodules based on multi-view improved dense network -- Deep Convolution Neural Network Based Research on Recognition of Mine Vehicle Head and Tail -- Compact Finite-State Super Transducers for Grapheme-to-Phoneme Conversion in Highly Inflected Languages -- Swarm Intelligence and Optimization -- An improved SMA algorithm for solving global optimization problems -- An Improved Chicken Swarm Optimization Algorithm with Fireworks Factor -- An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics -- Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates -- Hybrid whale optimization algorithm for solving green open vehicle routingproblem with time windows -- Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows -- Spatial prediction of stock opening price based on improved whale optimized twin support vector regression -- Channel Assignment Algorithm Based on Discrete BFO for Wireless Monitoring Networks -- A multi-objective particle swarm optimization algorithm embedded with maximum fitness function for dual-resources constrained flexible job shop scheduling -- An Improved Firefly Algorithm for Generalized Traveling Salesman Problem -- Virtual Reality and Human-Computer Interaction -- User study on an online-training system of activity in daily life for the visually impaired -- Person Property Estimation based on 2D LiDAR Data using Deep Neural Network -- Detection of Pointing Position by Omnidirectional Camera -- Optimization of Low-speed Dual Rotor Axial Flux Generator Design through Electromagnetic Modelling and Simulation -- A Lightweight Attention Fusion Module for Multi-Sensor 3-D Object Detection -- Regression-Aware Classification Feature for Pedestrian Detection and Tracking in Video Surveillance Systems -- Efficient Face Detector Using Spatial Attention Module in Real-time Application on an Edge Device -- Non-tactile Thumb Tip Measurement System for Encouraging Rehabilitation After Surgery -- Real-time Prediction of Future 3D Pose of Person using RGB-D camera for Personalized Services -- ROS2-based Distributed System Implementation for Logging Indoor Human Activities -- The Virtual Camera Path in 3D Animation. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Evolutionary Computation and Learning, Image and signal Processing, Information Security, Neural Networks, Pattern Recognition Swarm Intelligence and Optimization, and Virtual Reality and Human-Computer Interaction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part II / Huang, De-Shuang ; Jo, Kang-Hyun ; Li, Jianqiang ; Gribova, Valeriya ; Hussain, Abir  

Público ISBD Ningún comentario para este título. Título : 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part II Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Hussain, Abir, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXII, 763 p. 372 ilustraciones, 269 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-84529-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Visión por computador  Aprendizaje automático  Application software  Inteligencia artificial  Aplicaciones informáticas y de sistemas de información Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 artículos completos de Los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 458 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Los artículos están organizados en las siguientes subsecciones: Computación inteligente en visión por computadora, control y automatización inteligentes, tecnologías de modelado inteligente para ciudades inteligentes, aprendizaje automático e inteligencia y aplicaciones computacionales teóricas. Nota de contenido: Intelligent Computing in Computer Vision -- BIDGAN: Blind Image Deblurring with Improved CycleGAN and Frequency Filtering -- Emotional interaction computing of actors in the mass incidents -- Multi Spatial Convolution Block for Lane Lines Semantic Segmentation -- VISFF: An Approach for Video Summarization Based on Feature Fusion -- Understanding Safety Based on Urban Perception -- Recognition of Multiple Panamanian Watermelon Varieties Based on Feature Extraction Analysis -- Javier E. Sánchez-Galán, Anel Henry, Fatima Rangel, Emmy Sáez, Kang-Hyun Jo and Danilo Cáceres-Hernández -- STDA-inf: Style Transfer for Data Augmentation Through In-data Training and Fusion Inference -- Abnormal Driving Detection Based on Human Pose Estimation and Facial Key Points Detection -- Uncertainty-guided pixel-level contrastive learning for biomarker segmentation in OCT images -- Wall-following Navigation for Mobile Robot Based on Random Forest and Genetic Algorithm -- A study of algorithms for controllingthe precision of bandwidth in EMI pre-testing -- Intelligent Control and Automation -- Flight Control for 6-DOF Quadrotor via Sliding Mode Integral Filter -- An Enhanced Finite-Control-Set Model Predictive Control Strategy for PWM Rectifiers with Filter Inductance Mismatch -- Deep Integration Navigation