Información del autor
Autor Fujita, Hamido |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra Refinar búsqueda
Advances 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 [...] Advances and Trends in Artificial Intelligence. From Theory to Practice / Fujita, Hamido ; Selamat, Ali ; Lin, Jerry Chun-Wei ; Ali, Moonis
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 [...] Advances in Engineering Research and Application / Fujita, Hamido ; Nguyen, Duy Cuong ; Vu, Ngoc Pi ; Banh, Tien Long ; Puta, Hermann Horst
TÃtulo : Advances in Engineering Research and Application : Proceedings of the International Conference, ICERA 2018 Tipo de documento: documento electrónico Autores: Fujita, Hamido, ; Nguyen, Duy Cuong, ; Vu, Ngoc Pi, ; Banh, Tien Long, ; Puta, Hermann Horst, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XI, 603 p. 370 ilustraciones, 270 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-04792-4 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: Matemáticas de ingenierÃa IngenierÃa Inteligencia artificial Aplicaciones de ingenierÃa matemática y computacional Clasificación: 620 Ingeniería operaciones afines Resumen: La Conferencia Internacional sobre Investigación y Aplicaciones de IngenierÃa (ICERA 2018), que tuvo lugar en la Universidad Tecnológica de Thai Nguyen, Thai Nguyen, Vietnam, del 1 al 2 de diciembre de 2018, proporcionó un foro internacional para difundir información sobre las últimas teorÃas y prácticas en la investigación de ingenierÃa. y aplicaciones. La conferencia se centró en trabajos de investigación originales en áreas que incluyen IngenierÃa Mecánica, Materiales y Mecánica de Materiales, Mecatrónica y Micromecatrónica, IngenierÃa Automotriz, IngenierÃa Eléctrica y Electrónica, TecnologÃa de la Información y las Comunicaciones. Al difundir los últimos avances en el campo, las Actas de ICERA 2018, Avances en investigación y aplicación de ingenierÃa, ayudan tanto a académicos como a profesionales a remodelar su forma de pensar sobre el desarrollo sostenible. Tipo de medio : Computadora Summary : The International Conference on Engineering Research and Applications (ICERA 2018), which took place at Thai Nguyen University of Technology, Thai Nguyen, Vietnam on December 1–2, 2018, provided an international forum to disseminate information on latest theories and practices in engineering research and applications. The conference focused on original research work in areas including Mechanical Engineering, Materials and Mechanics of Materials, Mechatronics and Micro Mechatronics, Automotive Engineering, Electrical and Electronics Engineering, Information and Communication Technology. By disseminating the latest advances in the field, The Proceedings of ICERA 2018, Advances in Engineering Research and Application, helps academics and professionals alike to reshape their thinking on sustainable development. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Engineering Research and Application : Proceedings of the International Conference, ICERA 2018 [documento electrónico] / Fujita, Hamido, ; Nguyen, Duy Cuong, ; Vu, Ngoc Pi, ; Banh, Tien Long, ; Puta, Hermann Horst, . - 1 ed. . - [s.l.] : Springer, 2019 . - XI, 603 p. 370 ilustraciones, 270 ilustraciones en color.
