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Autor Bevilacqua, Vitoantonio |
Documentos disponibles escritos por este autor (6)



15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I / Huang, De-Shuang ; Bevilacqua, Vitoantonio ; Premaratne, Prashan
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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 [...] 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part I / Huang, De-Shuang ; Bevilacqua, Vitoantonio ; Hussain, Abir
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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. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Visión por computador Entornos informáticos Aprendizaje automático TeorÃa de la Computación Redes de comunicación informática Ordenador Informática Red informática Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12463 y LNCS 12464 constituye, junto con el volumen LNAI 12465, las actas arbitradas de la 16.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2020, celebrada en Bari, Italia, en octubre de 2020. Los 162 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. 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 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.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Visión por computador Entornos informáticos Aprendizaje automático TeorÃa de la Computación Redes de comunicación informática Ordenador Informática Red informática Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12463 y LNCS 12464 constituye, junto con el volumen LNAI 12465, las actas arbitradas de la 16.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2020, celebrada en Bari, Italia, en octubre de 2020. Los 162 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. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part I / Huang, De-Shuang ; Jo, Kang-Hyun ; Li, Jianqiang ; Gribova, Valeriya ; Bevilacqua, Vitoantonio
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TÃtulo : 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Bevilacqua, Vitoantonio, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXXVI, 889 p. 462 ilustraciones, 337 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-84522-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos Aplicación informática en ciencias sociales y del comportamiento Aprendizaje automático Redes de comunicación informática Visión por computador Red informática IngenierÃa Informática Ciencias sociales IngenierÃa Informática y Redes Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 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: Computación y aprendizaje evolutivos, procesamiento de imágenes y señales, seguridad de la información, redes neuronales, optimización e inteligencia de enjambre de reconocimiento de patrones, y realidad virtual e interacción persona-computadora. Nota de contenido: Evolutionary Computation and Learning -- Multi-Objective Optimization-Based Task Offloading and Power Control for Mobile Edge Computing -- An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction -- An Improved Genetic Algorithm for Distributed Job Shop Scheduling Problem -- An improved teaching-learning-based optimization for multitask optimization problems -- Emotion Recognition from Facial Expressions Using a Genetic Algorithm to Feature Extraction -- An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems -- KGT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Genetic Algorithm for WK-recursive NoC Architecture -- Evolutionary Algorithms for Applications of Biological Networks: A Review -- Computational prediction of protein-protein interactions in plants using only sequence information -- Image and signal Processing -- A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism -- A Comparable Study on Dimensionality Reduction Methods for Endmember Extraction -- Hyperspectral image classification with locally linear embedding, 2D spatial filtering and SVM -- A Hierarchical Retrieval Method Based on Hash Table for Audio Fingerprinting -- Automatic extraction of document information based on OCR and image registration technology -- Using Simplified Slime Mould Algorithm for Wireless Sensor Network Coverage Problem -- Super-large medical image storage and display technology based on concentrated points of interest -- Person Re-Identification Based on Hash -- A robust and automatic recognition method of pointer instruments in power system -- Partial Distillation of Deep Feature for Unsupervised Image Anomaly Detection and Segmentation -- Speech Recognition Method For Home Service Robots Based On CLSTM-HMM Hybrid Acoustic Model -- Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification -- A Novel Decision Mechanism for Image Edge Detection -- Rapid Earthquake