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Autor Premaratne, Prashan |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra 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. Idioma : Inglés (eng) Palabras clave: Algoritmo Redes de comunicación informática Visión por computador Red informática Inteligencia artificial 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 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. 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 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.
Idioma : Inglés (eng)
Palabras clave: Algoritmo Redes de comunicación informática Visión por computador Red informática Inteligencia artificial 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 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. 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 [...]
TÃtulo : 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part III Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Premaratne, Prashan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXII, 638 p. 67 ilustraciones ISBN/ISSN/DL: 978-3-030-60796-8 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: MinerÃa de datos y descubrimiento de conocimientos IngenierÃa de software Visión Redes de comunicación informática Entornos informáticos Inteligencia artificial Procesamiento de imágenes Procesamiento de datos Red informática Ordenador Visión po Clasificación: 006.3 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: Intelligent Computing in Robotics -- Intelligent Computing in Computer Vision -- Intelligent Computing in Communication Networks -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Intelligent Fault Diagnosis -- Fuzzy Theory and Algorithms -- Kernel Methods and Supporting Vector Machines -- Machine Learning -- Knowledge Discovery and Data Mining -- Natural Language Processing and Computational Linguistics -- Recent Advances in Swarm Intelligence: computing and applications -- Information Security. 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 III [documento electrónico] / Huang, De-Shuang, ; Premaratne, Prashan, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXII, 638 p. 67 ilustraciones.
ISBN : 978-3-030-60796-8
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: MinerÃa de datos y descubrimiento de conocimientos IngenierÃa de software Visión Redes de comunicación informática Entornos informáticos Inteligencia artificial Procesamiento de imágenes Procesamiento de datos Red informática Ordenador Visión po Clasificación: 006.3 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: Intelligent Computing in Robotics -- Intelligent Computing in Computer Vision -- Intelligent Computing in Communication Networks -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Intelligent Fault Diagnosis -- Fuzzy Theory and Algorithms -- Kernel Methods and Supporting Vector Machines -- Machine Learning -- Knowledge Discovery and Data Mining -- Natural Language Processing and Computational Linguistics -- Recent Advances in Swarm Intelligence: computing and applications -- Information Security. 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 [...]
TÃtulo : 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Los artÃculos están organizados en las siguientes subsecciones: Inteligencia artificial en aplicaciones del mundo real, TeorÃa y métodos de la informática biomédica, Informática de enfermedades complejas, Modelado y análisis de la regulación genética, Computación inteligente en biologÃa computacional y Predicción de la estructura y función de las proteÃnas. 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 artÃculos 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 "MetodologÃas y aplicaciones de computación inteligente avanzada". Los artÃculos están organizados en las siguientes subsecciones: Inteligencia artificial en aplicaciones del mundo real, TeorÃa y métodos de la informática biomédica, Informática de enfermedades complejas, Modelado y análisis de la regulación genética, Computación inteligente en biologÃa computacional y Predicción de la estructura y función de las proteÃnas. 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 [...]
TÃtulo : Intelligent Computing Theories and Application : 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part I Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Premaratne, Prashan, ; Gupta, Phalguni, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXI, 815 p. 330 ilustraciones ISBN/ISSN/DL: 978-3-319-63309-1 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: Reconocimiento de patrones automatizado TeorÃa de la Computación BiologÃa Computacional y de Sistemas Visión por computador Aplicaciones informáticas y de sistemas de información Inteligencia artificial Bioinformática Sistemas de reconocimiento de patrones Application software Informática Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de tres volúmenes LNCS 10361, LNCS 10362 y LNAI 10363 constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2017, celebrada en Liverpool, Reino Unido, en agosto de 2017. Los 212 artÃculos completos y los 20 artÃculos