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Autor Lin, Jerry Chun-Wei |
Documentos disponibles escritos por este autor (8)
Crear una solicitud de compra Refinar búsquedaAdvances and Trends in Artificial Intelligence. Artificial Intelligence Practices / Fujita, Hamido ; Selamat, Ali ; Lin, Jerry Chun-Wei ; Ali, Moonis
TÃtulo : Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices : 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Fujita, Hamido, ; Selamat, Ali, ; Lin, Jerry Chun-Wei, ; Ali, Moonis, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XX, 636 p. 308 ilustraciones, 199 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-79457-6 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: Inteligencia artificial IngenierÃa Informática Red de computadoras IngenierÃa Informática y Redes Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 12798 y 12799 constituye las actas minuciosamente arbitradas de la 34.ª Conferencia Internacional sobre Aplicaciones Industriales, de IngenierÃa y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2021, celebrada virtualmente y en Kuala Lumpur, Malasia, en julio de 2021. Los 87 artÃculos completos y 19 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. La conferencia IEA/AIE 2021 continuará la tradición de hacer hincapié en las aplicaciones de sistemas inteligentes aplicados para resolver problemas de la vida real en todas las áreas. Estas áreas incluyen las siguientes: Parte I, Prácticas de inteligencia artificial: descubrimiento de conocimientos y minerÃa de patrones; inteligencia artificial y aprendizaje automático; modelos semáticos, topológicos y ontológicos; aplicaciones médicas y relacionadas con la salud; análisis gráfico y de redes sociales; procesamiento de señales y bioinformática; computación evolutiva; seguridad de ataque; lenguaje natural y procesamiento de textos; inferencia y teorÃa difusas; y redes de sensores y comunicaciones Parte II, De la teorÃa a la práctica: predicción y recomendación; gestión, agrupación y clasificación de datos; robótica; sistemas basados ​​en el conocimiento y de apoyo a las decisiones; aplicaciones multimedia; aplicaciones innovadoras de sistemas inteligentes; CPS y aplicaciones industriales; detección de defectos, anomalÃas e intrusiones; aplicaciones financieras y de cadena de suministro; redes bayesianas; BigData y procesamiento de series temporales; y recuperación de información y extracción de relaciones. Nota de contenido: Knowledge Discovery and Pattern Mining -- Fast Mining of Top-k Frequent Balanced Association Rules -- Towards Increasing Open Data Adoption through Stream Data Integration and Imputation -- Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases -- Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning -- Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases -- A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets -- Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency -- Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds -- Artificial Intelligence and Machine Learning -- Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing -- Comparison of Consolidation Methods for Predictive Learning of Time Series -- Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification -- Understanding the Effects of Mitigation on De-identified Data -- Combining Siamese Network and Correlation Filter for Complementary Object Tracking -- Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines -- Explainable Reinforcement Learning with the Tsetlin Machine -- Sematic, Topology, and Ontology Models -- Semantic Technologies towards Missing Values Imputation -- An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures -- Automatic Classification for Ontology Generation by Pretrained Language Model -- Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion -- Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning -- Collaborative Maintenance of EDOAL Alignments in VocBench -- DIKG2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms -- Ontology-based Resume Searching System for Job Applicants in Information Technology -- An Approach to Expressing Metamodels' Semantics in a Concept System -- Medical and Health-Related Applications -- Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications -- Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning -- Deep Forecasting of COVID-19: Canadian Case Study -- COVID-19 Genome Analysis using Alignment-Free Methods -- Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images -- Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach -- Graphic and Social Network Analysis -- Configuration model of employee competences in a social media team -- The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer -- WawPart: Workload-Aware Partitioning of Knowledge Graphs -- Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms -- Signal and Bioinformatic Processing -- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts -- Determining 2-Optimality Consensus for DNA structure -- Evolutionary Computation -- Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data -- Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance -- Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches -- Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms -- Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm -- Attack and Security -- Recent Research on Phishing Detection through Machine Learning Algorithm -- A Transaction Classification Model of Federated Learning -- On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks -- A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications -- Natural Language and Text Processing -- Hierarchical Transformer Encoders for Vietnamese Spelling Correction -- Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets -- Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering -- Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese -- Fuzzy Inference and Theory -- The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller -- Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach -- Sensor and Communication Networks -- Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms -- IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning. Tipo de medio : Computadora Summary : This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices : 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part I / [documento electrónico] / Fujita, Hamido, ; Selamat, Ali, ; Lin, Jerry Chun-Wei, ; Ali, Moonis, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 636 p. 308 ilustraciones, 199 ilustraciones en color.
