Autor Huang, De-Shuang
|
|
Documentos disponibles escritos por este autor (15)
Hacer una sugerencia Refinar búsqueda15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I / Huang, De-Shuang ; Bevilacqua, Vitoantonio ; Premaratne, Prashan
TÃtulo : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Premaratne, Prashan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXXV, 768 p. 373 ilustraciones, 270 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26763-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Algoritmo Redes de comunicación informática Visión por computador Red informática Inteligencia artificial Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Solving Symmetric and Asymmetric Traveling Salesman Problems Through Probe Machine with Local Search -- An Evolutionary Algorithm based on Multi-operator Ensemble for Multi-objective Optimization -- Water Evaporation Optimization Algorithm based on Classification and Unbiased Search -- A discrete sine cosine algorithm for community detection -- Automatical Pulmonary Nodule Detection by Feature Contrast Learning -- Unsupervised Cross-Domain Person Re-Identification Based on Style Transfer -- Improving Object Detection by Deep Networks with Class-related Features -- Dynamic Neural Network for Business and Market Analysis -- ψ-type synchronization of memristor-based competitive neural networks with time-varying delays via nonlinear feedback control -- A Computer Immune Optimization Algorithm Based on Group Evolutionary Strategy* -- Sound field reproduction in reverberant room using the Alternating Direction Method of Multipliers based Lasso and regularized Least-Square -- Improvement of Image Reconstruction Algorithm Based on CS -- Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data -- A Deep Learning Model for Multi-Label Classification Using Capsule Networks -- Bundled Round Bars Counting Based on Iteratively Trained SVM -- Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins -- Coarse-to-Fine Supervised Descent Method for Face Alignment -- Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network -- Relaxed 2-D Principal Component Analysis By Lp Norm For Face Recognition -- Palm Recognition Using the Adaptive LWT Based Sparse Representation Method -- Dislocation Theory Based Level Set Image Segmentation -- Out-of-stock Detection Based on Deep Learning -- A Fractional-order Variational Residual CNN for Low Dose CT Image Denoising -- CNN-SIFT Consecutive Searching and Matching for Wine Label Retrieval -- Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition -- Identification of apple tree trunk diseases based on improved convolutional neural network with fused loss functions -- Mirror PCA: exploiting facial symmetry for feature extraction -- Face Image Super-Resolution via Sparse Representation and Local Texture Constraints -- Convolutional Capsule-based Network for Person Re-Identification -- Plant Leaf Recognition Based on Conditional Generative Adversarial Nets -- Leaf Recognition Based on Capsule Network -- Image Segmentation Based on Local Chan-Vese Model Combined with Fractional Order Derivative -- Deep learning based fluid segmentation in retinal optical coherence tomography images -- An Authentication Scheme in VANETs Based on Group Signature -- Malware Detection in Android System Based on Change Perception -- Model Analysis and Prediction of People's Travel Behaviors Under No Shared Bicycles -- Research on Security Vulnerabilities Based on Artificial Intelligence -- Privacy Preservation Based on Key Attribute and Structure Generalization of Social Network for Medical Data Publication -- EmoSens – the Proposal of System for Recognition of Emotion with SDK Affectiva and various sensors -- Smart-Scrolling: Improving Information Access Performance in Linear Layout Views for Small-Screen Devices -- Scalable Distributed Genetic Algorithm using Apache Spark (S-GA) -- EEG-based Seizure Diagnosis Using Discriminative Fractal Features From Feature Selection -- Classifying Mixed Patterns of Proteins in High-throughput Microscopy Images Using Deep Neural Networks -- Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method -- Liver Segmentation in CT Images with Adversarial Learning -- Cascade Dense-unet for Prostate Segmentation in MR Images -- A Percolation Algorithm to Discover Emerging Research Topics -- Designing and Implementing Mobile Robot Navigation Based on Behavioral Programming -- Weed Recognition in Wheat Field based on Sparse Representation Classification -- AutomaticCloud Segmentation Based on Fused Fully Convolutional Networks -- Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of Huntington's Disease -- Urine Sediment Detection Based on Deep Learning -- Identification of Apple Leaf Diseases Based on Convolutional Neural Network -- Multiomics data analysis using tensor decomposition based unsupervised feature extraction -- Sequence-based prediction of hot spots in protein-RNA complexes using an ensemble approach -- Realtime Computer Vision-based Accurate Vehicle Counting and Speed Estimation for Highways -- Comparison of Various Weighted K-Nearest Neighbor Methods for