Technique Based on Strong Tracking UKF Algorithm -- The Application of Theoretical Variance#1 Method and Lifting Wavelet for Optic Gyroscopes -- Proposing a Novel Fixed-Time Non-Singular Terminal Sliding Mode Surface for Motion Tracking Control of Robot Manipulators -- A Neural Terminal Sliding Mode Control for tracking control of robotic manipulators in uncertain dynamical environments -- Fuzzy PID Controller for Accurate Power Sharing and Voltage Restoration in DC Microgrids -- Sensor-less Contact Force Estimation in Physical Human-Robot Interaction -- Model-Free Continuous Fuzzy Terminal Sliding Mode Control for Second-Order Nonlinear Systems -- Deep Q-learning with Explainable and Transferable Domain Rules -- Influence of interference and noise on indoor localization systems -- Exploration of Smart Medical Technology based on Intelligent Computing Methods -- Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things -- Intelligent Modeling Technologies for Smart Cities -- A YOLOv3-based Learning Strategy for Vehicle-Thrown-Waste Identification -- Research on Chinese Word Segmentation Based on Conditional Random Fields -- Knowledge Discovery and Data Mining -- Financial Distress Detection and Interpretation with Semi-supervised System -- Solving online food delivery problem via an effective hybrid algorithm with intelligent batching strategy -- Graph Semantics Based Neighboring Attentional Entity Alignment for Knowledge Graphs -- An Improved CF tree Clustering Based on Tissue-Like P System -- Classification method of power consumption periods based on typical daily load curve -- A data processing method for load data of electric boiler with heat reservoir -- Aggregate model for power load forecasting based on conditional autoencoder -- Geographical Entity Community Discovery Based on Semantic Similarity -- Many-to-many Chinese ICD-9 Terminology Standardization based on Neural Networks -- Chinese Word Sense Disambiguation Based on Classification -- Research on the Authorship of Dream of the Red Chamber Based on Link Prediction -- Span Representation Generation Method in Entity-Relation Joint Extraction -- Machine Learning -- Prediction of Railway Freight Customer Churn Based on Deep Forest -- Multi-View of Data for Auto Judge Model in Online Dispute Resolution -- Multi-Task Learning with Riemannian Optimization -- Audio-Visual Salient Object Detection -- Research on Deep Neural Network Model Compression Based on Quantification Pruning and Huffmann Encoding -- Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification -- Delay to Group in Food Delivery System: A Prediction Approach -- Variational EM Algorithm for Student-Mixtures of Gaussian Processes -- Ensemble learning with resampling for imbalanced data -- Dual-channel recalibration and feature fusion method for liver image classification -- Research on Path Planning Algorithm for Mobile Robot Based on Improved Reinforcement Learning -- OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM -- Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods -- An Inverse QSAR Method Based on Decision Tree and Integer Programming -- A Link-Based Ensemble Cluster Approach for Identifica-tion of cell types -- A defect detection method for diverse texture fabric based on CenterNet -- Accelerating Deep Reinforcement Learning via Hierarchical State Encoding with ELMs -- Mal PCASVM: Malonylation Residues Classification with principal component analysis Support Vector Machine -- Theoretical Computational Intelligence and Applications -- The influence of sliding windows basedon MM-6mAPred to identify DNA N6-methyladenine -- RF Bert: A classification model of Golgi apparatus based on TAPE_BERT extraction features -- PointPAVGG: An incremental algorithm for Extraction of Points' Positional feature using VGG on Point Clouds -- Predicting Course Score for Undergrade Students using Neural Networks -- Classification of heart sounds using MFCC and CNN. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Intelligent Computing in Computer Vision, Intelligent Control and Automation, Intelligent Modeling Technologies for Smart Cities, Machine Learning, and Theoretical Computational Intelligence and Applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part II [documento electrónico] / Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Hussain, Abir,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXII, 763 p. 372 ilustraciones, 269 ilustraciones en color. ISBN : 978-3-030-84529-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Visión por computador  Aprendizaje automático  Application software  Inteligencia artificial  Aplicaciones informáticas y de sistemas de información Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 artículos completos de Los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 458 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Los artículos están organizados en las