breves de los tres volúmenes de actas se revisaron cuidadosamente y se seleccionaron de 612 presentaciones. Este primer volumen del conjunto comprende 71 artÃculos. Los artÃculos están organizados en secciones temáticas como Computación evolutiva y aprendizaje; Redes neuronales; Computación inspirada en la naturaleza y optimización; Procesamiento de señales; Reconocimiento de patrones; Reconocimiento biométrico; Procesamiento de imágenes; Seguridad de la información; Realidad virtual e interacción hombre-computadora; Inteligencia empresarial y tecnologÃa multimedia; Algoritmos genéticos; TeorÃa y métodos de informática biomédica; Optimización de enjambre de partÃculas y tecnologÃa de nicho; Inteligencia y optimización de enjambre; Análisis de componentes independientes; Detección comprimida y codificación dispersa; Computación natural; Computación inteligente en visión por computadora; Inteligencia computacional y seguridad para aplicaciones de imágenes en redes sociales; Redes neuronales: teorÃa y aplicación. Nota de contenido: Evolutionary Computation and Learning -- Neural Networks -- Nature Inspired Computing and Optimization -- Signal Processing -- Pattern Recognition -- Biometrics Recognition -- Image Processing; Information Security -- Virtual Reality and Human-Computer Interaction -- Business Intelligence and Multimedia Technology -- Genetic Algorithms -- Biomedical Informatics Theory and Methods -- Particle Swarm Optimization and Niche Technology -- Swarm Intelligence and Optimization -- Independent Component Analysis -- Compressed Sensing and Sparse Coding -- Natural Computing -- Intelligent Computing in Computer Vision -- Computational Intelligence and Security for Image Applications in Social Network -- Neural Networks: Theory and Application. Tipo de medio : Computadora Summary : This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. The 212 full papers and 20 short papers of the three proceedings volumes were carefully reviewed and selected from 612 submissions. This first volume of the set comprises 71 papers. The papers are organized in topical sections such as Evolutionary Computation and Learning; Neural Networks; Nature Inspired Computing and Optimization; Signal Processing; Pattern Recognition; Biometrics Recognition; Image Processing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Genetic Algorithms; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Swarm Intelligence and Optimization; Independent Component Analysis; Compressed Sensing and Sparse Coding; Natural Computing; Intelligent Computing in Computer Vision; Computational Intelligence and Security for Image Applications in Social Network; Neural Networks: Theory and Application. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Computing Theories and Application : 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part I [documento electrónico] / Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Premaratne, Prashan, ; Gupta, Phalguni, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXI, 815 p. 330 ilustraciones.
ISBN : 978-3-319-63309-1
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: Reconocimiento de patrones automatizado TeorÃa de la Computación BiologÃa Computacional y de Sistemas Visión por computador Aplicaciones informáticas y de sistemas de información Inteligencia artificial Bioinformática Sistemas de reconocimiento de patrones Application software Informática Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de tres volúmenes LNCS 10361, LNCS 10362 y LNAI 10363 constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2017, celebrada en Liverpool, Reino Unido, en agosto de 2017. Los 212 artÃculos completos y los 20 artÃculos breves de los tres volúmenes de actas se revisaron cuidadosamente y se seleccionaron de 612 presentaciones. Este primer volumen del conjunto comprende 71 artÃculos. Los artÃculos están organizados en secciones temáticas como Computación evolutiva y aprendizaje; Redes neuronales; Computación inspirada en la naturaleza y optimización; Procesamiento de señales; Reconocimiento de patrones; Reconocimiento biométrico; Procesamiento de imágenes; Seguridad de la información; Realidad virtual e interacción hombre-computadora; Inteligencia empresarial y tecnologÃa multimedia; Algoritmos genéticos; TeorÃa y métodos de informática biomédica; Optimización de enjambre de partÃculas y tecnologÃa de nicho; Inteligencia y optimización de enjambre; Análisis de componentes independientes; Detección comprimida y codificación dispersa; Computación natural; Computación inteligente en visión por computadora; Inteligencia computacional y seguridad para aplicaciones de imágenes en redes sociales; Redes neuronales: teorÃa y aplicación. Nota de contenido: Evolutionary Computation and Learning -- Neural Networks -- Nature Inspired Computing and Optimization -- Signal Processing -- Pattern Recognition -- Biometrics Recognition -- Image Processing; Information Security -- Virtual Reality and Human-Computer Interaction -- Business Intelligence and Multimedia Technology -- Genetic Algorithms -- Biomedical Informatics Theory and Methods -- Particle