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Autor Selamat, Ali |
Documentos disponibles escritos por este autor (4)
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 : Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Nguyen, Ngoc Thanh, ; Jearanaitanakij, Kietikul, ; Selamat, Ali, ; TrawiÅ„ski, Bogdan, ; Chittayasothorn, Suphamit, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XLII, 652 p. 337 ilustraciones, 168 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-41964-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Red informática Inteligencia artificial Entornos informáticos Visión Inteligencia Computacional IngenierÃa Informática y Redes Redes de comunicación informática Ordenador Visión por computador IngenierÃa Informática Procesamiento de imágenes Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 12033 y 11034 constituye las actas arbitradas de la 12.ª Conferencia Asiática sobre Sistemas de Bases de Datos y Información Inteligentes, ACIIDS 2020, celebrada en Phuket, Tailandia, en marzo de 2020. El total de 105 artÃculos completos aceptados para su publicación en estas actas fueron cuidadosamente revisados ​​y seleccionados entre 285 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: IngenierÃa del conocimiento y web semántica, procesamiento del lenguaje natural, sistemas de control y soporte de decisiones, técnicas de visión por computadora, aprendizaje automático y minerÃa de datos, modelos de aprendizaje profundo, técnicas y aplicaciones avanzadas de minerÃa de datos. , Enfoque de modelos múltiples para el aprendizaje automático. Los artÃculos del segundo volumen se dividen en estas secciones temáticas: Aplicación de métodos inteligentes a problemas restringidos, Razonamiento automatizado con aplicaciones en sistemas inteligentes, Tendencias actuales en inteligencia artificial, Optimización, aprendizaje y toma de decisiones en bioinformática y bioingenierÃa, Informática. Visión y Sistemas Inteligentes, Modelado y Procesamiento de Datos para la Industria 4.0, Aplicaciones Inteligentes de Internet de las Cosas y Análisis de DatosTecnologÃas, Sistemas Inteligentes y Contextuales, Sistemas y Algoritmos Inteligentes en Ciencias de la Información, Cadenas de Suministro Inteligentes y Comercio Electrónico, Privacidad, Seguridad y Confianza en Inteligencia artificial, análisis interactivo de imágenes, vÃdeos y datos de movimiento en ciencias biológicas. Nota de contenido: Knowledge Engineering and Semantic Web -- Toward Blockchain-Assisted Gami ed Crowdsourcing for Knowledge Refinement -- Predicting research collaboration trends based on the similarity of publications and relationship of scientists -- Assessing the in uence of con ict pro le properties on the quality of consensus -- OWL RL to Framework for Ontological Knowledge Integration preliminary transformation -- Natural Language Processing -- Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding -- A Comparative Study of Pretrained Language Models on Thai Social Text Categorization -- Comparative Analysis of Deep Learning Models for Myanmar Text Classification -- Open Information Extraction as Additional Source for Kazakh Ontology Generation -- Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes -- Dyslexic Frequency Signatures in Relaxation and Letter Writing -- Decision Support and Control Systems -- A trading framework based on fuzzy Moore machines -- Fuzzy cation of repeatable trust game -- Online Auction and Optimal Stopping Game with Imperfect Observation -- Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data -- Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - a case study -- On stabilizability of discrete time systems with delay in control -- A Simple yet E cient MCSes Enumeration with SAT Oracles -- Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System -- Image Representation for Cognitive Systems using SOEKS and DDNA: A case study for PPE compliance -- Harmony Search Algorithm with Dynamic Adjustment of PAR Values for Asymmetric Traveling Salesman Problem -- Graph-based Optimization of Public Lighting Retro -- Solving the Unrelated Parallel Machine Scheduling Problem with Setups Using Late Acceptance Hill Climbing -- Computer Vision Techniques -- Study on Digital Image Evolution of Artwork by Using Bio-Inspired Approaches -- 3D Model-Based 6D Object Pose Tracking on RGB Images -- Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks -- GOHAG: GANs Orchestration for Human Actions Generation -- Machine Learning and Data Mining -- Improved Finger-vein Classification Using Granular Support Vector Machine -- Mining