ISBN : 978-3-030-79457-6
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: Inteligencia artificial IngenierÃa Informática Red de computadoras IngenierÃa Informática y Redes Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 12798 y 12799 constituye las actas minuciosamente arbitradas de la 34.ª Conferencia Internacional sobre Aplicaciones Industriales, de IngenierÃa y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2021, celebrada virtualmente y en Kuala Lumpur, Malasia, en julio de 2021. Los 87 artÃculos completos y 19 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. La conferencia IEA/AIE 2021 continuará la tradición de hacer hincapié en las aplicaciones de sistemas inteligentes aplicados para resolver problemas de la vida real en todas las áreas. Estas áreas incluyen las siguientes: Parte I, Prácticas de inteligencia artificial: descubrimiento de conocimientos y minerÃa de patrones; inteligencia artificial y aprendizaje automático; modelos semáticos, topológicos y ontológicos; aplicaciones médicas y relacionadas con la salud; análisis gráfico y de redes sociales; procesamiento de señales y bioinformática; computación evolutiva; seguridad de ataque; lenguaje natural y procesamiento de textos; inferencia y teorÃa difusas; y redes de sensores y comunicaciones Parte II, De la teorÃa a la práctica: predicción y recomendación; gestión, agrupación y clasificación de datos; robótica; sistemas basados ​​en el conocimiento y de apoyo a las decisiones; aplicaciones multimedia; aplicaciones innovadoras de sistemas inteligentes; CPS y aplicaciones industriales; detección de defectos, anomalÃas e intrusiones; aplicaciones financieras y de cadena de suministro; redes bayesianas; BigData y procesamiento de series temporales; y recuperación de información y extracción de relaciones. Nota de contenido: Knowledge Discovery and Pattern Mining -- Fast Mining of Top-k Frequent Balanced Association Rules -- Towards Increasing Open Data Adoption through Stream Data Integration and Imputation -- Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases -- Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning -- Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases -- A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets -- Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency -- Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds -- Artificial Intelligence and Machine Learning -- Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing -- Comparison of Consolidation Methods for Predictive Learning of Time Series -- Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification -- Understanding the Effects of Mitigation on De-identified Data -- Combining Siamese Network and Correlation Filter for Complementary Object Tracking -- Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines -- Explainable Reinforcement Learning with the Tsetlin Machine -- Sematic, Topology, and Ontology Models -- Semantic Technologies towards Missing Values Imputation -- An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures -- Automatic Classification for Ontology Generation by Pretrained Language Model -- Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion -- Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning -- Collaborative Maintenance of EDOAL Alignments in VocBench -- DIKG2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms -- Ontology-based Resume Searching System for Job Applicants in Information Technology -- An Approach to Expressing Metamodels' Semantics in a Concept System -- Medical and Health-Related Applications -- Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications -- Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning -- Deep Forecasting of COVID-19: Canadian Case Study -- COVID-19 Genome Analysis using Alignment-Free Methods -- Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images -- Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach -- Graphic and Social Network Analysis -- Configuration model of employee competences in a social media team -- The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer -- WawPart: Workload-Aware Partitioning of Knowledge Graphs -- Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms -- Signal and Bioinformatic Processing -- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts -- Determining 2-Optimality Consensus for DNA structure -- Evolutionary Computation -- Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data -- Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance -- Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches -- Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms -- Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm -- Attack and Security -- Recent Research on Phishing Detection through Machine Learning Algorithm -- A Transaction Classification Model of Federated Learning -- On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks -- A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications -- Natural Language and Text Processing -- Hierarchical Transformer Encoders for Vietnamese Spelling Correction -- Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets -- Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering -- Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese -- Fuzzy Inference and Theory -- The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller -- Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach -- Sensor and Communication Networks -- Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms -- IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning. Tipo de medio : Computadora Summary : This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances and Trends in Artificial Intelligence. From Theory to Practice : 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Fujita, Hamido, ; Selamat, Ali, ; Lin, Jerry Chun-Wei, ; Ali, Moonis, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XX, 640 p. 249 ilustraciones, 177 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-79463-7 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 IngenierÃa Informática Red de computadoras IngenierÃa Informática y Redes Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 12798 y 12799 constituye las actas minuciosamente arbitradas de la 34.ª Conferencia Internacional sobre Aplicaciones Industriales, de IngenierÃa y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2021, celebrada virtualmente y en Kuala Lumpur, Malasia, en julio de 2021. Los 87 artÃculos completos y 19 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. La conferencia IEA/AIE 2021 continuará la tradición de hacer hincapié en las aplicaciones de sistemas inteligentes aplicados para resolver problemas de la vida real en todas las áreas. Estas áreas incluyen las siguientes: Parte I, Prácticas de inteligencia artificial: descubrimiento de conocimientos y minerÃa de patrones; inteligencia artificial y aprendizaje automático; modelos semáticos, topológicos y ontológicos; aplicaciones médicas y relacionadas con la salud; análisis gráfico y de redes sociales; procesamiento de señales y bioinformática; computación evolutiva; seguridad de ataque; lenguaje natural y procesamiento de textos; inferencia y teorÃa difusas; y redes de sensores y comunicaciones Parte II, De la teorÃa a la práctica: predicción y recomendación; gestión, agrupación y clasificación de datos; robótica; sistemas basados ​​en el conocimiento y de apoyo a las decisiones; aplicaciones multimedia; aplicaciones innovadoras de sistemas inteligentes; CPS y aplicaciones industriales; detección de defectos, anomalÃas e intrusiones; aplicaciones financieras y de cadena de suministro; redes bayesianas; BigData y procesamiento de series temporales; y recuperación de información y extracción de relaciones. Nota de contenido: Prediction and Recommendation -- F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms -- A Novel Rule-based Online Judge Recommender System to Promote Computer Programming Education -- Using Machine Learning to Predict Salaries of Major League Baseball Players -- Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-based Denoising -- An Efficient Transformer-based Model for Vietnamese Punctuation Prediction -- Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh -- A Fusion Approach for Paper Submission Recommendation System -- One-class Classification Approach using Feature-slide Prediction Subtask for Feature Data -- Data Management, Clustering and Classification -- A Novel Approach for Enhancing Vietnamese Sentiment Classification -- Consistency Assessment of Datasets in the Context of a Problem Domain -- Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation -- A Novel Perspective of Text Classification by Prolog-based Deductive Databases -- Improving Human Emotion Recognition from Emotive Videos using Geometric Data Augmentation -- Applying Method of Automatic Classification Tools to Make Effective Organizing of Photos Taken in Childcare Facilities -- Land Use/Land Cover Change Analysis Due to Tourism in the Chittagong Hill Tracts of Bangladesh -- Robotics -- Estimation Method for Operational Environment Complexity by a Robotic Team -- A Cloud-based Robot Framework for Indoor Object Identification using Unsupervised Segmentation Technique and Convolution Neural Network (CNN) -- Knowledge Based and Decision Support Systems -- The Concept of Information Graphs as a Tool to Identify Vulnerabilities in the Information Map of an Organization -- A Learning-Automata Based Solution for Non-Equal Partitioning: Partitions with Common GCD Sizes -- Building a Knowledge Graph with Inference for a Production Machine Using the Web of Things Standard -- Open-World Knowledge Graph Completion Benchmarks for Knowledge Discovery -- A Case-based Reasoning Approach for a Decision Support System in Manufacturing -- Online Automatic Assessment System for Program Code: Architecture and Experiences -- A Multi-Criteria Group Decision Making Procedure Based on a Multi-Granular Linguistic Approach for Changeable Scenarios -- Multimedia Applications -- Edge Based Method for Kidney Segmentation in MRI Scans -- Using the HAAR Wavelet Transform and K-nearest Neighbour Algorithm to Improve ECG Detection and Classification of Arrhythmia -- Query by Humming for Song Identification using Voice Isolation -- IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images -- Advances in Sports Video Summarization – A Review based on Cricket Videos -- Augmented Audio Data in Improving Speech Emotion Classification