Assessment from Satellite Imagery using RPN and Yolo v3 -- Attention-based Deep Multi-Scale Network for Plant Leaf Recognition -- Information Security -- Short Video Users' Personal Privacy Leakage and Protection Measures -- An Efficient Video Steganography Method Based on HEVC 326 -- Analysis on the Application of Blockchain Technology in Ideological and Political Education in Universities -- Parallel Security Video Streaming in Cloud Server Environment -- An Efficient Video Steganography Scheme for Data Protection in H.265/HEVC -- A Robust Lossless Steganography Method Based on H.264/AVC -- Research on Application of Blockchain Technology in Higher Education in China -- Neural Networks -- Multi-Class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization -- Fault Diagnosis Based on Unsupervised Neural Network in Tennessee Eastman process -- Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry -- Alcoholism detection via 5-layer customized convolution neural network -- A heterogeneous 1D convolutional architecture for urban photovoltaic estimation -- Adversarial attacks and defenses in deep learning: A survey -- Pattern Recognition -- Fine-Grained Recognition of Crop Pests Based on Capsule Network with Attention Mechanism -- Small Object recognition based on the Generative Adversarial Network and Multi-Instance Learning -- Deep Learning Based Semantic Page Segmentation of Document Images in Chinese and English -- Non-central Student-t Mixture of Student-t Processes for Robust Regression and Prediction -- Multi-Class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features -- Plant Leaf Recognition Network Based on Fine-grained visual classification -- Anomaly Detection based on Video Prediction and Latent Space constraints -- A Robust Distance Regularized Potential Function for Level Set Image Segmentation -- Label Similarity Based Graph Network for Badminton Activity Recognition -- MITT: Musical Instrument Timbre Transfer based on the Multichannel Attention-Guided Mechanism -- Classification of benign-malignant pulmonary nodules based on multi-view improved dense network -- Deep Convolution Neural Network Based Research on Recognition of Mine Vehicle Head and Tail -- Compact Finite-State Super Transducers for Grapheme-to-Phoneme Conversion in Highly Inflected Languages -- Swarm Intelligence and Optimization -- An improved SMA algorithm for solving global optimization problems -- An Improved Chicken Swarm Optimization Algorithm with Fireworks Factor -- An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics -- Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates -- Hybrid whale optimization algorithm for solving green open vehicle routingproblem with time windows -- Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows -- Spatial prediction of stock opening price based on improved whale optimized twin support vector regression -- Channel Assignment Algorithm Based on Discrete BFO for Wireless Monitoring Networks -- A multi-objective particle swarm optimization algorithm embedded with maximum fitness function for dual-resources constrained flexible job shop scheduling -- An Improved Firefly Algorithm for Generalized Traveling Salesman Problem -- Virtual Reality and Human-Computer Interaction -- User study on an online-training system of activity in daily life for the visually impaired -- Person Property Estimation based on 2D LiDAR Data using Deep Neural Network -- Detection of Pointing Position by Omnidirectional Camera -- Optimization of Low-speed Dual Rotor Axial Flux Generator Design through Electromagnetic Modelling and Simulation -- A Lightweight Attention Fusion Module for Multi-Sensor 3-D Object Detection -- Regression-Aware Classification Feature for Pedestrian Detection and Tracking in Video Surveillance Systems -- Efficient Face Detector Using Spatial Attention Module in Real-time Application on an Edge Device -- Non-tactile Thumb Tip Measurement System for Encouraging Rehabilitation After Surgery -- Real-time Prediction of Future 3D Pose of Person using RGB-D camera for Personalized Services -- ROS2-based Distributed System Implementation for Logging Indoor Human Activities -- The Virtual Camera Path in 3D Animation. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Evolutionary Computation and Learning, Image and signal Processing, Information Security, Neural Networks, Pattern Recognition Swarm Intelligence and Optimization, and Virtual Reality and Human-Computer Interaction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part I [documento electrónico] / Huang, De-Shuang, ; Jo, Kang-Hyun, ; Li, Jianqiang, ; Gribova, Valeriya, ; Bevilacqua, Vitoantonio, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXXVI, 889 p. 462 ilustraciones, 337 ilustraciones en color.
