Título :	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.
Palabras clave:	Inteligencia artificial  Ingeniería Informática  Red de computadoras  Ingeniería Informática y Redes
Índice Dewey:	006.3 Inteligencia artificial
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 Ingeniería y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2021, celebrada virtualmente y en Kuala Lumpur, Malasia, en julio de 2021. Los 87 artículos completos y 19 artículos 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 minería 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 teoría difusas; y redes de sensores y comunicaciones Parte II, De la teoría 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, anomalías 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.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

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.

Palabras clave:	Inteligencia artificial  Ingeniería Informática  Red de computadoras  Ingeniería Informática y Redes
Índice Dewey:	006.3 Inteligencia artificial
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 Ingeniería y Otras Aplicaciones de Sistemas Inteligentes Aplicados, IEA/AIE 2021, celebrada virtualmente y en Kuala Lumpur, Malasia, en julio de 2021. Los 87 artículos completos y 19 artículos 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 minería 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 teoría difusas; y redes de sensores y comunicaciones Parte II, De la teoría 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, anomalías 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.
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i