Positioning Systems Using Visible LED Lights -- Parameters Optimization for Support Vector Regression based Indoor Visible Light Localization -- A Novel Mechanism of Position Update in Multi-objective Particle Swarm Optimization -- A New Multi-objective Particle Swarm Optimization Based on Linear Decreasing Velocity Update Mechanism -- Cluster-head Selection for Energy-harvesting IoT Devices in Multi-tier 5G Cellular Networks -- Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks -- A Recognition Method for Italian Alphabet Gestures Based on Convolutional Neural Network -- Two-stage Algorithm for Solving Multi-Depot Green Vehicle Routing Problem with Time Window -- Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem -- Study on medical image report generation based on improved encoding-decoding method -- Multi-verse Optimization Algorithm for Solving Two-dimensional TSP -- A quaternion's encoding sine cosine algorithm -- A Complex-valued Encoding Moth-flame Optimization Algorithm for Global Optimization -- An Enhanced Whale Optimization Algorithm with Simplex Method -- BFPA: Butterfly Strategy Flower Pollination Algorithm -- Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I [documento electrónico] / Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Premaratne, Prashan, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXXV, 768 p. 373 ilustraciones, 270 ilustraciones en color.
ISBN : 978-3-030-26763-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Algoritmo Redes de comunicación informática Visión por computador Red informática Inteligencia artificial Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Solving Symmetric and Asymmetric Traveling Salesman Problems Through Probe Machine with Local Search -- An Evolutionary Algorithm based on Multi-operator Ensemble for Multi-objective Optimization -- Water Evaporation Optimization Algorithm based on Classification and Unbiased Search -- A discrete sine cosine algorithm for community detection -- Automatical Pulmonary Nodule Detection by Feature Contrast Learning -- Unsupervised Cross-Domain Person Re-Identification Based on Style Transfer -- Improving Object Detection by Deep Networks with Class-related Features -- Dynamic Neural Network for Business and Market Analysis -- ψ-type synchronization of memristor-based competitive neural networks with time-varying delays via nonlinear feedback control -- A Computer Immune Optimization Algorithm Based on Group Evolutionary Strategy* -- Sound field reproduction in reverberant room using the Alternating Direction Method of Multipliers based Lasso and regularized Least-Square -- Improvement of Image Reconstruction Algorithm Based on CS -- Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data -- A Deep Learning Model for Multi-Label Classification Using Capsule Networks -- Bundled Round Bars Counting Based on Iteratively Trained SVM -- Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins -- Coarse-to-Fine Supervised Descent Method for Face Alignment -- Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network -- Relaxed 2-D Principal Component Analysis By Lp Norm For Face Recognition -- Palm Recognition Using the Adaptive LWT Based Sparse Representation Method -- Dislocation Theory Based Level Set Image Segmentation -- Out-of-stock Detection Based on Deep Learning -- A Fractional-order Variational Residual CNN for Low Dose CT Image Denoising -- CNN-SIFT Consecutive Searching and Matching for Wine Label Retrieval -- Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition -- Identification of apple tree trunk diseases based on improved convolutional neural network with fused loss functions -- Mirror PCA: exploiting facial symmetry for feature extraction -- Face Image Super-Resolution via Sparse Representation and Local Texture Constraints -- Convolutional Capsule-based Network for Person Re-Identification -- Plant Leaf Recognition Based on Conditional Generative Adversarial Nets -- Leaf Recognition Based on Capsule Network -- Image Segmentation Based on Local Chan-Vese Model Combined with Fractional Order Derivative -- Deep learning based fluid segmentation in retinal optical coherence tomography images -- An Authentication Scheme in VANETs Based on Group Signature -- Malware Detection in Android System Based on Change Perception -- Model Analysis and Prediction of People's Travel Behaviors Under No Shared Bicycles -- Research on Security Vulnerabilities Based on Artificial Intelligence -- Privacy Preservation Based on Key Attribute and Structure Generalization of Social Network for Medical Data Publication -- EmoSens – the Proposal of System for Recognition of Emotion with SDK Affectiva and various sensors -- Smart-Scrolling: Improving Information Access Performance in Linear Layout Views for Small-Screen Devices -- Scalable Distributed Genetic Algorithm using Apache Spark (S-GA) -- EEG-based Seizure Diagnosis Using Discriminative Fractal Features From Feature Selection -- Classifying Mixed Patterns of Proteins in High-throughput Microscopy Images Using Deep Neural Networks -- Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method -- Liver Segmentation in