Tasks -- Innovative Applications of Intelligent Systems -- Intelligent System of Mooring Planning based on Deep Q-learning -- Experimental Study on Predictive Modeling in the Gamification Marketing Application -- Pivot Point Based Intelligent System to Associate Creative Textual Artefacts -- Mood Support: A Personalized Intelligent Support Assignment System using an Agent-based Dynamic Configuration Model -- Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project -- Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice -- CPS and Industrial Applications -- Automated Diagnosis of Cyber-Physical Systems -- Quick Start And Adaptive New Server Monitor -- Map-matching based on HMM for Urban Traffic -- The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies -- On-demand Knowledge Graphs for Standards-based Power Grid Data Provisioning -- Defect, Anomaly and Intrusion Detection -- Intrusion Detection Algorithm Based On SDA-ELM -- Explaining Defect Detection with Saliency Maps -- d-BTAI:the Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems -- Identifying Anomaly Work in Intralogistics Using BLE and LPWA -- Financial and Supply Chain Applications -- Impact Analysis of Proactive and Reactive Inventory Disruption Management on Supply Chain Performance -- A ML-based Stock Trading Model for Profit Predication -- Machine Learning-Based Empirical Investigation For Credit Scoring In Vietnam's Banking -- Bayesian Networks -- Unsupervised Co-training of Bayesian Networks for Condition Prediction -- BigData and Time Series Processing -- Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-based Spark Platform -- Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series -- Information Retrieval and Relation Extraction -- Improving Relation Extraction via Joint Coding using BiLSTM and DCNN -- A Possible Worlds Interpretation of Many-Sorted Theory for IR. Tipo de medio : Computadora Summary : This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances and Trends in Artificial Intelligence. From Theory to Practice : 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part II / [documento electrónico] / Fujita, Hamido, ; Selamat, Ali, ; Lin, Jerry Chun-Wei, ; Ali, Moonis, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 640 p. 249 ilustraciones, 177 ilustraciones en color.
ISBN : 978-3-030-79463-7
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 IngenierÃa Informática Red de computadoras IngenierÃa Informática y Redes Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 12798 y 12799 constituye las actas minuciosamente arbitradas de la 34.ª Conferencia Internacional sobre Aplicaciones Industriales, de IngenierÃa y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2021, celebrada virtualmente y en Kuala Lumpur, Malasia, en julio de 2021. Los 87 artÃculos completos y 19 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. La conferencia IEA/AIE 2021 continuará la tradición de hacer hincapié en las aplicaciones de sistemas inteligentes aplicados para resolver problemas de la vida real en todas las áreas. Estas áreas incluyen las siguientes: Parte I, Prácticas de inteligencia artificial: descubrimiento de conocimientos y minerÃa de patrones; inteligencia artificial y aprendizaje automático; modelos semáticos, topológicos y ontológicos; aplicaciones médicas y relacionadas con la salud; análisis gráfico y de redes sociales; procesamiento de señales y bioinformática; computación evolutiva; seguridad de ataque; lenguaje natural y procesamiento de textos; inferencia y teorÃa difusas; y redes de sensores y comunicaciones Parte II, De la teorÃa a la práctica: predicción y recomendación; gestión, agrupación y clasificación de datos; robótica; sistemas basados ​​en el conocimiento y de apoyo a las decisiones; aplicaciones multimedia; aplicaciones innovadoras de sistemas inteligentes; CPS y aplicaciones industriales; detección de defectos, anomalÃas e intrusiones; aplicaciones financieras y de cadena de suministro; redes bayesianas; BigData y procesamiento de series temporales; y recuperación de información y extracción de relaciones. Nota de contenido: Prediction and Recommendation -- F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms -- A Novel Rule-based Online Judge Recommender System to Promote Computer Programming Education -- Using Machine Learning to Predict Salaries of Major League Baseball Players -- Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-based Denoising -- An Efficient Transformer-based Model for Vietnamese Punctuation Prediction -- Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh -- A Fusion Approach for Paper Submission Recommendation System -- One-class Classification Approach using Feature-slide Prediction Subtask for Feature Data -- Data Management, Clustering and Classification -- A Novel Approach for Enhancing Vietnamese Sentiment Classification -- Consistency Assessment of Datasets in the Context of a Problem Domain -- Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation -- A Novel Perspective of Text Classification by Prolog-based Deductive Databases -- Improving Human Emotion Recognition from Emotive Videos using Geometric Data Augmentation -- Applying Method of Automatic Classification Tools to Make Effective Organizing of