ISBN : 978-3-030-04792-4
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: Matemáticas de ingenierÃa IngenierÃa Inteligencia artificial Aplicaciones de ingenierÃa matemática y computacional Clasificación: 620 Ingeniería operaciones afines Resumen: La Conferencia Internacional sobre Investigación y Aplicaciones de IngenierÃa (ICERA 2018), que tuvo lugar en la Universidad Tecnológica de Thai Nguyen, Thai Nguyen, Vietnam, del 1 al 2 de diciembre de 2018, proporcionó un foro internacional para difundir información sobre las últimas teorÃas y prácticas en la investigación de ingenierÃa. y aplicaciones. La conferencia se centró en trabajos de investigación originales en áreas que incluyen IngenierÃa Mecánica, Materiales y Mecánica de Materiales, Mecatrónica y Micromecatrónica, IngenierÃa Automotriz, IngenierÃa Eléctrica y Electrónica, TecnologÃa de la Información y las Comunicaciones. Al difundir los últimos avances en el campo, las Actas de ICERA 2018, Avances en investigación y aplicación de ingenierÃa, ayudan tanto a académicos como a profesionales a remodelar su forma de pensar sobre el desarrollo sostenible. Tipo de medio : Computadora Summary : The International Conference on Engineering Research and Applications (ICERA 2018), which took place at Thai Nguyen University of Technology, Thai Nguyen, Vietnam on December 1–2, 2018, provided an international forum to disseminate information on latest theories and practices in engineering research and applications. The conference focused on original research work in areas including Mechanical Engineering, Materials and Mechanics of Materials, Mechatronics and Micro Mechatronics, Automotive Engineering, Electrical and Electronics Engineering, Information and Communication Technology. By disseminating the latest advances in the field, The Proceedings of ICERA 2018, Advances in Engineering Research and Application, helps academics and professionals alike to reshape their thinking on sustainable development. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Big Data Analytics / Bellatreche, Ladjel ; Goyal, Vikram ; Fujita, Hamido ; Mondal, Anirban ; Reddy, P. Krishna
TÃtulo : Big Data Analytics : 8th International Conference, BDA 2020, Sonepat, India, December 15–18, 2020, Proceedings / Tipo de documento: documento electrónico Autores: Bellatreche, Ladjel, ; Goyal, Vikram, ; Fujita, Hamido, ; Mondal, Anirban, ; Reddy, P. Krishna, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIII, 345 p. 143 ilustraciones, 117 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-66665-1 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: Procesamiento de datos Procesamiento del lenguaje natural (Informática) TeorÃa de la codificación TeorÃa de la información Software de la aplicacion MinerÃa de datos y descubrimiento de conocimientos Procesamiento del lenguaje natural (PNL) TeorÃa de la codificación y la información Aplicaciones informáticas y de sistemas de información Computadoras y Educación Clasificación: 6.312 Resumen: Este libro constituye las actas de la 8.ª Conferencia Internacional sobre Análisis de Big Data, BDA 2020, que tuvo lugar del 15 al 18 de diciembre de 2020 en Sonepat, India. Los 11 artÃculos completos y 3 breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 48 presentaciones; El libro también contiene 4 artÃculos invitados y 3 artÃculos tutoriales. Las contribuciones se organizaron en secciones temáticas denominadas de la siguiente manera: sistemas de ciencia de datos; arquitecturas de ciencia de datos; análisis de big data en atención sanitaria; intercambio de información de recursos de datos web; y análisis de negocios. Nota de contenido: Data Science : Systems -- A Comparison of Data Science Systems -- Architectural Patterns for Integrating Data Lakes into Data Warehouse Architectures -- Study and Understanding the Significance of Multilayer ELM Feature Space -- Spectral Learning of Semantic Units in a Sentence Pair to Evaluate Semantic Textual Similarity -- Data Science : Architectures -- i-Fence: A Spatio-Temporal Context-Aware Geofencing Framework for Triggering Impulse Decisions -- Face Mask Detection using Transfer Learning of InceptionV3 -- Analysis of GPS trajectories mapping on shape files using spatial computing approaches -- Big Data Analytics in Healthcare -- A Transfer Learning Approach to Classify the Brain Age from MRI Images -- 'Precision Health': Balancing Reactive Care and Proactive Care through the Evidence Based Knowledge Graph Constructed from Real-World Electronic Health Records, Disease Trajectories, Diseasome, and Patholome -- Prediction for the Second Wave of COVID-19 in India -- Texture Feature Extraction: Impact of Variants on Performance of Machine Learning Classifiers: Study on Chest X-ray – Pneumonia Images -- Computer-Aided Diagnosis of Thyroid Dysfunction: A Survey -- Information Interchange of Web Data Resources -- Generic Key Value Extractions from Emails -- Next Generation Web: Technologies and Services -- Adversarial Collusion on the Web: State-of-the-art and Future Directions -- Comparing performance of classifiers applied to disaster detection in Twitter tweets: preliminary considerations -- Business Analytics -- Applying machine learning to anomaly detection in car insurance sales -- Authorship Identification using Stylometry and Document Fingerprinting Decisions -- A Revenue-based Product Placement Framework to Improve Diversity in Retail Businesses -- Recommending Question-Answers for enriching Textbooks -- OWI: Open-world Intent Identification framework for Dialog Based System. . Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2020, which took place during December 15-18, 2020, in Sonepat, India. The 11 full and 3 short papers included in this volume were carefully reviewed and selected from 48 submissions; the book also contains 4 invited and 3 tutorial papers. The contributions were organized in topical sections named as follows: data science systems; data science architectures; big data analytics in healthcare; information interchange of Web data resources; and business analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Big Data Analytics : 8th International Conference, BDA 2020, Sonepat, India, December 15–18, 2020, Proceedings / [documento electrónico] / Bellatreche, Ladjel, ; Goyal, Vikram, ; Fujita, Hamido, ; Mondal, Anirban, ; Reddy, P. Krishna, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIII, 345 p. 143 ilustraciones, 117 ilustraciones en color.