CT Images with Adversarial Learning -- Cascade Dense-unet for Prostate Segmentation in MR Images -- A Percolation Algorithm to Discover Emerging Research Topics -- Designing and Implementing Mobile Robot Navigation Based on Behavioral Programming -- Weed Recognition in Wheat Field based on Sparse Representation Classification -- AutomaticCloud Segmentation Based on Fused Fully Convolutional Networks -- Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of Huntington's Disease -- Urine Sediment Detection Based on Deep Learning -- Identification of Apple Leaf Diseases Based on Convolutional Neural Network -- Multiomics data analysis using tensor decomposition based unsupervised feature extraction -- Sequence-based prediction of hot spots in protein-RNA complexes using an ensemble approach -- Realtime Computer Vision-based Accurate Vehicle Counting and Speed Estimation for Highways -- Comparison of Various Weighted K-Nearest Neighbor Methods for Positioning Systems Using Visible LED Lights -- Parameters Optimization for Support Vector Regression based Indoor Visible Light Localization -- A Novel Mechanism of Position Update in Multi-objective Particle Swarm Optimization -- A New Multi-objective Particle Swarm Optimization Based on Linear Decreasing Velocity Update Mechanism -- Cluster-head Selection for Energy-harvesting IoT Devices in Multi-tier 5G Cellular Networks -- Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks -- A Recognition Method for Italian Alphabet Gestures Based on Convolutional Neural Network -- Two-stage Algorithm for Solving Multi-Depot Green Vehicle Routing Problem with Time Window -- Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem -- Study on medical image report generation based on improved encoding-decoding method -- Multi-verse Optimization Algorithm for Solving Two-dimensional TSP -- A quaternion's encoding sine cosine algorithm -- A Complex-valued Encoding Moth-flame Optimization Algorithm for Global Optimization -- An Enhanced Whale Optimization Algorithm with Simplex Method -- BFPA: Butterfly Strategy Flower Pollination Algorithm -- Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : 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. Palabras clave: Estructuras aritméticas y lógicas BiologÃa Computacional y de Sistemas TeorÃa de la Computación Inteligencia artificial Visión por computador Unidades aritméticas y lógicas informáticas Informática Bioinformática Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. 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. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 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.
Palabras clave: Estructuras aritméticas y lógicas BiologÃa Computacional y de Sistemas TeorÃa de la Computación Inteligencia artificial Visión por computador Unidades aritméticas y lógicas informáticas Informática Bioinformática Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. 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. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part III Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Huang, Zhi-Kai, ; Hussain, Abir, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXI, 812 p. 396 ilustraciones, 284 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26766-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Sistemas de propósito especial y basados ​​en aplicaciones Reconocimiento de patrones automatizado MinerÃa de datos y descubrimiento de conocimientos Sistemas de reconocimiento de patrones Procesamiento de datos Ordenador Ãndice Dewey: 006.3 Inteligencia artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Flower Species Recognition System Combining Object Detection and Attention Mechanism -- A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor -- A New Hybrid Calibration Method for Robot Manipulators by Combining Model–Based Identification Technique and A Radial Basis Function–Based Error Compensation -- Smart Wheelchair Maneuvering Among People -- A human-robot interaction system based on calling hand gestures -- A Welding Defect Identification Approach in X-ray Images Based on Deep Convolutional Neural Networks -- Person Re-identification Based On Feature Fusion -- Exploiting Local Shape Information for Cross-Modal Person Re-identification -- Single and Multi-channel Direct Visual Odometry with Binary Descriptors -- Performance Evaluation of Faster R-CNN for On-Road Object detection on Graphical Processing Unit and Central Processing unit -- Research on Full Homomorphic Encryption Algorithm for Integer in Cloud Environment -- Implementation of a centralized scheduling algorithm for IEEE 802.15.4e TSCH -- Learning Automata-based Solutions to the Multi-Elevator Problem -- Developing System from Low-Cost Devices to Build a Security and Fire System as a Part of IoT -- Full-Order Sliding Mode Control Algorithm for Robot Manipulators Using an Adaptive Radial Basis Function Neural Network -- Continuous PID Sliding Mode Control Based on Neural Third Order Sliding Mode Observer for Robotic Manipulators -- Intelligent Bus Shunt Control System Based on Face Recognition -- Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices -- Optimizing Self-Organizing Lists-on-Lists using Pursuit-Oriented Enhanced Object Partitioning -- Research on Location Prediction of Moving Objects Based on Grey Markov Model -- Mildew Prediction Model of Warehousing Tobacco Based on Particle Swarm Optimization and BP Neural Network -- Exploring the pan-relationship between disease and symptom related to coronary heart disease from Chinese electronic medical records -- The Actuator and Sensor Fault Estimation Using Robust Observer Based Reconstruction for Mini Motion Pack-age Electro-Hydraulic Actuator -- The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied To Mini Mo-tion Package Electro-Hydraulic Actuator -- A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional Switches Indirect Matrix Converter -- Rotary Machine Fault Diagnosis using Scalogram Imageand Convolutional Neural Network with BatchNormalization -- Real Implementation of an Active Fault Tolerant Control based on Super Twisting Technique for a Robot Manipulator -- Credibility Assessment of Complex Simulation Models using Cloud Models to Represent and Aggregate Diverse Evaluation Results -- Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations -- Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds.-A New Manifold-based Feature Extraction Method -- lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding -- Prediction of Plant lncRNA-protein Interactions Using Sequence Information Based on Deep Learning -- Predicting of Drug-disease Associations via Sparse auto- encoder-based Rotation Forest -- A Novel Compression Algorithm forHardware-Oriented Gradient Boosting DecisionTree Classification Model -- MISSIM: improved miRNA-disease association prediction model based on Chaos Game Representation and Broad Learning System -- Univariate Thiele type continued fractions rational interpolation with parameters -- Data Science approaches for the analysis of animal behaviours -- An algorithm of bidirectional RNN for offline handwritten Chinese text -- A Novel Concise Representation of Frequent Subtrees Based on Density -- Ranking Research Institutions Based on the Combination of Individual and Network Features -- Chinese Temporal Expression Recognition Combining Rules with a Statistical model -- An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column -- A selection method for denoising auto encoder features using cross entropy -- Data Lineage Approach of Multi-Version Documents Traceability in Complex Software Engineering -- Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario -- A Fuzzy Constraint Based Method for Outlier Detection -- Chinese Agricultural Entity Relation Extraction via Deep Learning -- Dimensions Effect in Word Embeddings of Knowledge Graph -- Short text mapping based on fast clustering using minimum spanning trees -- Missing Data Imputation for Operation Data of Transformer Based on Functional Principal Component Analysis and Wavelet Transform -- Periodic Action Temporal Location Method Based on Two-Path Architecture for Product Counting in Sewing Video -- Investigating the Capability of Agile processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations -- Age Group Detection in Stochastic Gas Smart Meter Data using Decision-Tree Learning -- Non-directional learning strategy particle swarm optimization algorithm -- An Improved Social Learning Particle Swarm Optimization Algorithm with Selected Learning -- An Integrated Classification Algorithm Using Forecasting Probability Strategies for Mobile App Statistics -- An improved PSO algorithm with an area-oriented learning strategy -- An Improved PSO Algorithm with Migration Behavior and Asynchronous Varying Acceleration Coefï¬cient -- Data Clustering Using the Cooperative Search based Artificial Bee Colony Algorithm -- Feature Selection using a Reinforcement-Behaved Brain Storm Optimization -- Shuffle Single Shot Detector -- Feasibility of a non-immersive virtual reality training on functional living skills applied to person with major neurocognitive disorder -- Design and development of a robotic platform based on virtual reality scenarios and wearable sensors for upper limb rehabilitation and visuomotor coordination -- Depth-Awareness in a System for Mixed-RealityAided Surgical Procedures -- An Innovative Neural Network Framework For Glomerulus Classification Based On Morphological And Texture Features Evaluated In Histological Images Of Kidney Biopsy -- Evaluating generalization capability of Bio-inspired models for a myoelectric control: a pilot study -- A Survey on Deep Learning in Electromyographic Signal Analysis -- Occluded Object Classification with Assistant Unit -- Water Wave Optimization for Flow-Shop Scheduling -- The Implementation of Pretrained AlexNet On PCG Classification -- Power supply and its expert system for cold welding of aluminum and magnesium sheet metal. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part III [documento electrónico] / Huang, De-Shuang, ; Huang, Zhi-Kai, ; Hussain, Abir, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXI, 812 p. 396 ilustraciones, 284 ilustraciones en color.