Swarm Optimization and Niche Technology -- Swarm Intelligence and Optimization -- Independent Component Analysis -- Compressed Sensing and Sparse Coding -- Natural Computing -- Intelligent Computing in Computer Vision -- Computational Intelligence and Security for Image Applications in Social Network -- Neural Networks: Theory and Application. Tipo de medio : Computadora Summary : This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. The 212 full papers and 20 short papers of the three proceedings volumes were carefully reviewed and selected from 612 submissions. This first volume of the set comprises 71 papers. The papers are organized in topical sections such as Evolutionary Computation and Learning; Neural Networks; Nature Inspired Computing and Optimization; Signal Processing; Pattern Recognition; Biometrics Recognition; Image Processing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Genetic Algorithms; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Swarm Intelligence and Optimization; Independent Component Analysis; Compressed Sensing and Sparse Coding; Natural Computing; Intelligent Computing in Computer Vision; Computational Intelligence and Security for Image Applications in Social Network; Neural Networks: Theory and Application. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Intelligent Computing Theories and Application : 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Premaratne, Prashan, ; Gupta, Phalguni, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXII, 910 p. 346 ilustraciones ISBN/ISSN/DL: 978-3-319-95930-6 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: Red informática Sistemas de propósito especial y basados ​​en aplicaciones Redes de comunicación informática MinerÃa de datos y descubrimiento de conocimientos Inteligencia artificial Procesamiento de datos Algoritmo Visión por computador Ordenado Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes LNCS 10954 y LNCS 10955 constituye, junto con el volumen LNAI 10956, las actas arbitradas de la 14.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2018, celebrada en Wuhan, China, en agosto de 2018. Los 275 artÃculos completos y Se revisaron y seleccionaron cuidadosamente 72 artÃculos breves de los tres volúmenes de actas entre 632 presentaciones. Los artÃculos están organizados en secciones temáticas como Redes neuronales.- Reconocimiento de patrones.- Procesamiento de imágenes.- Computación inteligente en robótica.- Control inteligente y automatización.- Análisis y predicción de datos inteligentes.- TeorÃa y algoritmos difusos.- Aprendizaje supervisado.- Aprendizaje no supervisado.- Métodos del núcleo y máquinas de vectores de soporte.- Descubrimiento de conocimiento y minerÃa de datos.- Procesamiento del lenguaje natural y lingüÃstica computacional.- Análisis de matrices de expresión genética.- BiologÃa de sistemas.- Genómica computacional.- Proteómica computacional.- Modelado y análisis de regulación genética .- Predicción de interacción proteÃna-proteÃna.- Secuenciación y metagenómica de próxima generación.- Predicción y plegamiento de estructuras.- Optimización evolutiva para la programación.- Integración y minerÃa de datos biomédicos de alto rendimiento.- Algoritmos y aplicaciones de aprendizaje automático.- Algoritmos de optimización heurÃstica para Aplicaciones del mundo real.- Optimización evolutiva multiobjetivo y sus aplicaciones.- Algoritmos evolutivos de enjambre para programación y combinatoria.- Optimización.- Inteligencia de enjambre y aplicaciones en optimización combinatoria.- Avances en algoritmos de optimización metaheurÃstica.- Avances en procesamiento y patrones de imágenes Técnicas de Reconocimiento.- IA en Biomedicina.- Bioinformática.- Reconocimiento Biométrico.- Seguridad de la Información.- Realidad Virtual e Interacción Humano-Computador.- TeorÃa y Métodos de la Informática Sanitaria.- Computación Inteligente en Visión por Computador.- Agente Inteligente y Aplicaciones Web.- Aprendizaje por refuerzo.- Aprendizaje automático.- Modelado, simulación y optimización de sistemas biológicos.- Modelado y minerÃa de datos biomédicos.- Quimioinformática.- Computación inteligente en biologÃa computacional.- Predicción de estructuras y funciones de proteÃnas.- Descubrimiento de biomarcadores.- Inteligencia computacional hÃbrida. : TeorÃa y Aplicación en Bioinformática, BiologÃa Computacional y BiologÃa de Sistemas.- IoT y Smart Data.- Sistemas Inteligentes y Aplicaciones para la BioingenierÃa.- Optimización Evolutiva: Fundamentos y sus Aplicaciones al Análisis Inteligente de Datos.