Non-redundant Periodic Frequent Patterns -- On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream -- Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers -- Confidence in prediction: an approach for dynamic weighted ensemble -- Towards personalized radio-chemotherapy (learning from clinical data vs. model optimization -- Inference Ability Assessment of Modi ed Differential Neural Computer -- Simple Quantum Circuits for Data Classifification -- A DCA based algorithm for Feature Selection in Model-Based Clustering -- PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks -- Deep Learning Models -- Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification -- An Enhanced CNN Model on Temporal Educational Data for Program-level Student Classification -- Ensemble of Multi-channel CNNs for Multi-Class Time-Series Classfication. Depth-Based Human Activity Recognition -- Post-training quantization methods for deep learning models -- Semi-supervised representation learning for 3D Point Clouds -- Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference -- Comparison of aggregation functions for 3D Point Clouds classification -- Benign and Malignant Skin Lesion Classifi cation Comparison for Three Deep-Learning Architectures -- Advanced Data Mining Techniques and Applications -- Automatic Parameter Setting in Hough Circle Transform -- Construction of an Intelligent Tennis Coach based on Kinect and a Sensor-based Tennis Racket -- Data Pre-Processing based on Convolutional Neural Network for Improving Precision of Indoor Positioning -- E cient Approaches for Updating Sequential Patterns -- Improving Accuracy of Peacock Identi cation in Deep Learning Model using Gaussian Mixture Model and Speeded Up Robust Features -- A Lifelong Sentiment Classifi cation Framework based on a Close Domain Lifelong Topic Modeling Method -- Multiple Model Approach to Machine Learning -- Data preprocessing for DES-KNN and its application to imbalanced medical data classification -- Novel approach to Gentle AdaBoost Algorithm with Linear Weak Classfiers -- Automatic Natural Image Colorization -- Remote Usability Testing of Data Input Methods for Web Applications -- Machine Learning Models For Real Estate Appraisal Constructed Using Spline Trend Functions -- Application of Intelligent Methods to Constrained Problems Configuration of employee competences in IT projects. Tipo de medio : Computadora Summary : The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part I / [documento electrónico] / Nguyen, Ngoc Thanh, ; Jearanaitanakij, Kietikul, ; Selamat, Ali, ; TrawiÅ„ski, Bogdan, ; Chittayasothorn, Suphamit, . - 1 ed. . - [s.l.] : Springer, 2020 . - XLII, 652 p. 337 ilustraciones, 168 ilustraciones en color.
ISBN : 978-3-030-41964-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Red informática Inteligencia artificial Entornos informáticos Visión Inteligencia Computacional IngenierÃa Informática y Redes Redes de comunicación informática Ordenador Visión por computador IngenierÃa Informática Procesamiento de imágenes Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 12033 y 11034 constituye las actas arbitradas de la 12.ª Conferencia Asiática sobre Sistemas de Bases de Datos y Información Inteligentes, ACIIDS 2020, celebrada en Phuket, Tailandia, en marzo de 2020. El total de 105 artÃculos completos aceptados para su publicación en estas actas fueron cuidadosamente revisados ​​y seleccionados entre 285 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: IngenierÃa del conocimiento y web semántica, procesamiento del lenguaje natural, sistemas de control y soporte de decisiones, técnicas de visión por computadora, aprendizaje automático y minerÃa de datos, modelos de aprendizaje profundo, técnicas y aplicaciones avanzadas de minerÃa de datos. , Enfoque de modelos múltiples para el aprendizaje automático. Los artÃculos del segundo volumen se dividen en estas secciones temáticas: Aplicación de métodos inteligentes a problemas restringidos, Razonamiento automatizado con aplicaciones en sistemas inteligentes, Tendencias actuales en inteligencia artificial, Optimización, aprendizaje y toma de decisiones en bioinformática y bioingenierÃa, Informática. Visión y Sistemas Inteligentes, Modelado y Procesamiento de Datos para la Industria 4.0, Aplicaciones Inteligentes de Internet de las Cosas y Análisis de DatosTecnologÃas, Sistemas Inteligentes y Contextuales, Sistemas y Algoritmos Inteligentes en Ciencias de la Información, Cadenas de Suministro Inteligentes y Comercio Electrónico, Privacidad, Seguridad y Confianza en Inteligencia artificial, análisis interactivo