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 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: This book gathers papers presented in the main track of IITI 2019, the Fourth International Scientific Conference on Intelligent Information Technologies for Industry, held in Ostrava-Prague, Czech Republic on December 2-7, 2019.
Описание: This book constitutes the refereed proceedings of the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, held in Grenoble, France, in June 2020.*The 33 full papers presented in this volume were carefully reviewed and selected from 185 submissions.
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.
Описание: The papers are centered around topics like architectures and quality of information systems, artificial intelligence in information systems, data and knowledge engineering, enterprise and information systems engineering, security of information systems. *The conference was held virtully due to the COVID-19 pandemic.
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 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 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: 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 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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