- Bioinformática de ProteÃnas y Genes: Análisis, Algoritmos y Aplicaciones. Nota de contenido: Neural Networks -- Pattern Recognition -- Image Processing -- Intelligent Computing in Robotics -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Fuzzy Theory and Algorithms -- Supervised Learning -- Unsupervised Learning -- Kernel Methods and Supporting Vector Machines -- Knowledge Discovery and Data Mining -- Natural Language Processing and Computational Linguistics -- Gene Expression Array Analysis -- Systems Biology -- Computational Genomics -- Computational Proteomics -- Gene Regulation Modeling and Analysis -- Protein-Protein Interaction Prediction -- Next-Gen Sequencing and Metagenomics -- Structure Prediction and Folding -- Evolutionary Optimization for Scheduling -- High-Throughput Biomedical Data Integration and Mining -- Machine Learning Algorithms and Applications -- Heuristic Optimization Algorithms for Real-World Applications -- Evolutionary Multi-Objective Optimization and Its Applications -- Swarm Evolutionary Algorithms for Scheduling and Combinatorial -- Optimization -- Swarm Intelligence and Applications in Combinatorial Optimization -- Advances in Metaheuristic Optimization Algorithm -- Advances in Image Processing and Pattern Recognition Techniques -- AI in Biomedicine -- Bioinformatics -- Biometrics Recognition -- Information Security -- Virtual Reality and Human-Computer Interaction -- Healthcare Informatics Theory and Methods -- Intelligent Computing in Computer Vision -- Intelligent Agent and Web Applications -- Reinforcement Learning -- Machine Learning -- Modeling, Simulation, and Optimization of Biological Systems -- Biomedical Data Modeling and Mining -- Cheminformatics -- Intelligent Computing in Computational Biology -- Protein Structure and Function Prediction -- Biomarker Discovery -- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology -- IoT and Smart Data -- Intelligent Systems and Applications for Bioengineering -- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics -- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications. Tipo de medio : Computadora Summary : This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supporting Vector Machines.- Knowledge Discovery and Data Mining.- Natural Language Processing and Computational Linguistics.- Gene Expression Array Analysis.- Systems Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Evolutionary Optimization for Scheduling.- High-Throughput Biomedical Data Integration and Mining.- Machine Learning Algorithms and Applications.- Heuristic Optimization Algorithms for Real-World Applications.- Evolutionary Multi-Objective Optimization and Its Applications.- Swarm Evolutionary Algorithms for Scheduling and Combinatorial.- Optimization.- Swarm Intelligence and Applications in Combinatorial Optimization.- Advances in Metaheuristic Optimization Algorithm.- Advances in Image Processing and Pattern Recognition Techniques.- AI in Biomedicine.- Bioinformatics.- Biometrics Recognition.- Information Security.- Virtual Reality and Human-Computer Interaction.- Healthcare Informatics Theory and Methods.- Intelligent Computing in Computer Vision.- Intelligent Agent and Web Applications.- Reinforcement Learning.- Machine Learning.- Modeling, Simulation, and Optimization of Biological Systems.- Biomedical Data Modeling and Mining.- Cheminformatics.- Intelligent Computing in Computational Biology.- Protein Structure and Function Prediction.- Biomarker Discovery.- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology.- IoT and Smart Data.- Intelligent Systems and Applications for Bioengineering.- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics.- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Computing Theories and Application : 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I [documento electrónico] / Huang, De-Shuang, ; Bevilacqua, Vitoantonio, ; Premaratne, Prashan, ; Gupta, Phalguni, . - 1 ed. . - [s.l.] : Springer, 2018 . - XXII, 910 p. 346 ilustraciones.
ISBN : 978-3-319-95930-6
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: Red informática Sistemas de propósito especial y basados ​​en aplicaciones Redes de comunicación informática MinerÃa de datos y descubrimiento de conocimientos Inteligencia artificial Procesamiento de datos Algoritmo Visión por computador Ordenado Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes LNCS 10954 y LNCS 10955 constituye, junto con el volumen LNAI 10956, las actas arbitradas de la 14.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2018, celebrada en Wuhan, China, en agosto de 2018. Los 275 artÃculos completos y Se revisaron y seleccionaron cuidadosamente 72 artÃculos breves de los tres volúmenes de actas entre 632 presentaciones. Los artÃculos están organizados en secciones temáticas como Redes neuronales.- Reconocimiento de patrones.- Procesamiento de imágenes.- Computación inteligente en robótica.- Control inteligente y automatización.- Análisis y predicción de datos inteligentes.- TeorÃa y algoritmos difusos.- Aprendizaje supervisado.- Aprendizaje no supervisado.- Métodos del núcleo y máquinas de vectores de soporte.- Descubrimiento de conocimiento y minerÃa de datos.- Procesamiento del lenguaje natural y lingüÃstica computacional.- Análisis de matrices de expresión genética.- BiologÃa de sistemas.- Genómica computacional.- Proteómica computacional.- Modelado y análisis de regulación genética .- Predicción de interacción proteÃna-proteÃna.- Secuenciación y metagenómica de próxima generación.- Predicción y plegamiento de estructuras.- Optimización evolutiva para la programación.- Integración y minerÃa de datos biomédicos de alto rendimiento.