de imágenes, vÃdeos y datos de movimiento en ciencias biológicas. Nota de contenido: Knowledge Engineering and Semantic Web -- Toward Blockchain-Assisted Gami ed Crowdsourcing for Knowledge Refinement -- Predicting research collaboration trends based on the similarity of publications and relationship of scientists -- Assessing the in uence of con ict pro le properties on the quality of consensus -- OWL RL to Framework for Ontological Knowledge Integration preliminary transformation -- Natural Language Processing -- Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding -- A Comparative Study of Pretrained Language Models on Thai Social Text Categorization -- Comparative Analysis of Deep Learning Models for Myanmar Text Classification -- Open Information Extraction as Additional Source for Kazakh Ontology Generation -- Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes -- Dyslexic Frequency Signatures in Relaxation and Letter Writing -- Decision Support and Control Systems -- A trading framework based on fuzzy Moore machines -- Fuzzy cation of repeatable trust game -- Online Auction and Optimal Stopping Game with Imperfect Observation -- Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data -- Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - a case study -- On stabilizability of discrete time systems with delay in control -- A Simple yet E cient MCSes Enumeration with SAT Oracles -- Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System -- Image Representation for Cognitive Systems using SOEKS and DDNA: A case study for PPE compliance -- Harmony Search Algorithm with Dynamic Adjustment of PAR Values for Asymmetric Traveling Salesman Problem -- Graph-based Optimization of Public Lighting Retro -- Solving the Unrelated Parallel Machine Scheduling Problem with Setups Using Late Acceptance Hill Climbing -- Computer Vision Techniques -- Study on Digital Image Evolution of Artwork by Using Bio-Inspired Approaches -- 3D Model-Based 6D Object Pose Tracking on RGB Images -- Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks -- GOHAG: GANs Orchestration for Human Actions Generation -- Machine Learning and Data Mining -- Improved Finger-vein Classification Using Granular Support Vector Machine -- Mining Non-redundant Periodic Frequent Patterns -- On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream -- Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers -- Confidence in prediction: an approach for dynamic weighted ensemble -- Towards personalized radio-chemotherapy (learning from clinical data vs. model optimization -- Inference Ability Assessment of Modi ed Differential Neural Computer -- Simple Quantum Circuits for Data Classifification -- A DCA based algorithm for Feature Selection in Model-Based Clustering -- PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks -- Deep Learning Models -- Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification -- An Enhanced CNN Model on Temporal Educational Data for Program-level Student Classification -- Ensemble of Multi-channel CNNs for Multi-Class Time-Series Classfication. Depth-Based Human Activity Recognition -- Post-training quantization methods for deep learning models -- Semi-supervised representation learning for 3D Point Clouds -- Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference -- Comparison of aggregation functions for 3D Point Clouds classification -- Benign and Malignant Skin Lesion Classifi cation Comparison for Three Deep-Learning Architectures -- Advanced Data Mining Techniques and Applications -- Automatic Parameter Setting in Hough Circle Transform -- Construction of an Intelligent Tennis Coach based on Kinect and a Sensor-based Tennis Racket -- Data Pre-Processing based on Convolutional Neural Network for Improving Precision of Indoor Positioning -- E cient Approaches for Updating Sequential Patterns -- Improving Accuracy of Peacock Identi cation in Deep Learning Model using Gaussian Mixture Model and Speeded Up Robust Features -- A Lifelong Sentiment Classifi cation Framework based on a Close Domain Lifelong Topic Modeling Method -- Multiple Model Approach to Machine Learning -- Data preprocessing for DES-KNN and its application to imbalanced medical data classification -- Novel approach to Gentle AdaBoost Algorithm with Linear Weak Classfiers -- Automatic Natural Image Colorization -- Remote Usability Testing of Data Input Methods for Web Applications -- Machine Learning Models For Real Estate Appraisal Constructed Using Spline Trend Functions -- Application of Intelligent Methods to Constrained Problems Configuration of employee