Application of Intelligent Systems in Multi-Modal Information Analytics: Proceedings of the 2020 International Conference on Multi-Model Information A, Sugumaran Vijayan, Xu Zheng, Zhou Huiyu
Описание: This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18-19, 2020.
Описание: This volume constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. industry applications of intelligent methods and systems; recommendation and user centric applications of intelligent systems.
Описание: 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
Описание: 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
Описание: This book constitutes the refereed proceedings of the 11th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2020, held in Hangzhou, China, in July 2020. The 24 full papers and 5 short papers presented were carefully reviewed and selected from 36 submissions. and computer vision and image understanding.
Описание: The papers are grouped in topical sections on world wide web, recommendation, query processing and algorithm, natural language processing, machine learning, graph query, edge computing and data mining, data privacy and security, and blockchain.
Описание: This book presents the proceedings of the 2019 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Shenyang, China on February 19-20, 2019. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics: AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and provides a useful reference guide for newcomers to the field.
Описание: This book constitutes the proceedings of the 19th International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2020, held in Bialystok, Poland, in October 2020.
Описание: The chapter "An Efficient Index for Reachability Queries in Public Transport Networks" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Автор: Soham Sarkar, Abhishek Basu, Siddhartha Bhattachar Название: Intelligent multi-modal data processing / ISBN: 1119571383 ISBN-13(EAN): 9781119571384 Издательство: Wiley Рейтинг: Цена: 17416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A comprehensive review of the most recent applications of intelligent multi-modal data processing
Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors - noted experts on the topic - offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices.
Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book:
Includes an in-depth analysis of the state-of-the-art applications of signal and data processing
Contains contributions from noted experts in the field
Offers information on hybrid differential evolution for optimal multilevel image thresholding
Presents a fuzzy decision based multi-objective evolutionary method for video summarisation
Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.
Описание: This three-volume set of books highlights major advances in the development of concepts and techniques in the area of new technologies and architectures of contemporary information systems. Further, it helps readers solve specific research and analytical problems and glean useful knowledge and business value from the data. Each chapter provides an analysis of a specific technical problem, followed by a numerical analysis, simulation and implementation of the solution to the real-life problem. Managing an organisation, especially in today’s rapidly changing circumstances, is a very complex process. Increased competition in the marketplace, especially as a result of the massive and successful entry of foreign businesses into domestic markets, changes in consumer behaviour, and broader access to new technologies and information, calls for organisational restructuring and the introduction and modification of management methods using the latest advances in science. This situation has prompted many decision-making bodies to introduce computer modelling of organisation management systems. The three books present the peer-reviewed proceedings of the 39th International Conference “Information Systems Architecture and Technology” (ISAT), held on September 16–18, 2018 in Nysa, Poland. The conference was organised by the Computer Science and Management Systems Departments, Faculty of Computer Science and Management, Wroclaw University of Technology and Sciences and University of Applied Sciences in Nysa, Poland. The papers have been grouped into three major parts: Part I—discusses topics including but not limited to Artificial Intelligence Methods, Knowledge Discovery and Data Mining, Big Data, Knowledge Based Management, Internet of Things, Cloud Computing and High Performance Computing, Distributed Computer Systems, Content Delivery Networks, and Service Oriented Computing. Part II—addresses topics including but not limited to System Modelling for Control, Recognition and Decision Support, Mathematical Modelling in Computer System Design, Service Oriented Systems and Cloud Computing, and Complex Process Modelling. Part III—focuses on topics including but not limited to Knowledge Based Management, Modelling of Financial and Investment Decisions, Modelling of Managerial Decisions, Production Systems Management and Maintenance, Risk Management, Small Business Management, and Theories and Models of Innovation.
Описание: This three-volume book highlights significant advances in the development of new information systems technologies and architectures. Further, it helps readers solve specific research and analytical problems and glean useful knowledge and business value from data. Each chapter provides an analysis of a specific technical problem, followed by a numerical analysis, simulation, and implementation of the solution to the real-world problem.Managing an organization, especially in today’s rapidly changing environment, is a highly complex process. Increased competition in the marketplace, especially as a result of the massive and successful entry of foreign businesses into domestic markets, changes in consumer behaviour, and broader access to new technologies and information, calls for organisational restructuring and the introduction and modification of management methods using the latest scientific advances. This situation has prompted various decision-making bodies to introduce computer modelling of organization management systems.This book presents the peer-reviewed proceedings of the 40th Anniversary International Conference “Information Systems Architecture and Technology” (ISAT), held on September 15–17, 2019, in Wroc?aw, Poland. The conference was organised by the Computer Science Department, Faculty of Computer Science and Management, Wroclaw University of Sciences and Technology, and University of Applied Sciences in Nysa, Poland. The papers have been grouped into three major sections:Part I—discusses topics including, but not limited to, artificial intelligence methods, knowledge discovery and data mining, big data, knowledge-based management, Internet of Things, cloud computing and high-performance computing, distributed computer systems, content delivery networks, and service-oriented computing.Part II—addresses various topics, such as system modelling for control, recognition and decision support, mathematical modelling in computer system design, service-oriented systems, and cloud computing, and complex process modelling.Part III—focuses on a number of themes, like knowledge-based management, modelling of financial and investment decisions, modelling of managerial decisions, production systems management, and maintenance, risk management, small business management, and theories and models of innovation.
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