- Algoritmos y aplicaciones de aprendizaje automático.- Algoritmos de optimización heurÃstica para Aplicaciones del mundo real.- Optimización evolutiva multiobjetivo y sus aplicaciones.- Algoritmos evolutivos de enjambre para programación y combinatoria.- Optimización.- Inteligencia de enjambre y aplicaciones en optimización combinatoria.- Avances en algoritmos de optimización metaheurÃstica.- Avances en procesamiento y patrones de imágenes Técnicas de Reconocimiento.- IA en Biomedicina.- Bioinformática.- Reconocimiento Biométrico.- Seguridad de la Información.- Realidad Virtual e Interacción Humano-Computador.- TeorÃa y Métodos de la Informática Sanitaria.- Computación Inteligente en Visión por Computador.- Agente Inteligente y Aplicaciones Web.- Aprendizaje por refuerzo.- Aprendizaje automático.- Modelado, simulación y optimización de sistemas biológicos.- Modelado y minerÃa de datos biomédicos.- Quimioinformática.- Computación inteligente en biologÃa computacional.- Predicción de estructuras y funciones de proteÃnas.- Descubrimiento de biomarcadores.- Inteligencia computacional hÃbrida. : TeorÃa y Aplicación en Bioinformática, BiologÃa Computacional y BiologÃa de Sistemas.- IoT y Smart Data.- Sistemas Inteligentes y Aplicaciones para la BioingenierÃa.- Optimización Evolutiva: Fundamentos y sus Aplicaciones al Análisis Inteligente de Datos.- Bioinformática de ProteÃnas y Genes: Análisis, Algoritmos y Aplicaciones. Nota de contenido: Neural Networks -- Pattern Recognition -- Image Processing -- Intelligent Computing in Robotics -- Intelligent Control and Automation -- Intelligent Data Analysis and Prediction -- Fuzzy Theory and Algorithms -- Supervised Learning -- Unsupervised Learning -- Kernel Methods and Supporting Vector Machines -- Knowledge Discovery and Data Mining -- Natural Language Processing and Computational Linguistics -- Gene Expression Array Analysis -- Systems Biology -- Computational Genomics -- Computational Proteomics -- Gene Regulation Modeling and Analysis -- Protein-Protein Interaction Prediction -- Next-Gen Sequencing and Metagenomics -- Structure Prediction and Folding -- Evolutionary Optimization for Scheduling -- High-Throughput Biomedical Data Integration and Mining -- Machine Learning Algorithms and Applications -- Heuristic Optimization Algorithms for Real-World Applications -- Evolutionary Multi-Objective Optimization and Its Applications -- Swarm Evolutionary Algorithms for Scheduling and Combinatorial -- Optimization -- Swarm Intelligence and Applications in Combinatorial Optimization -- Advances in Metaheuristic Optimization Algorithm -- Advances in Image Processing and Pattern Recognition Techniques -- AI in Biomedicine -- Bioinformatics -- Biometrics Recognition -- Information Security -- Virtual Reality and Human-Computer Interaction -- Healthcare Informatics Theory and Methods -- Intelligent Computing in Computer Vision -- Intelligent Agent and Web Applications -- Reinforcement Learning -- Machine Learning -- Modeling, Simulation, and Optimization of Biological Systems -- Biomedical Data Modeling and Mining -- Cheminformatics -- Intelligent Computing in Computational Biology -- Protein Structure and Function Prediction -- Biomarker Discovery -- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology -- IoT and Smart Data -- Intelligent Systems and Applications for Bioengineering -- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics -- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications. Tipo de medio : Computadora Summary : This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supporting Vector Machines.- Knowledge Discovery and Data Mining.- Natural Language Processing and Computational Linguistics.- Gene Expression Array Analysis.- Systems Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Evolutionary Optimization for Scheduling.- High-Throughput Biomedical Data Integration and Mining.- Machine Learning Algorithms and Applications.- Heuristic Optimization Algorithms for Real-World Applications.- Evolutionary Multi-Objective Optimization and Its Applications.- Swarm Evolutionary Algorithms for Scheduling and Combinatorial.- Optimization.- Swarm Intelligence and Applications in Combinatorial Optimization.- Advances in Metaheuristic Optimization Algorithm.- Advances in Image Processing and Pattern Recognition Techniques.- AI in Biomedicine.- Bioinformatics.- Biometrics Recognition.- Information Security.- Virtual Reality and Human-Computer Interaction.- Healthcare Informatics Theory and Methods.- Intelligent Computing in Computer Vision.- Intelligent Agent and Web Applications.- Reinforcement Learning.- Machine Learning.- Modeling, Simulation, and Optimization of Biological Systems.- Biomedical Data Modeling and Mining.- Cheminformatics.- Intelligent Computing in Computational Biology.- Protein Structure and Function Prediction.- Biomarker Discovery.- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology.- IoT and Smart Data.- Intelligent Systems and Applications for Bioengineering.- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics.- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