competences in IT projects. Tipo de medio : Computadora Summary : The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Nguyen, Ngoc Thanh, ; Jearanaitanakij, Kietikul, ; Selamat, Ali, ; TrawiÅ„ski, Bogdan, ; Chittayasothorn, Suphamit, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XLII, 606 p. 261 ilustraciones, 150 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-42058-1 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: Visión Inteligencia Computacional IngenierÃa Informática y Redes Redes de comunicación informática Inteligencia artificial Visión por computador Procesamiento de imágenes IngenierÃa Informática Red informática Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 12033 y 11034 constituye las actas arbitradas de la 12.ª Conferencia Asiática sobre Sistemas de Bases de Datos y Información Inteligentes, ACIIDS 2020, celebrada en Phuket, Tailandia, en marzo de 2020. El total de 105 artÃculos completos aceptados para su publicación en estas actas fueron cuidadosamente revisados ​​y seleccionados entre 285 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: IngenierÃa del conocimiento y web semántica, procesamiento del lenguaje natural, sistemas de control y soporte de decisiones, técnicas de visión por computadora, aprendizaje automático y minerÃa de datos, modelos de aprendizaje profundo, técnicas y aplicaciones avanzadas de minerÃa de datos. , Enfoque de modelos múltiples para el aprendizaje automático. Los artÃculos del segundo volumen se dividen en estas secciones temáticas: Aplicación de métodos inteligentes a problemas restringidos, Razonamiento automatizado con aplicaciones en sistemas inteligentes, Tendencias actuales en inteligencia artificial, Optimización, aprendizaje y toma de decisiones en bioinformática y bioingenierÃa, Informática. Visión y Sistemas Inteligentes, Modelado y Procesamiento de Datos para la Industria 4.0, Aplicaciones Inteligentes de Internet de las Cosas y Análisis de DatosTecnologÃas, Sistemas Inteligentes y Contextuales, Sistemas y Algoritmos Inteligentes en Ciencias de la Información, Cadenas de Suministro Inteligentes y Comercio Electrónico, Privacidad, Seguridad y Confianza en Inteligencia artificial, análisis interactivo de imágenes, vÃdeos y datos de movimiento en ciencias biológicas. Nota de contenido: Knowledge Engineering and Semantic Web -- Toward Blockchain-Assisted Gami ed Crowdsourcing for Knowledge Refinement -- Predicting research collaboration trends based on the similarity of publications and relationship of scientists -- Assessing the in uence of con ict pro le properties on the quality of consensus -- OWL RL to Framework for Ontological Knowledge Integration preliminary transformation -- Natural Language Processing -- Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding -- A Comparative Study of Pretrained Language Models on Thai Social Text Categorization -- Comparative Analysis of Deep Learning Models for Myanmar Text Classification -- Open Information Extraction as Additional Source for Kazakh Ontology Generation -- Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes -- Dyslexic Frequency Signatures in Relaxation and Letter Writing -- Decision Support and Control Systems -- A trading framework based on fuzzy Moore machines -- Fuzzy cation of repeatable trust game -- Online Auction and Optimal Stopping Game with Imperfect Observation -- Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data -- Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - a case study -- On stabilizability of discrete time systems with delay in control -- A Simple yet E cient MCSes Enumeration with SAT Oracles -- Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System -- Image Representation for Cognitive Systems using SOEKS and DDNA: A case study for PPE compliance -- Harmony Search Algorithm with Dynamic Adjustment of PAR Values for Asymmetric Traveling Salesman Problem -- Graph-based Optimization of Public Lighting Retro -- Solving the Unrelated Parallel Machine Scheduling Problem with Setups Using Late Acceptance Hill Climbing -- Computer Vision Techniques -- Study on Digital Image Evolution of Artwork by Using Bio-Inspired Approaches -- 3D Model-Based 6D Object Pose Tracking on RGB Images -- Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks -- GOHAG: GANs Orchestration for Human Actions Generation -- Machine Learning and Data Mining -- Improved Finger-vein Classification Using Granular Support Vector Machine -- Mining Non-redundant Periodic Frequent Patterns -- On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream -- Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers -- Confidence in prediction: an approach for dynamic weighted ensemble -- Towards personalized radio-chemotherapy (learning from clinical data vs. model optimization -- Inference Ability Assessment of Modi ed Differential Neural Computer -- Simple Quantum Circuits for Data Classifification -- A DCA based algorithm for Feature Selection in Model-Based Clustering -- PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks -- Deep Learning Models -- Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification -- An Enhanced CNN Model on Temporal Educational Data for Program-level Student Classification -- Ensemble of Multi-channel CNNs for Multi-Class Time-Series Classfication. Depth-Based Human Activity Recognition -- Post-training quantization methods for deep learning models -- Semi-supervised representation learning for 3D Point Clouds -- Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference -- Comparison of aggregation functions for 3D Point Clouds classification -- Benign and Malignant Skin Lesion Classifi cation Comparison for Three Deep-Learning Architectures -- Advanced Data Mining Techniques and Applications -- Automatic Parameter Setting in Hough Circle Transform -- Construction of an Intelligent Tennis Coach based on Kinect and a Sensor-based Tennis Racket -- Data Pre-Processing based on Convolutional Neural Network for Improving Precision of Indoor Positioning -- E cient Approaches for Updating Sequential Patterns -- Improving Accuracy of Peacock Identi cation in Deep Learning Model using Gaussian Mixture Model and Speeded Up Robust Features -- A Lifelong Sentiment Classifi cation Framework based on a Close Domain Lifelong Topic Modeling Method -- Multiple Model Approach to Machine Learning -- Data preprocessing for DES-KNN and its application to imbalanced medical data classification -- Novel approach to Gentle AdaBoost Algorithm with Linear Weak Classfiers -- Automatic Natural Image Colorization -- Remote Usability Testing of Data Input Methods for Web Applications -- Machine Learning Models For Real Estate Appraisal Constructed Using Spline Trend Functions -- Application of Intelligent Methods to Constrained Problems Configuration of employee competences in IT projects. . Tipo de medio : Computadora Summary : The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part II / [documento electrónico] / Nguyen, Ngoc Thanh, ; Jearanaitanakij, Kietikul, ; Selamat, Ali, ; TrawiÅ„ski, Bogdan, ; Chittayasothorn, Suphamit, . - 1 ed. . - [s.l.] : Springer, 2020 . - XLII, 606 p. 261 ilustraciones, 150 ilustraciones en color.
ISBN : 978-3-030-42058-1
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Idioma : Inglés (eng)
Palabras clave: Visión Inteligencia Computacional IngenierÃa Informática y Redes Redes de comunicación informática Inteligencia artificial Visión por computador Procesamiento de imágenes IngenierÃa Informática Red informática Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 12033 y 11034 constituye las actas arbitradas de la 12.ª Conferencia Asiática sobre Sistemas de Bases de Datos y Información Inteligentes, ACIIDS 2020, celebrada en Phuket, Tailandia, en marzo de 2020. El total de 105 artÃculos completos aceptados para su publicación en estas actas fueron cuidadosamente revisados ​​y seleccionados entre 285 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: IngenierÃa del conocimiento y web semántica, procesamiento del lenguaje natural, sistemas de control y soporte de decisiones, técnicas de visión por computadora, aprendizaje automático y minerÃa de datos, modelos de aprendizaje profundo, técnicas y aplicaciones avanzadas de minerÃa de datos. , Enfoque de modelos múltiples para el aprendizaje automático. Los artÃculos del segundo volumen se dividen en estas secciones temáticas: Aplicación de métodos inteligentes a problemas restringidos, Razonamiento automatizado con aplicaciones en sistemas inteligentes, Tendencias actuales en inteligencia artificial, Optimización, aprendizaje y toma de decisiones en bioinformática y bioingenierÃa, Informática. Visión y Sistemas Inteligentes, Modelado y Procesamiento de Datos para la Industria 4.0, Aplicaciones Inteligentes de Internet de las Cosas y Análisis de DatosTecnologÃas, Sistemas Inteligentes y Contextuales, Sistemas y Algoritmos Inteligentes en Ciencias de la Información, Cadenas de Suministro Inteligentes y Comercio Electrónico, Privacidad, Seguridad y Confianza en Inteligencia artificial, análisis interactivo de imágenes, vÃdeos y datos de movimiento en ciencias biológicas. Nota de contenido: Knowledge Engineering and Semantic