ISBN : 978-3-030-26766-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Sistemas de propósito especial y basados ​​en aplicaciones Reconocimiento de patrones automatizado MinerÃa de datos y descubrimiento de conocimientos Sistemas de reconocimiento de patrones Procesamiento de datos Ordenador Ãndice Dewey: 006.3 Inteligencia artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Flower Species Recognition System Combining Object Detection and Attention Mechanism -- A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor -- A New Hybrid Calibration Method for Robot Manipulators by Combining Model–Based Identification Technique and A Radial Basis Function–Based Error Compensation -- Smart Wheelchair Maneuvering Among People -- A human-robot interaction system based on calling hand gestures -- A Welding Defect Identification Approach in X-ray Images Based on Deep Convolutional Neural Networks -- Person Re-identification Based On Feature Fusion -- Exploiting Local Shape Information for Cross-Modal Person Re-identification -- Single and Multi-channel Direct Visual Odometry with Binary Descriptors -- Performance Evaluation of Faster R-CNN for On-Road Object detection on Graphical Processing Unit and Central Processing unit -- Research on Full Homomorphic Encryption Algorithm for Integer in Cloud Environment -- Implementation of a centralized scheduling algorithm for IEEE 802.15.4e TSCH -- Learning Automata-based Solutions to the Multi-Elevator Problem -- Developing System from Low-Cost Devices to Build a Security and Fire System as a Part of IoT -- Full-Order Sliding Mode Control Algorithm for Robot Manipulators Using an Adaptive Radial Basis Function Neural Network -- Continuous PID Sliding Mode Control Based on Neural Third Order Sliding Mode Observer for Robotic Manipulators -- Intelligent Bus Shunt Control System Based on Face Recognition -- Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices -- Optimizing Self-Organizing Lists-on-Lists using Pursuit-Oriented Enhanced Object Partitioning -- Research on Location Prediction of Moving Objects Based on Grey Markov Model -- Mildew Prediction Model of Warehousing Tobacco Based on Particle Swarm Optimization and BP Neural Network -- Exploring the pan-relationship between disease and symptom related to coronary heart disease from Chinese electronic medical records -- The Actuator and Sensor Fault Estimation Using Robust Observer Based Reconstruction for Mini Motion Pack-age Electro-Hydraulic Actuator -- The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied To Mini Mo-tion Package Electro-Hydraulic Actuator -- A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional Switches Indirect Matrix Converter -- Rotary Machine Fault Diagnosis using Scalogram Imageand Convolutional Neural Network with BatchNormalization -- Real Implementation of an Active Fault Tolerant Control based on Super Twisting Technique for a Robot Manipulator -- Credibility Assessment of Complex Simulation Models using Cloud Models to Represent and Aggregate Diverse Evaluation Results -- Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations -- Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds.-A New Manifold-based Feature Extraction Method -- lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding -- Prediction of Plant lncRNA-protein Interactions Using Sequence Information Based on Deep Learning -- Predicting of Drug-disease Associations via Sparse auto- encoder-based Rotation Forest -- A Novel Compression Algorithm forHardware-Oriented Gradient Boosting DecisionTree Classification Model -- MISSIM: improved miRNA-disease association prediction model based on Chaos Game Representation and Broad Learning System -- Univariate Thiele type continued fractions rational interpolation with parameters -- Data Science approaches for the analysis of animal behaviours -- An algorithm of bidirectional RNN for offline handwritten Chinese text -- A Novel Concise Representation of Frequent Subtrees Based on Density -- Ranking Research Institutions Based on the Combination of Individual and Network Features -- Chinese Temporal Expression Recognition Combining Rules with a Statistical model -- An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column -- A selection method for denoising auto encoder features using cross entropy -- Data Lineage Approach of Multi-Version Documents Traceability in Complex Software Engineering -- Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario -- A Fuzzy Constraint Based Method for Outlier Detection -- Chinese Agricultural Entity Relation Extraction via Deep Learning -- Dimensions Effect in Word Embeddings of Knowledge Graph -- Short text mapping based on fast clustering using minimum spanning trees -- Missing Data Imputation for Operation Data of Transformer Based on Functional Principal Component Analysis and Wavelet Transform -- Periodic Action Temporal Location