siguientes subsecciones: Computación inteligente en visión por computadora, control y automatización inteligentes, tecnologías de modelado inteligente para ciudades inteligentes, aprendizaje automático e inteligencia y aplicaciones computacionales teóricas. Nota de contenido: Intelligent Computing in Computer Vision -- BIDGAN: Blind Image Deblurring with Improved CycleGAN and Frequency Filtering -- Emotional interaction computing of actors in the mass incidents -- Multi Spatial Convolution Block for Lane Lines Semantic Segmentation -- VISFF: An Approach for Video Summarization Based on Feature Fusion -- Understanding Safety Based on Urban Perception -- Recognition of Multiple Panamanian Watermelon Varieties Based on Feature Extraction Analysis -- Javier E. Sánchez-Galán, Anel Henry, Fatima Rangel, Emmy Sáez, Kang-Hyun Jo and Danilo Cáceres-Hernández -- STDA-inf: Style Transfer for Data Augmentation Through In-data Training and Fusion Inference -- Abnormal Driving Detection Based on Human Pose Estimation and Facial Key Points Detection -- Uncertainty-guided pixel-level contrastive learning for biomarker segmentation in OCT images -- Wall-following Navigation for Mobile Robot Based on Random Forest and Genetic Algorithm -- A study of algorithms for controllingthe precision of bandwidth in EMI pre-testing -- Intelligent Control and Automation -- Flight Control for 6-DOF Quadrotor via Sliding Mode Integral Filter -- An Enhanced Finite-Control-Set Model Predictive Control Strategy for PWM Rectifiers with Filter Inductance Mismatch -- Deep Integration Navigation Technique Based on Strong Tracking UKF Algorithm -- The Application of Theoretical Variance#1 Method and Lifting Wavelet for Optic Gyroscopes -- Proposing a Novel Fixed-Time Non-Singular Terminal Sliding Mode Surface for Motion Tracking Control of Robot Manipulators -- A Neural Terminal Sliding Mode Control for tracking control of robotic manipulators in uncertain dynamical environments -- Fuzzy PID Controller for Accurate Power Sharing and Voltage Restoration in DC Microgrids -- Sensor-less Contact Force Estimation in Physical Human-Robot Interaction -- Model-Free Continuous Fuzzy Terminal Sliding Mode Control for Second-Order Nonlinear Systems -- Deep Q-learning with Explainable and Transferable Domain Rules -- Influence of interference and noise on indoor localization systems -- Exploration of Smart Medical Technology based on Intelligent Computing Methods -- Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things -- Intelligent Modeling Technologies for Smart Cities -- A YOLOv3-based Learning Strategy for Vehicle-Thrown-Waste Identification -- Research on Chinese Word Segmentation Based on Conditional Random Fields -- Knowledge Discovery and Data Mining -- Financial Distress Detection and Interpretation with Semi-supervised System -- Solving online food delivery problem via an effective hybrid algorithm with intelligent batching strategy -- Graph Semantics Based Neighboring Attentional Entity Alignment for Knowledge Graphs -- An Improved CF tree Clustering Based on Tissue-Like P System -- Classification method of power consumption periods based on typical daily load curve -- A data processing method for load data of electric boiler with heat reservoir -- Aggregate model for power load forecasting based on conditional autoencoder -- Geographical Entity Community Discovery Based on Semantic Similarity -- Many-to-many Chinese ICD-9 Terminology Standardization based on Neural Networks -- Chinese Word Sense Disambiguation Based on Classification -- Research on the Authorship of Dream of the Red Chamber Based on Link Prediction -- Span Representation Generation Method in Entity-Relation Joint Extraction -- Machine Learning -- Prediction of Railway Freight Customer Churn Based on Deep Forest -- Multi-View of Data for Auto Judge Model in Online Dispute Resolution -- Multi-Task Learning with Riemannian Optimization -- Audio-Visual Salient Object Detection -- Research on Deep Neural Network Model Compression Based on Quantification Pruning and Huffmann Encoding -- Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification -- Delay to Group in Food Delivery System: A Prediction Approach -- Variational EM Algorithm for Student-Mixtures of Gaussian Processes -- Ensemble learning with resampling for imbalanced data -- Dual-channel recalibration and feature fusion method for liver image classification -- Research on Path Planning Algorithm for Mobile Robot Based on Improved Reinforcement Learning -- OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM -- Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods -- An Inverse QSAR Method Based on Decision Tree and Integer Programming -- A Link-Based Ensemble Cluster Approach for Identifica-tion of cell types -- A defect detection method for diverse texture fabric based on CenterNet -- Accelerating Deep Reinforcement Learning via Hierarchical State Encoding with ELMs -- Mal PCASVM: Malonylation Residues Classification with principal component analysis Support Vector Machine -- Theoretical Computational Intelligence and Applications -- The influence of sliding windows basedon MM-6mAPred to identify DNA N6-methyladenine -- RF Bert: A classification model of Golgi apparatus based on TAPE_BERT extraction features -- PointPAVGG: An incremental algorithm for Extraction of Points' Positional feature using VGG on Point Clouds -- Predicting Course Score for Undergrade Students using Neural Networks -- Classification of heart sounds using MFCC and CNN. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Intelligent Computing in Computer Vision, Intelligent Control and Automation, Intelligent Modeling Technologies for Smart Cities, Machine Learning, and Theoretical Computational Intelligence and Applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part III / Huang, De-Shuang ; Jo, Kang-Hyun ; Li, Jianqiang ; Gribova, Valeriya ; Premaratne, Prashan  

Público ISBD Ningún comentario para este título. Título : 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part III Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Premaratne, Prashan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXII, 669 p. 274 ilustraciones, 186 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-84532-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de imágenes  Aplicaciones informáticas y de sistemas de información  Visión  Inteligencia artificial  Procesamiento de datos  Ciencias sociales  Visión por computador  Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 artículos completos de Los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 458 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Los artículos están organizados en las siguientes subsecciones: Inteligencia artificial en aplicaciones del mundo real, Teoría y métodos de la informática biomédica, Informática de enfermedades complejas, Modelado y análisis de la regulación genética, Computación inteligente en biología computacional y Predicción de la estructura y función de las proteínas. Nota de contenido: Artificial Intelligence in Real World Applications -- Task-oriented Snapshot Network Construction of Stock Market -- Analysis of elimination algorithm based on curve self-intersection -- Towards AI-based Reaction and Mitigation for e-commerce - the ENSURESEC Engine -- Arabic Light Stemmer Based on ISRI Stemmer -- Biomedical Informatics Theory and Methods -- Predicting miRNA-disease associations via a new MeSH headings representation of diseases and eXtreme Gradient Boosting -- Social Media Adverse Drug Reaction Detection based on Bi-LSTM with Multi-head Attention Mechanism -- HOMC: a hierarchical clustering algorithm based on optimal low rank matrix completion for single cell analysis -- mzMD: A new storage and retrieval system for mass spectrometry data -- Drug-target Interaction Prediction via Multiple Output Graph Convolutional Networks -- Inversion of k-nearest neighbours algorithm for extracting SNPs discriminating human populations -- ComPAT: a comprehensive pathway analysistools -- Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate -- Review of methods for data collection experiments with people with dementia and the impact of COVID-19 -- KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions -- Challenges in data capturing and collection for physiological detection of dementia-related difficulties and proposed solutions -- Exploring multi-scale temporal and spectral CSP feature for multi-class motion imagination task classification -- Gingivitis detection by Wavelet Energy Entropy and Linear Regression Classifier -- Decomposition-and-Fusion Network for HE-stained Pathological Image Classification -- Complex Diseases Informatics -- A novel approach for predicting microbe-disease associations by structural perturbation method -- A reinforcement learning-Based model for Human microRNA-disease association prediction -- Delineating QSAR descriptors to explore the inherent properties of naturally occurringpolyphenols, responsible for alpha-synuclein amyloid disaggregation scheming towards effective therapeutics against Parkinson's disorder -- Study on the mechanism of Cistanche in the treatment of colorectal cancer based on network pharmacology -- A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data -- Prediction of Heart Disease Probability Based on Various Body Function -- Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network -- Predicting lncRNA-disease associations based on tensor decomposition method -- AI in Skin Cancer Detection -- MiRNA-Disease Associations Prediction based on Neural Tensor Decomposition -- Gene Regulation Modeling and Analysis -- SHDC: A Method of Similarity Measurement Using Heat Kernel based on Denoising for Clustering scRNA-seq Data -- Research on RNA Secondary