ISBN : 978-3-030-84522-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de datos Aplicación informática en ciencias sociales y del comportamiento Aprendizaje automático Redes de comunicación informática Visión por computador Red informática IngenierÃa Informática Ciencias sociales IngenierÃa Informática y Redes Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 12836 y LNCS 12837 constituye, junto con el volumen LNAI 12838, las actas arbitradas de la 17.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2021, celebrada en Shenzhen, China, en agosto de 2021. Los 192 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: Computación y aprendizaje evolutivos, procesamiento de imágenes y señales, seguridad de la información, redes neuronales, optimización e inteligencia de enjambre de reconocimiento de patrones, y realidad virtual e interacción persona-computadora. Nota de contenido: Evolutionary Computation and Learning -- Multi-Objective Optimization-Based Task Offloading and Power Control for Mobile Edge Computing -- An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction -- An Improved Genetic Algorithm for Distributed Job Shop Scheduling Problem -- An improved teaching-learning-based optimization for multitask optimization problems -- Emotion Recognition from Facial Expressions Using a Genetic Algorithm to Feature Extraction -- An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems -- KGT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Genetic Algorithm for WK-recursive NoC Architecture -- Evolutionary Algorithms for Applications of Biological Networks: A Review -- Computational prediction of protein-protein interactions in plants using only sequence information -- Image and signal Processing -- A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism -- A Comparable Study on Dimensionality Reduction Methods for Endmember Extraction -- Hyperspectral image classification with locally linear embedding, 2D spatial filtering and SVM -- A Hierarchical Retrieval Method Based on Hash Table for Audio Fingerprinting -- Automatic extraction of document information based on OCR and image registration technology -- Using Simplified Slime Mould Algorithm for Wireless Sensor Network Coverage Problem -- Super-large medical image storage and display technology based on concentrated points of interest -- Person Re-Identification Based on Hash -- A robust and automatic recognition method of pointer instruments in power system -- Partial Distillation of Deep Feature for Unsupervised Image Anomaly Detection and Segmentation -- Speech Recognition Method For Home Service Robots Based On CLSTM-HMM Hybrid Acoustic Model -- Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification -- A Novel Decision Mechanism for Image Edge Detection -- Rapid Earthquake Assessment from Satellite Imagery using RPN and Yolo v3 -- Attention-based Deep Multi-Scale Network for Plant Leaf Recognition -- Information Security -- Short Video Users' Personal Privacy Leakage and Protection Measures -- An Efficient Video Steganography Method Based on HEVC 326 -- Analysis on the Application of Blockchain Technology in Ideological and Political Education in Universities -- Parallel Security Video Streaming in Cloud Server Environment -- An Efficient Video Steganography Scheme for Data Protection in H.265/HEVC -- A Robust Lossless Steganography Method Based on H.264/AVC -- Research on Application of Blockchain Technology in Higher Education in China -- Neural Networks -- Multi-Class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization -- Fault Diagnosis Based on Unsupervised Neural Network in Tennessee Eastman process -- Constraint Interpretable Double Parallel Neural Network and Its Applications in the Petroleum Industry -- Alcoholism detection via 5-layer customized convolution neural network -- A heterogeneous 1D convolutional architecture for urban photovoltaic estimation -- Adversarial attacks and defenses in deep learning: A survey -- Pattern Recognition -- Fine-Grained Recognition of Crop Pests Based on Capsule Network with Attention Mechanism -- Small Object recognition based on the Generative Adversarial Network and Multi-Instance Learning -- Deep Learning Based Semantic Page Segmentation of Document Images in Chinese and English -- Non-central Student-t Mixture of Student-t Processes for Robust Regression and Prediction -- Multi-Class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features -- Plant Leaf Recognition Network Based on Fine-grained visual classification -- Anomaly Detection based on Video Prediction and Latent Space constraints -- A Robust Distance Regularized Potential Function for Level Set Image Segmentation -- Label Similarity Based Graph Network for Badminton Activity Recognition -- MITT: Musical Instrument Timbre Transfer based on the Multichannel Attention-Guided Mechanism -- Classification of benign-malignant pulmonary nodules based on multi-view improved dense network -- Deep Convolution Neural Network Based Research on Recognition of Mine Vehicle Head and Tail -- Compact Finite-State Super Transducers for Grapheme-to-Phoneme Conversion in Highly Inflected Languages -- Swarm Intelligence and Optimization -- An improved SMA algorithm for solving global optimization problems -- An Improved Chicken Swarm Optimization Algorithm with Fireworks Factor -- An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics -- Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates -- Hybrid whale optimization algorithm for solving green open vehicle routingproblem