Photos Taken in Childcare Facilities -- Land Use/Land Cover Change Analysis Due to Tourism in the Chittagong Hill Tracts of Bangladesh -- Robotics -- Estimation Method for Operational Environment Complexity by a Robotic Team -- A Cloud-based Robot Framework for Indoor Object Identification using Unsupervised Segmentation Technique and Convolution Neural Network (CNN) -- Knowledge Based and Decision Support Systems -- The Concept of Information Graphs as a Tool to Identify Vulnerabilities in the Information Map of an Organization -- A Learning-Automata Based Solution for Non-Equal Partitioning: Partitions with Common GCD Sizes -- Building a Knowledge Graph with Inference for a Production Machine Using the Web of Things Standard -- Open-World Knowledge Graph Completion Benchmarks for Knowledge Discovery -- A Case-based Reasoning Approach for a Decision Support System in Manufacturing -- Online Automatic Assessment System for Program Code: Architecture and Experiences -- A Multi-Criteria Group Decision Making Procedure Based on a Multi-Granular Linguistic Approach for Changeable Scenarios -- Multimedia Applications -- Edge Based Method for Kidney Segmentation in MRI Scans -- Using the HAAR Wavelet Transform and K-nearest Neighbour Algorithm to Improve ECG Detection and Classification of Arrhythmia -- Query by Humming for Song Identification using Voice Isolation -- IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images -- Advances in Sports Video Summarization – A Review based on Cricket Videos -- Augmented Audio Data in Improving Speech Emotion Classification Tasks -- Innovative Applications of Intelligent Systems -- Intelligent System of Mooring Planning based on Deep Q-learning -- Experimental Study on Predictive Modeling in the Gamification Marketing Application -- Pivot Point Based Intelligent System to Associate Creative Textual Artefacts -- Mood Support: A Personalized Intelligent Support Assignment System using an Agent-based Dynamic Configuration Model -- Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project -- Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice -- CPS and Industrial Applications -- Automated Diagnosis of Cyber-Physical Systems -- Quick Start And Adaptive New Server Monitor -- Map-matching based on HMM for Urban Traffic -- The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies -- On-demand Knowledge Graphs for Standards-based Power Grid Data Provisioning -- Defect, Anomaly and Intrusion Detection -- Intrusion Detection Algorithm Based On SDA-ELM -- Explaining Defect Detection with Saliency Maps -- d-BTAI:the Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems -- Identifying Anomaly Work in Intralogistics Using BLE and LPWA -- Financial and Supply Chain Applications -- Impact Analysis of Proactive and Reactive Inventory Disruption Management on Supply Chain Performance -- A ML-based Stock Trading Model for Profit Predication -- Machine Learning-Based Empirical Investigation For Credit Scoring In Vietnam's Banking -- Bayesian Networks -- Unsupervised Co-training of Bayesian Networks for Condition Prediction -- BigData and Time Series Processing -- Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-based Spark Platform -- Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series -- Information Retrieval and Relation Extraction -- Improving Relation Extraction via Joint Coding using BiLSTM and DCNN -- A Possible Worlds Interpretation of Many-Sorted Theory for IR. Tipo de medio : Computadora Summary : This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Big Data Analytics : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings Tipo de documento: documento electrónico Autores: Srirama, Satish Narayana, ; Lin, Jerry Chun-Wei, ; Bhatnagar, Raj, ; Agarwal, Sonali, ; Reddy, P. Krishna, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIII, 355 p. 164 ilustraciones, 134 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-93620-4 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 Inteligencia artificial IngenierÃa Informática Red de computadoras Software de la aplicacion Estructuras de datos (Informática) TeorÃa de la información MinerÃa de datos y descubrimiento de conocimientos IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Estructuras de datos y teorÃa de la información Clasificación: 6.312 Resumen: Este libro constituye las actas de la 8.ª Conferencia Internacional sobre Análisis de Big Data, BDA 2021, que tuvo lugar durante diciembre de 2021. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma virtual. Los 16 artÃculos completos y 3 artÃculos breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 41 presentaciones. Las contribuciones se organizaron en secciones temáticas denominadas de la siguiente manera: aplicaciones médicas y de salud; aprendizaje automático/profundo; IoT, sensores y redes; fundamento; minerÃa de patrones y análisis de datos. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Big Data Analytics : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings [documento electrónico] / Srirama, Satish Narayana, ; Lin, Jerry Chun-Wei, ; Bhatnagar, Raj, ; Agarwal, Sonali, ; Reddy, P. Krishna, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIII, 355 p. 164 ilustraciones, 134 ilustraciones en color.
