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Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications 1st ed. 2017 [Kõva köide]

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  • Formaat: Hardback, 289 pages, kõrgus x laius: 235x155 mm, kaal: 5856 g, 86 Illustrations, color; 22 Illustrations, black and white; XVI, 289 p. 108 illus., 86 illus. in color., 1 Hardback
  • Sari: Studies in Computational Intelligence 705
  • Ilmumisaeg: 23-Mar-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319531522
  • ISBN-13: 9783319531526
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  • Kõva köide
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  • Formaat: Hardback, 289 pages, kõrgus x laius: 235x155 mm, kaal: 5856 g, 86 Illustrations, color; 22 Illustrations, black and white; XVI, 289 p. 108 illus., 86 illus. in color., 1 Hardback
  • Sari: Studies in Computational Intelligence 705
  • Ilmumisaeg: 23-Mar-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319531522
  • ISBN-13: 9783319531526
Teised raamatud teemal:
This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective.





Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms.





The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms.





An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.
Intelligent Decision Support Systems for Sustainable Computing
1(6)
Aran Kumar Sangaiah
Ajith Abraham
Patrick Siarry
Michael Sheng
A Genetic Algorithm Based Efficient Static Load Distribution Strategy for Handling Large-Scale Workloads on Sustainable Computing Systems
7(26)
Xiaoli Wang
Bharadwaj Veeravalli
Efficiency in Energy Decision Support Systems Using Soft Computing Techniques
33(20)
Konstantinos Kokkinos
Elpiniki Papageorgiou
Vassilios Dafopoulos
Ioannis Adritsos
Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things
53(24)
Amandeep Verma
Sakshi Kaushal
Aran Kumar Sangaiah
Distributed Algorithm with Inherent Intelligence for Multi-cloud Resource Provisioning
77(24)
Seyed Ali Miraftabzadeh
Paul Rad
Mo Jamshidi
Parameter Optimization Methods Based on Computational Intelligence Techniques in Context of Sustainable Computing
101(14)
Pankaj Upadhyay
Jitender Kumar Chhabra
The Maximum Power Point Tracking Using Fuzzy Logic Algorithm for DC Motor Based Conveyor System
115(24)
Chitra Venugopal
Prabhakar Rontala Subramaniam
Differential Evolution Based Significant Data Region Identification on Large Storage Drives
139(26)
Nitesh K. Bharadwaj
Upasna Singh
A Fuzzy Based Power Switching Selection for Residential Application to Beat Peak Time Power Demand
165(14)
Chitra Venugopal
Prabhakar Rontala Subramaniam
Mathew Habyarimana
Energy Saving Using Memorization: A Novel Energy Efficient and Fault Tolerant Cluster Tree Algorithm for WSN
179(28)
S.S. Jaspal
Brijesh Kumar
Analyzing Slavic Textual Sentiment Using Deep Convolutional Neural Networks
207(18)
Leo Mrsic
Robert Kopal
Goran Klepac
Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard
225(22)
T. Padma
Shabir Ahmad Mir
S.P. Shantharajah
Analysis of Error Propagation in Safety Critical Software Systems: An Approach Based on UGF
247(16)
R. Selvarani
R. Bharathi
A Framework for Analyzing Uncertainty in Data Using Computational Intelligence Techniques
263(24)
M. Sujatha
G. Lavanya Devi
N. Naresh
Index 287