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2020 (18)

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Book
Subway energy-efficient management
Authors: ---
ISBN: 9811577854 9811577846 Year: 2020 Publisher: Springer Singapore

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Abstract

This book provides a comprehensive presentation on energy-efficient management in subway system via operations research and uncertain optimization methods. It is suitable for researchers, engineers, and students in the fields of transport management. The readers will learn numerous new modeling ideas on reducing traction energy consumption and improving regenerative energy utilization, and find this work a useful reference.


Book
2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)
Author:
ISBN: 1728168244 1728168236 Year: 2020 Publisher: Piscataway, NJ : IEEE,

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Book
Nature-inspired computation and swarm intelligence
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ISBN: 9780128226094 0128226099 0128197145 9780128197141 Year: 2020 Publisher: London Academic Press

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Nature-inspired computation and swarm intelligence : algorithms, theory and applications
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ISBN: 9780128226094 0128226099 9780128197141 0128197145 Year: 2020 Publisher: London Academic Press

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Subway Energy-Efficient Management
Authors: ---
ISBN: 9789811577857 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book provides a comprehensive presentation on energy-efficient management in subway system via operations research and uncertain optimization methods. It is suitable for researchers, engineers, and students in the fields of transport management. The readers will learn numerous new modeling ideas on reducing traction energy consumption and improving regenerative energy utilization, and find this work a useful reference.


Book
Nature-Inspired Computation in Data Mining and Machine Learning
Authors: ---
ISBN: 3030285537 3030285529 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.


Book
Nature-Inspired Computation in Navigation and Routing Problems : Algorithms, Methods and Applications
Authors: ---
ISBN: 9811518424 9811518416 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches. .


Book
Subway Energy-Efficient Management
Authors: --- ---
ISBN: 9789811577857 Year: 2020 Publisher: Singapore Springer Singapore :Imprint: Springer

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Nature-Inspired Computation in Navigation and Routing Problems : Algorithms, Methods and Applications
Authors: ---
ISBN: 9789811518423 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches. .


Multi
Nature-Inspired Computation in Data Mining and Machine Learning
Authors: ---
ISBN: 9783030285531 Year: 2020 Publisher: Cham Springer International Publishing

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Abstract

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

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