ISBN : 978-3-030-93620-4
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 Inteligencia artificial IngenierÃa Informática Red de computadoras Software de la aplicacion Estructuras de datos (Informática) TeorÃa de la información MinerÃa de datos y descubrimiento de conocimientos IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Estructuras de datos y teorÃa de la información Clasificación: 6.312 Resumen: Este libro constituye las actas de la 8.ª Conferencia Internacional sobre Análisis de Big Data, BDA 2021, que tuvo lugar durante diciembre de 2021. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma virtual. Los 16 artÃculos completos y 3 artÃculos breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 41 presentaciones. Las contribuciones se organizaron en secciones temáticas denominadas de la siguiente manera: aplicaciones médicas y de salud; aprendizaje automático/profundo; IoT, sensores y redes; fundamento; minerÃa de patrones y análisis de datos. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances Tipo de documento: documento electrónico Autores: Chakraborty, Chinmay, ; Lin, Jerry Chun-Wei, ; Alazab, Mamoun, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: X, 383 p. 93 ilustraciones, 74 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-72139-8 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: Red de computadoras Procesamiento de datos Inteligencia artificial Sistemas de seguridad PolÃtica urbana Redes de comunicación informática MinerÃa de datos y descubrimiento de conocimientos Ciencia y tecnologÃa de seguridad Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro proporciona información sobre diseño de infraestructura basado en datos, enfoques analÃticos y soluciones tecnológicas con estudios de casos para ciudades inteligentes. Este libro tiene como objetivo atraer trabajos sobre investigación multidisciplinaria que abarque las ciencias de la computación y la ingenierÃa, estudios ambientales, servicios, planificación y desarrollo urbano, ciencias sociales e ingenierÃa industrial sobre tecnologÃas, estudios de casos, enfoques novedosos e ideas visionarias relacionadas con la innovación basada en datos. soluciones y aplicaciones basadas en big data para hacer frente a los desafÃos del mundo real para la construcción de ciudades inteligentes. Nota de contenido: 1. Smart City Ecosystem – An Introduction -- 2. Datafication for secured smart cities -- 3. Secured big data infrastructure services -- 4. Intelligent infrastructure of secured smart cities -- 5. Cyber-physical systems for secured smart cities -- 6. Blockchain for smart cities -- 7. Context-aware security and privacy of smart cities -- 7. Privacy and social Issues in smart cities -- 8. Sensor and RFID applications of smart cities -- 9. Advanced data mining for secured smart cities -- 10. Big data for secured smart cities -- 11. Data analytics tools and technologies for smart cities -- 12. Machine learning and AI for secured smart cities. Tipo de medio : Computadora Summary : This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances [documento electrónico] / Chakraborty, Chinmay, ; Lin, Jerry Chun-Wei, ; Alazab, Mamoun, . - 1 ed. . - [s.l.] : Springer, 2021 . - X, 383 p. 93 ilustraciones, 74 ilustraciones en color.