ISBN : 978-3-030-66665-1
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: Procesamiento de datos Procesamiento del lenguaje natural (Informática) TeorÃa de la codificación TeorÃa de la información Software de la aplicacion MinerÃa de datos y descubrimiento de conocimientos Procesamiento del lenguaje natural (PNL) TeorÃa de la codificación y la información Aplicaciones informáticas y de sistemas de información Computadoras y Educación Clasificación: 6.312 Resumen: Este libro constituye las actas de la 8.ª Conferencia Internacional sobre Análisis de Big Data, BDA 2020, que tuvo lugar del 15 al 18 de diciembre de 2020 en Sonepat, India. Los 11 artÃculos completos y 3 breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 48 presentaciones; El libro también contiene 4 artÃculos invitados y 3 artÃculos tutoriales. Las contribuciones se organizaron en secciones temáticas denominadas de la siguiente manera: sistemas de ciencia de datos; arquitecturas de ciencia de datos; análisis de big data en atención sanitaria; intercambio de información de recursos de datos web; y análisis de negocios. Nota de contenido: Data Science : Systems -- A Comparison of Data Science Systems -- Architectural Patterns for Integrating Data Lakes into Data Warehouse Architectures -- Study and Understanding the Significance of Multilayer ELM Feature Space -- Spectral Learning of Semantic Units in a Sentence Pair to Evaluate Semantic Textual Similarity -- Data Science : Architectures -- i-Fence: A Spatio-Temporal Context-Aware Geofencing Framework for Triggering Impulse Decisions -- Face Mask Detection using Transfer Learning of InceptionV3 -- Analysis of GPS trajectories mapping on shape files using spatial computing approaches -- Big Data Analytics in Healthcare -- A Transfer Learning Approach to Classify the Brain Age from MRI Images -- 'Precision Health': Balancing Reactive Care and Proactive Care through the Evidence Based Knowledge Graph Constructed from Real-World Electronic Health Records, Disease Trajectories, Diseasome, and Patholome -- Prediction for the Second Wave of COVID-19 in India -- Texture Feature Extraction: Impact of Variants on Performance of Machine Learning Classifiers: Study on Chest X-ray – Pneumonia Images -- Computer-Aided Diagnosis of Thyroid Dysfunction: A Survey -- Information Interchange of Web Data Resources -- Generic Key Value Extractions from Emails -- Next Generation Web: Technologies and Services -- Adversarial Collusion on the Web: State-of-the-art and Future Directions -- Comparing performance of classifiers applied to disaster detection in Twitter tweets: preliminary considerations -- Business Analytics -- Applying machine learning to anomaly detection in car insurance sales -- Authorship Identification using Stylometry and Document Fingerprinting Decisions -- A Revenue-based Product Placement Framework to Improve Diversity in Retail Businesses -- Recommending Question-Answers for enriching Textbooks -- OWI: Open-world Intent Identification framework for Dialog Based System. . Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2020, which took place during December 15-18, 2020, in Sonepat, India. The 11 full and 3 short papers included in this volume were carefully reviewed and selected from 48 submissions; the book also contains 4 invited and 3 tutorial papers. The contributions were organized in topical sections named as follows: data science systems; data science architectures; big data analytics in healthcare; information interchange of Web data resources; and business analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices / Fujita, Hamido ; Fournier-Viger, Philippe ; Ali, Moonis ; Sasaki, Jun
