Intelligent decision support systems for sustainable computing : paradigms and applications

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 p...

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Bibliographic Details
Other Authors Sangaiah, Arun Kumar, 1981- (Editor), Abraham, Ajith, 1968- (Editor), Siarry, Patrick (Editor), Sheng, Quan Z. (Editor)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesStudies in computational intelligence ; v. 705.
Subjects
Online AccessFull text
ISBN9783319531533
9783319531526
ISSN1860-949X ;
Physical Description1 online resource (xvi, 289 pages) : illustrations (some color)

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Table of Contents:
  • 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.