Web -- Toward Blockchain-Assisted Gami ed Crowdsourcing for Knowledge Refinement -- Predicting research collaboration trends based on the similarity of publications and relationship of scientists -- Assessing the in uence of con ict pro le properties on the quality of consensus -- OWL RL to Framework for Ontological Knowledge Integration preliminary transformation -- Natural Language Processing -- Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding -- A Comparative Study of Pretrained Language Models on Thai Social Text Categorization -- Comparative Analysis of Deep Learning Models for Myanmar Text Classification -- Open Information Extraction as Additional Source for Kazakh Ontology Generation -- Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes -- Dyslexic Frequency Signatures in Relaxation and Letter Writing -- Decision Support and Control Systems -- A trading framework based on fuzzy Moore machines -- Fuzzy cation of repeatable trust game -- Online Auction and Optimal Stopping Game with Imperfect Observation -- Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data -- Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - a case study -- On stabilizability of discrete time systems with delay in control -- A Simple yet E cient MCSes Enumeration with SAT Oracles -- Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System -- Image Representation for Cognitive Systems using SOEKS and DDNA: A case study for PPE compliance -- Harmony Search Algorithm with Dynamic Adjustment of PAR Values for Asymmetric Traveling Salesman Problem -- Graph-based Optimization of Public Lighting Retro -- Solving the Unrelated Parallel Machine Scheduling Problem with Setups Using Late Acceptance Hill Climbing -- Computer Vision Techniques -- Study on Digital Image Evolution of Artwork by Using Bio-Inspired Approaches -- 3D Model-Based 6D Object Pose Tracking on RGB Images -- Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks -- GOHAG: GANs Orchestration for Human Actions Generation -- Machine Learning and Data Mining -- Improved Finger-vein Classification Using Granular Support Vector Machine -- Mining Non-redundant Periodic Frequent Patterns -- On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream -- Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers -- Confidence in prediction: an approach for dynamic weighted ensemble -- Towards personalized radio-chemotherapy (learning from clinical data vs. model optimization -- Inference Ability Assessment of Modi ed Differential Neural Computer -- Simple Quantum Circuits for Data Classifification -- A DCA based algorithm for Feature Selection in Model-Based Clustering -- PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks -- Deep Learning Models -- Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification -- An Enhanced CNN Model on Temporal Educational Data for Program-level Student Classification -- Ensemble of Multi-channel CNNs for Multi-Class Time-Series Classfication. Depth-Based Human Activity Recognition -- Post-training quantization methods for deep learning models -- Semi-supervised representation learning for 3D Point Clouds -- Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference -- Comparison of aggregation functions for 3D Point Clouds classification -- Benign and Malignant Skin Lesion Classifi cation Comparison for Three Deep-Learning Architectures -- Advanced Data Mining Techniques and Applications -- Automatic Parameter Setting in Hough Circle Transform -- Construction of an Intelligent Tennis Coach based on Kinect and a Sensor-based Tennis Racket -- Data Pre-Processing based on Convolutional Neural Network for Improving Precision of Indoor Positioning -- E cient Approaches for Updating Sequential Patterns -- Improving Accuracy of Peacock Identi cation in Deep Learning Model using Gaussian Mixture Model and Speeded Up Robust Features -- A Lifelong Sentiment Classifi cation Framework based on a Close Domain Lifelong Topic Modeling Method -- Multiple Model Approach to Machine Learning -- Data preprocessing for DES-KNN and its application to imbalanced medical data classification -- Novel approach to Gentle AdaBoost Algorithm with Linear Weak Classfiers -- Automatic Natural Image Colorization -- Remote Usability Testing of Data Input Methods for Web Applications -- Machine Learning Models For Real Estate Appraisal Constructed Using Spline Trend Functions -- Application of Intelligent Methods to Constrained Problems Configuration of employee competences in IT projects. . Tipo de medio : Computadora Summary : The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