ISBN : 978-3-030-72139-8
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: Red de computadoras Procesamiento de datos Inteligencia artificial Sistemas de seguridad PolÃtica urbana Redes de comunicación informática MinerÃa de datos y descubrimiento de conocimientos Ciencia y tecnologÃa de seguridad Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro proporciona información sobre diseño de infraestructura basado en datos, enfoques analÃticos y soluciones tecnológicas con estudios de casos para ciudades inteligentes. Este libro tiene como objetivo atraer trabajos sobre investigación multidisciplinaria que abarque las ciencias de la computación y la ingenierÃa, estudios ambientales, servicios, planificación y desarrollo urbano, ciencias sociales e ingenierÃa industrial sobre tecnologÃas, estudios de casos, enfoques novedosos e ideas visionarias relacionadas con la innovación basada en datos. soluciones y aplicaciones basadas en big data para hacer frente a los desafÃos del mundo real para la construcción de ciudades inteligentes. Nota de contenido: 1. Smart City Ecosystem – An Introduction -- 2. Datafication for secured smart cities -- 3. Secured big data infrastructure services -- 4. Intelligent infrastructure of secured smart cities -- 5. Cyber-physical systems for secured smart cities -- 6. Blockchain for smart cities -- 7. Context-aware security and privacy of smart cities -- 7. Privacy and social Issues in smart cities -- 8. Sensor and RFID applications of smart cities -- 9. Advanced data mining for secured smart cities -- 10. Big data for secured smart cities -- 11. Data analytics tools and technologies for smart cities -- 12. Machine learning and AI for secured smart cities. Tipo de medio : Computadora Summary : This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Genetic and Evolutionary Computing : Proceedings of the Eleventh International Conference on Genetic and Evolutionary Computing, November 6-8, 2017, Kaohsiung, Taiwan Tipo de documento: documento electrónico Autores: Lin, Jerry Chun-Wei, ; Pan, Jeng-Shyang, ; Chu, Shu-Chuan, ; Chen, Chien-Ming, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2018 Número de páginas: XIII, 208 p. 80 ilustraciones ISBN/ISSN/DL: 978-981-10-6487-6 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: Inteligencia Computacional Procesamiento de datos Inteligencia artificial Procesamiento de la señal Visión por computador MinerÃa de datos y descubrimiento de conocimientos Procesamiento de señales voz e imágenes Clasificación: 006.3 Resumen: Este volumen de Avances en Computación y Sistemas Inteligentes destaca los artÃculos presentados en la 11.ª Conferencia Internacional sobre Computación Genética y Evolutiva (ICGEC 2017). Celebrada del 6 al 8 de noviembre de 2017 en Kaohsiung, Taiwán, la conferencia fue copatrocinada por Springer, la Universidad Tecnológica de Fujian en China, la Universidad Nacional de Kaohsiung, el Instituto de TecnologÃa de Harbin, la Universidad Nacional de Ciencias Aplicadas de Kaohsiung y la Universidad Técnica VÅ B. de Ostrava. La conferencia pretendÃa ser un foro internacional para investigadores y profesionales involucrados en todas las áreas de la computación genética, la computación inteligente, la computación evolutiva y en red. Tipo de medio : Computadora Summary : This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 11th International Conference on Genetic and Evolutionary Computing (ICGEC 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, National University of Kaohsiung, Harbin Institute of Technology, National Kaohsiung University of Applied Sciences, and VŠB -Technical University of Ostrava. The conference was intended as an international forum for researchers and professionals engaged in all areas of genetic computing, intelligent computing, evolutionary and grid computing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Genetic and Evolutionary Computing : Proceedings of the Eleventh International Conference on Genetic and Evolutionary Computing, November 6-8, 2017, Kaohsiung, Taiwan [documento electrónico] / Lin, Jerry Chun-Wei, ; Pan, Jeng-Shyang, ; Chu, Shu-Chuan, ; Chen, Chien-Ming, . - 1 ed. . - Singapore [Malasia] : Springer, 2018 . - XIII, 208 p. 80 ilustraciones.
ISBN : 978-981-10-6487-6
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: Inteligencia Computacional Procesamiento de datos Inteligencia artificial Procesamiento de la señal Visión por computador MinerÃa de datos y descubrimiento de conocimientos Procesamiento de señales voz e imágenes Clasificación: 006.3 Resumen: Este volumen de Avances en Computación y Sistemas Inteligentes destaca los artÃculos presentados en la 11.ª Conferencia Internacional sobre Computación Genética y Evolutiva (ICGEC 2017). Celebrada del 6 al 8 de noviembre de 2017 en Kaohsiung, Taiwán, la conferencia fue copatrocinada por Springer, la Universidad Tecnológica de Fujian en China, la Universidad Nacional de Kaohsiung, el Instituto de TecnologÃa de Harbin, la Universidad Nacional de Ciencias Aplicadas de Kaohsiung y la Universidad Técnica VÅ B. de Ostrava. La conferencia pretendÃa ser un foro internacional para investigadores y profesionales involucrados en todas las áreas de la computación genética, la computación inteligente, la computación evolutiva y en red. Tipo de medio : Computadora Summary : This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 11th International Conference on Genetic and Evolutionary Computing (ICGEC 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, National University of Kaohsiung, Harbin Institute of Technology, National Kaohsiung University of Applied Sciences, and VŠB -Technical University of Ostrava. The conference was intended as an international forum for researchers and professionals engaged in all areas of genetic computing, intelligent computing, evolutionary and grid computing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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