TÃtulo : Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings Tipo de documento: documento electrónico Autores: Fujita, Hamido, ; Fournier-Viger, Philippe, ; Ali, Moonis, ; Sasaki, Jun, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XVIII, 935 p. 423 ilustraciones, 272 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-55789-8 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: Inteligencia artificial Red de computadoras IngenierÃa Informática Procesamiento de imágenes Visión por computador Informática Protección de datos Redes de comunicación informática IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos Matemáticas de la Computación Seguridad de datos e información Clasificación: 006.3 Resumen: Este libro constituye las actas minuciosamente arbitradas de la 33.ª Conferencia Internacional sobre Aplicaciones Industriales, de IngenierÃa y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2020, celebrada en Kitakyushu, Japón, en septiembre de 2020. Los 62 artÃculos completos y 17 artÃculos breves presentados fueron cuidadosamente revisado y seleccionado entre 119 presentaciones. La conferencia IEA/AIE 2020 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 el procesamiento del lenguaje; robótica y drones; sistemas basados ​​en el conocimiento; aplicaciones innovadoras de sistemas inteligentes; aplicaciones industriales; aplicaciones de redes; análisis de redes sociales; aplicaciones financieras y blockchain; aplicaciones médicas y relacionadas con la salud; detección de anomalÃas y diagnóstico automatizado; sistemas de apoyo a las decisiones y basados ​​en agentes; aplicaciones multimedia; aprendizaje automático; gestión de datos y agrupación de datos; minerÃa de patrones; control del sistema, clasificación y diagnóstico de fallas. Nota de contenido: Natural Language Processing -- Robotics and Drones -- Knowledge Based Systems -- Innovative Applications of Intelligent Systems -- Industrial Applications -- Networking Applications -- Social Network Analysis -- Financial Applications and Blockchain -- Medical and Health-related Applications -- Anomaly Detection and Automated Diagnosis -- Decision-Support and Agent-Based Systems -- Multimedia Applications -- Machine Learning -- Data Management and Data Clustering -- Pattern Mining -- System Control, Classification, and Fault Diagnosis. Tipo de medio : Computadora Summary : This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings [documento electrónico] / Fujita, Hamido, ; Fournier-Viger, Philippe, ; Ali, Moonis, ; Sasaki, Jun, . - 1 ed. . - [s.l.] : Springer, 2020 . - XVIII, 935 p. 423 ilustraciones, 272 ilustraciones en color.
ISBN : 978-3-030-55789-8
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: Inteligencia artificial Red de computadoras IngenierÃa Informática Procesamiento de imágenes Visión por computador Informática Protección de datos Redes de comunicación informática IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos Matemáticas de la Computación Seguridad de datos e información Clasificación: 006.3 Resumen: Este libro constituye las actas minuciosamente arbitradas de la 33.ª Conferencia Internacional sobre Aplicaciones Industriales, de IngenierÃa y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2020, celebrada en Kitakyushu, Japón, en septiembre de 2020. Los 62 artÃculos completos y 17 artÃculos breves presentados fueron cuidadosamente revisado y seleccionado entre 119 presentaciones. La conferencia IEA/AIE 2020 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 el procesamiento del lenguaje; robótica y drones; sistemas basados ​​en el conocimiento; aplicaciones innovadoras de sistemas inteligentes; aplicaciones industriales; aplicaciones de redes; análisis de redes sociales; aplicaciones financieras y blockchain; aplicaciones médicas y relacionadas con la salud; detección de anomalÃas y diagnóstico automatizado; sistemas de apoyo a las decisiones y basados ​​en agentes; aplicaciones multimedia; aprendizaje automático; gestión de datos y agrupación de datos; minerÃa de patrones; control del sistema, clasificación y diagnóstico de fallas. Nota de contenido: Natural Language Processing -- Robotics and Drones -- Knowledge Based Systems -- Innovative Applications of Intelligent Systems -- Industrial Applications -- Networking Applications -- Social Network Analysis -- Financial Applications and Blockchain -- Medical and Health-related Applications -- Anomaly Detection and Automated Diagnosis -- Decision-Support and Agent-Based Systems -- Multimedia Applications -- Machine Learning -- Data Management and Data Clustering -- Pattern Mining -- System Control, Classification, and Fault Diagnosis. Tipo de medio : Computadora Summary : This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]