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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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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 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: 20962.00 р.
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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 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: 29209.00 р.
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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: 29209.00 р.
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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: 32004.00 р.
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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.

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: 24165.00 р.
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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).

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
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Цена: 6986.00 р.
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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: 13974.00 р.
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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.

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: 24948.00 р.
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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.

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: 1799821080 ISBN-13(EAN): 9781799821083
Издательство: Mare Nostrum (Eurospan)
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Цена: 32987.00 р.
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Описание: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process.

Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that 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 ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Intelligent Systems Technologies and Applications

Автор: Sabu M. Thampi; Sushmita Mitra; Jayanta Mukhopadhy
Название: Intelligent Systems Technologies and Applications
ISBN: 3319683845 ISBN-13(EAN): 9783319683843
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA`17), September 13-16, 2017, Manipal, Karnataka, India. This proceedings contains 34 papers selected for presentation at the Symposium.

Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications

Автор: Lughofer Edwin, Sayed-Mouchaweh Moamar
Название: Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
ISBN: 3030056449 ISBN-13(EAN): 9783030056445
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.

Advances in Intelligent Analysis of Medical Data and Decision Support Systems

Автор: Roumen Kountchev; Barna Iantovics
Название: Advances in Intelligent Analysis of Medical Data and Decision Support Systems
ISBN: 3319033751 ISBN-13(EAN): 9783319033754
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book presents new ideas and advances in medical informatics systems, including intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and for the global healthcare system.


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