Structure Prediction Based on MLP -- Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression -- Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR region -- Joint Association Analysis Method to Predict Genes Related to Liver Cancer -- A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding by combining multiple-instance learning -- Using deep learning to predict transcription factor binding sites combining raw DNA sequence, evolutionary information and epigenomic data -- An abnormal gene detection method based on Selene -- A method for constructing an integrative network of competing endogenous RNAs -- Intelligent Computing in Computational Biology -- Detection of Drug-drug Interactions through Knowledge Graph Integrating Multi-attention with Capsule Network -- SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning -- ICNNMDA: An Improved Convolutional Neural Network for Predicting miRNA-disease Associations -- DNA-GCN: Graph convolutional networks for predicting DNA-protein binding -- Weighted Nonnegative Matrix Factorization based on Multi-Source Fusion Information for Predicting CircRNA-Disease Associations -- ScSSC: semi-supervised single cell clustering based on 2D embedding -- SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data -- Covid-19 detection by Wavelet Entropy and Jaya -- An ensemble learning algorithm for predicting HIV-1 protease cleavage sites -- RWRNCP: Random Walking with Restart based Network Consistency Projection for Predicting miRNA-disease Association -- MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-disease Association -- Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data -- Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network -- CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information -- A multi-graph deep learning model for predicting drug-disease associations -- Predicting Drug-disease Associations Based on Network Consistency Projection -- An efficient computational method to predict drug-target interactions utilizing matrix completion and linear optimization method -- Protein Structure and Function Prediction -- Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation -- DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion -- Membrane Protein identification via multiple kernel fuzzy SVM -- Golgi Protein Prediction with Deep Forest -- Prediction of protein-protein interaction based on deep learning feature representation and random forest.-. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Artificial Intelligence in Real World Applications, Biomedical Informatics Theory and Methods, Complex Diseases Informatics, Gene Regulation Modeling and Analysis, Intelligent Computing in Computational Biology, and Protein Structure and Function Prediction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part III [documento electrónico] / Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Premaratne, Prashan,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXII, 669 p. 274 ilustraciones, 186 ilustraciones en color. ISBN : 978-3-030-84532-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de imágenes  Aplicaciones informáticas y de sistemas de información  Visión  Inteligencia artificial  Procesamiento de datos  Ciencias sociales  Visión por computador  Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 artículos completos de Los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 458 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "Metodologías y aplicaciones de computación inteligente avanzada". Los artículos están organizados en las siguientes subsecciones: Inteligencia artificial en aplicaciones del mundo real, Teoría y métodos de la informática biomédica, Informática de enfermedades complejas, Modelado y análisis de la regulación genética, Computación inteligente en biología computacional y Predicción de la estructura y función de las proteínas. Nota de contenido: Artificial Intelligence in Real World Applications -- Task-oriented Snapshot Network Construction of Stock Market -- Analysis of elimination algorithm based on curve self-intersection -- Towards AI-based Reaction and Mitigation for e-commerce - the ENSURESEC Engine -- Arabic Light Stemmer Based on ISRI Stemmer -- Biomedical Informatics Theory and Methods -- Predicting miRNA-disease associations via a new MeSH headings representation of diseases and eXtreme Gradient Boosting -- Social Media Adverse Drug Reaction Detection based on Bi-LSTM with Multi-head Attention Mechanism -- HOMC: a hierarchical clustering algorithm based on optimal low rank matrix completion for single cell analysis -- mzMD: A new storage and retrieval system for mass spectrometry data -- Drug-target Interaction Prediction via Multiple Output Graph Convolutional Networks -- Inversion of k-nearest neighbours algorithm for extracting SNPs discriminating human populations -- ComPAT: a comprehensive pathway analysistools -- Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate -- Review of methods for data collection experiments with people with dementia and the impact of COVID-19 -- KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions -- Challenges in data capturing and collection for physiological detection of dementia-related difficulties and proposed solutions -- Exploring multi-scale temporal and spectral CSP feature for multi-class motion imagination task classification -- Gingivitis detection by Wavelet Energy Entropy and Linear Regression Classifier -- Decomposition-and-Fusion Network for HE-stained Pathological Image Classification -- Complex Diseases Informatics -- A novel approach for predicting microbe-disease associations by structural perturbation method -- A reinforcement learning-Based model for Human microRNA-disease association prediction -- Delineating QSAR descriptors to explore the inherent properties of naturally occurringpolyphenols, responsible for alpha-synuclein amyloid disaggregation scheming towards effective therapeutics against Parkinson's disorder -- Study on the mechanism of Cistanche in the treatment of colorectal cancer based on network pharmacology -- A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data -- Prediction of Heart Disease Probability Based on Various Body Function -- Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network -- Predicting lncRNA-disease associations based on tensor decomposition method -- AI in Skin Cancer Detection -- MiRNA-Disease Associations Prediction based on Neural Tensor Decomposition -- Gene Regulation Modeling and Analysis -- SHDC: A Method of Similarity Measurement Using Heat Kernel based on Denoising for Clustering scRNA-seq Data -- Research on RNA Secondary Structure Prediction Based on MLP -- Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression -- Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR region -- Joint Association Analysis Method to Predict Genes Related to Liver Cancer -- A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding by combining multiple-instance learning -- Using deep learning to predict transcription factor binding sites combining raw DNA sequence, evolutionary information and epigenomic data -- An abnormal gene detection method based on Selene -- A method for constructing an integrative network of competing endogenous RNAs -- Intelligent Computing in Computational Biology -- Detection of Drug-drug Interactions through Knowledge Graph Integrating Multi-attention with Capsule Network -- SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning -- ICNNMDA: An Improved Convolutional Neural Network for Predicting miRNA-disease Associations -- DNA-GCN: Graph convolutional networks for predicting DNA-protein binding -- Weighted Nonnegative Matrix Factorization based on Multi-Source Fusion Information for Predicting CircRNA-Disease Associations -- ScSSC: semi-supervised single cell clustering based on 2D embedding -- SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data -- Covid-19 detection by Wavelet Entropy and Jaya -- An ensemble learning algorithm for predicting HIV-1 protease cleavage sites -- RWRNCP: Random Walking with Restart based Network Consistency Projection for Predicting miRNA-disease Association -- MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-disease Association -- Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data -- Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network -- CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information -- A multi-graph deep learning model for predicting drug-disease associations -- Predicting Drug-disease Associations Based on Network Consistency Projection -- An efficient computational method to predict drug-target interactions utilizing matrix completion and linear optimization method -- Protein Structure and Function Prediction -- Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation -- DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion -- Membrane Protein identification via multiple kernel fuzzy SVM -- Golgi Protein Prediction with Deep Forest -- Prediction of protein-protein interaction based on deep learning feature representation and random forest.-. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Artificial Intelligence in Real World Applications, Biomedical Informatics Theory and Methods, Complex Diseases Informatics, Gene Regulation Modeling and Analysis, Intelligent Computing in Computational Biology, and Protein Structure and Function Prediction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Intelligent Computing Theories and Application / Huang, De-Shuang ; Jo, Kang-Hyun ; Figueroa-García, Juan Carlos  

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Intelligent Computing Theories and Application / Huang, De-Shuang ; Jo, Kang-Hyun ; Zhang, Xiao-Long  

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