with time windows -- Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows -- Spatial prediction of stock opening price based on improved whale optimized twin support vector regression -- Channel Assignment Algorithm Based on Discrete BFO for Wireless Monitoring Networks -- A multi-objective particle swarm optimization algorithm embedded with maximum fitness function for dual-resources constrained flexible job shop scheduling -- An Improved Firefly Algorithm for Generalized Traveling Salesman Problem -- Virtual Reality and Human-Computer Interaction -- User study on an online-training system of activity in daily life for the visually impaired -- Person Property Estimation based on 2D LiDAR Data using Deep Neural Network -- Detection of Pointing Position by Omnidirectional Camera -- Optimization of Low-speed Dual Rotor Axial Flux Generator Design through Electromagnetic Modelling and Simulation -- A Lightweight Attention Fusion Module for Multi-Sensor 3-D Object Detection -- Regression-Aware Classification Feature for Pedestrian Detection and Tracking in Video Surveillance Systems -- Efficient Face Detector Using Spatial Attention Module in Real-time Application on an Edge Device -- Non-tactile Thumb Tip Measurement System for Encouraging Rehabilitation After Surgery -- Real-time Prediction of Future 3D Pose of Person using RGB-D camera for Personalized Services -- ROS2-based Distributed System Implementation for Logging Indoor Human Activities -- The Virtual Camera Path in 3D Animation. Tipo de medio : Computadora Summary : This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." The papers are organized in the following subsections: Evolutionary Computation and Learning, Image and signal Processing, Information Security, Neural Networks, Pattern Recognition Swarm Intelligence and Optimization, and Virtual Reality and Human-Computer Interaction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] First International Conference, RTIP2R 2016, Bidar, India, December 16–17, 2016, Revised Selected Papers / Santosh, K. C. ; Hangarge, Mallikarjun ; Bevilacqua, Vitoantonio ; Negi, Atul
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TÃtulo : First International Conference, RTIP2R 2016, Bidar, India, December 16–17, 2016, Revised Selected Papers Tipo de documento: documento electrónico Autores: Santosh, K. C., ; Hangarge, Mallikarjun, ; Bevilacqua, Vitoantonio, ; Negi, Atul, Mención de edición: 1 ed. Editorial: Singapore [Malasya] : Springer Fecha de publicación: 2017 Número de páginas: XIV, 452 p. 223 ilustraciones ISBN/ISSN/DL: 978-981-10-4859-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de imágenes Visión por computador Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 6 Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Tendencias Recientes en Procesamiento de Imágenes y Reconocimiento de Patrones, RTIP2R 2016, celebrada en Bidar, Karnataka, India, en diciembre de 2016. Los 39 artÃculos completos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 99 presentaciones. . Los artÃculos están organizados en secciones temáticas sobre análisis de documentos; análisis de patrones y aprendizaje automático; análisis de imagen; análisis de imágenes biomédicas; biometrÃa. Nota de contenido: Document analysis -- Pattern analysis and machine learning -- Image analysis -- Biomedical image analysis -- Biometrics. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2016, held in Bidar, Karnataka, India, in December 2016. The 39 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on document analysis; pattern analysis and machine learning; image analysis; biomedical image analysis; biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] First International Conference, RTIP2R 2016, Bidar, India, December 16–17, 2016, Revised Selected Papers [documento electrónico] / Santosh, K. C., ; Hangarge, Mallikarjun, ; Bevilacqua, Vitoantonio, ; Negi, Atul, . - 1 ed. . - Singapore [Malasya] : Springer, 2017 . - XIV, 452 p. 223 ilustraciones.
ISBN : 978-981-10-4859-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de imágenes Visión por computador Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 6 Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Tendencias Recientes en Procesamiento de Imágenes y Reconocimiento de Patrones, RTIP2R 2016, celebrada en Bidar, Karnataka, India, en diciembre de 2016. Los 39 artÃculos completos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 99 presentaciones. . Los artÃculos están organizados en secciones temáticas sobre análisis de documentos; análisis de patrones y aprendizaje automático; análisis de imagen; análisis de imágenes biomédicas; biometrÃa. Nota de contenido: Document analysis -- Pattern analysis and machine learning -- Image analysis -- Biomedical image analysis -- Biometrics. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2016, held in Bidar, Karnataka, India, in December 2016. The 39 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on document analysis; pattern analysis and machine learning; image analysis; biomedical image analysis; biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Computing Theories and Application / Huang, De-Shuang ; Bevilacqua, Vitoantonio ; Premaratne, Prashan ; Gupta, Phalguni
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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 [...] Intelligent Computing Theories and Application / Huang, De-Shuang ; Bevilacqua, Vitoantonio ; Premaratne, Prashan ; Gupta, Phalguni
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