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Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications, Sangaiah Arun Kumar, Abraham Ajith, Siarry Patrick


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Ориентировочная дата поставки: Август-начало Сентября
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Автор: Sangaiah Arun Kumar, Abraham Ajith, Siarry Patrick
Название:  Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications
ISBN: 9783319850788
Издательство: Springer
Классификация:
ISBN-10: 3319850784
Обложка/Формат: Paperback
Страницы: 289
Вес: 0.44 кг.
Дата издания: 21.07.2018
Серия: Studies in computational intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 86 illustrations, color; 22 illustrations, black and white; xvi, 289 p. 108 illus., 86 illus. in color.
Размер: 23.39 x 15.60 x 1.65 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Paradigms and applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-



Intelligent Decision Support Systems: Applications in Signal Processing

Автор: Surekha Borra, Nilanjan Dey, Siddhartha Bhattacharyya, Mohamed Salim Bouhlel
Название: Intelligent Decision Support Systems: Applications in Signal Processing
ISBN: 3110618680 ISBN-13(EAN): 9783110618686
Издательство: Walter de Gruyter
Цена: 161100.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intelligent prediction and decision support systems? are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and ?include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).

Intelligent Decision Support Systems for Sustainable Computing

Автор: Arun Kumar Sangaiah; Ajith Abraham; Patrick Siarry
Название: Intelligent Decision Support Systems for Sustainable Computing
ISBN: 3319531522 ISBN-13(EAN): 9783319531526
Издательство: Springer
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Цена: 139750.00 T
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Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-


Intelligent Computing Applications for Sustainable Real-World Systems

Автор: Pandit, M
Название: Intelligent Computing Applications for Sustainable Real-World Systems
ISBN: 303044757X ISBN-13(EAN): 9783030447571
Издательство: Springer
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Цена: 279500.00 T
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Описание: This book delves into various solution paradigms such as artificial neural network, support vector machine, wavelet transforms, evolutionary computing, swarm intelligence.

Intelligent Distributed Computing, Systems and Applications

Автор: Costin Badica; Giuseppe Mangioni; Vincenza Carchio
Название: Intelligent Distributed Computing, Systems and Applications
ISBN: 3642098983 ISBN-13(EAN): 9783642098987
Издательство: Springer
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Цена: 194730.00 T
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Описание: This book represents the peer-reviewed proceedings of the Second International Symposium on Intelligent Distributed Computing - IDC 2008 held in Catania, Italy during September 18-19, 2008.

Intelligent Distributed Computing, Systems and Applications

Автор: Costin Badica; Giuseppe Mangioni; Vincenza Carchio
Название: Intelligent Distributed Computing, Systems and Applications
ISBN: 3540852565 ISBN-13(EAN): 9783540852568
Издательство: Springer
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Цена: 194730.00 T
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Описание: Represents the peer-reviewed proceedings of the Second International Symposium on Intelligent Distributed Computing - IDC 2008 held in Catania, Italy during September 18-19, 2008. This book addresses topics related to intelligent and distributed computing, systems and applications, including: argumentation; auctions; and, collaborative systems.

International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications

Автор: M. Sreenivasa Reddy; K. Viswanath; Shiva Prasad K.
Название: International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications
ISBN: 9811052719 ISBN-13(EAN): 9789811052712
Издательство: Springer
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Цена: 213360.00 T
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Описание: The book focuses on the state-of-the-art technologies pertaining to advances in soft computing, intelligent system and applications. Soft computing represents a collection of computational techniques inheriting inspiration from evolutionary algorithms, nature inspired algorithms, bio-inspired algorithms, neural networks and fuzzy logic.

Soft Computing Applications and Intelligent Systems

Автор: Shahrul Azman Noah; Siti Norul Huda Sheikh Abdulla
Название: Soft Computing Applications and Intelligent Systems
ISBN: 3642405665 ISBN-13(EAN): 9783642405662
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: M-CAIT 2013 hosted four special tracks in a single event: Intelligence Computation on Pattern Analysis and Robotics (ICPAIR 2013), Data Mining and Optimization (DMO 2013), Semantic Technology and Information Retrieval (STAIR 2013) and Industrial Computing & Applied Informatics (IComp 2013).

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

Автор: Tsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos
Название: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
ISBN: 3030156273 ISBN-13(EAN): 9783030156275
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

Автор: Tsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos
Название: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
ISBN: 3030156303 ISBN-13(EAN): 9783030156305
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
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Описание: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

Deep Learning Applications and Intelligent Decision Making in Engineering

Автор: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Название: Deep Learning Applications and Intelligent Decision Making in Engineering
ISBN: 1799821099 ISBN-13(EAN): 9781799821090
Издательство: Mare Nostrum (Eurospan)
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Цена: 166320.00 T
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Описание: Provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is designed for engineers, computer scientists, programmers, software engineers, researchers, academics, and students.

Advanced Intelligent Systems for Sustainable Development (Ai2sd`2019): Volume 4 - Advanced Intelligent Systems for Applied Computing Sciences

Автор: Ezziyyani Mostafa
Название: Advanced Intelligent Systems for Sustainable Development (Ai2sd`2019): Volume 4 - Advanced Intelligent Systems for Applied Computing Sciences
ISBN: 3030366731 ISBN-13(EAN): 9783030366735
Издательство: Springer
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Цена: 186330.00 T
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Описание: The book consists of fifty-two chapters, each of which shares the latest research in the fields of big data and data science, and describes use cases and applications of big data technologies in various domains, such as social networks and health care.


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