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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
Corporate Author: SpringerLink (Online service)
Other Authors: Sangaiah, Arun Kumar (Editor), Abraham, Ajith (Editor), Siarry, Patrick (Editor), Sheng, Michael (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Studies in Computational Intelligence, 705
Subjects:
Online Access:Full-text access
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
  • .