Method Based on Two-Path Architecture for Product Counting in Sewing Video -- Investigating the Capability of Agile processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations -- Age Group Detection in Stochastic Gas Smart Meter Data using Decision-Tree Learning -- Non-directional learning strategy particle swarm optimization algorithm -- An Improved Social Learning Particle Swarm Optimization Algorithm with Selected Learning -- An Integrated Classification Algorithm Using Forecasting Probability Strategies for Mobile App Statistics -- An improved PSO algorithm with an area-oriented learning strategy -- An Improved PSO Algorithm with Migration Behavior and Asynchronous Varying Acceleration Coefï¬cient -- Data Clustering Using the Cooperative Search based Artificial Bee Colony Algorithm -- Feature Selection using a Reinforcement-Behaved Brain Storm Optimization -- Shuffle Single Shot Detector -- Feasibility of a non-immersive virtual reality training on functional living skills applied to person with major neurocognitive disorder -- Design and development of a robotic platform based on virtual reality scenarios and wearable sensors for upper limb rehabilitation and visuomotor coordination -- Depth-Awareness in a System for Mixed-RealityAided Surgical Procedures -- An Innovative Neural Network Framework For Glomerulus Classification Based On Morphological And Texture Features Evaluated In Histological Images Of Kidney Biopsy -- Evaluating generalization capability of Bio-inspired models for a myoelectric control: a pilot study -- A Survey on Deep Learning in Electromyographic Signal Analysis -- Occluded Object Classification with Assistant Unit -- Water Wave Optimization for Flow-Shop Scheduling -- The Implementation of Pretrained AlexNet On PCG Classification -- Power supply and its expert system for cold welding of aluminum and magnesium sheet metal. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part I Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Hussain, Abir, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXXIV, 614 p. 261 ilustraciones, 148 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-60799-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Visión por computador Entornos informáticos Aprendizaje automático TeorÃa de la Computación Redes de comunicación informática Ordenador Informática Red informática Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, que aborden teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Evolutionary Computing and Learning -- Swarm Intelligence and Optimization -- Compressed Sensing and Sparse Coding -- Neural Networks -- Signal Processing -- Pattern Recognition -- Biometrics Recognition -- Image Processing -- Information Security -- Artificial Intelligence in Biological and Medical Information Procession -- Recent advances in deep learning methods and techniques for medical image analysis. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part I [documento electrónico] / Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Hussain, Abir, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXXIV, 614 p. 261 ilustraciones, 148 ilustraciones en color.
ISBN : 978-3-030-60799-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Visión por computador Entornos informáticos Aprendizaje automático TeorÃa de la Computación Redes de comunicación informática Ordenador Informática Red informática Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, que aborden teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Evolutionary Computing and Learning -- Swarm Intelligence and Optimization -- Compressed Sensing and Sparse Coding -- Neural Networks -- Signal Processing -- Pattern Recognition -- Biometrics Recognition -- Image Processing -- Information Security -- Artificial Intelligence in Biological and Medical Information Procession -- Recent advances in deep learning methods and techniques for medical image analysis. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : 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. Palabras clave: IngenierÃa Informática IngenierÃa 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 Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, que aborden teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. 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. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 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.
Palabras clave: IngenierÃa Informática IngenierÃa 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 Ãndice Dewey: 006.37 Visión artificial 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, que aborden teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. 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. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
Permalink
Permalink
Permalink
Permalink
Permalink
Permalink
Permalink
Permalink
Permalink
Permalink
