Intelligent Decision Support Systems for Sustainable Computing (Record no. 80629)

000 -LEADER
fixed length control field 05166nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-319-53153-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222317.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170314s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319531533
-- 978-3-319-53153-3
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Intelligent Decision Support Systems for Sustainable Computing
Sub Title Paradigms and Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 289 p. 108 illus., 86 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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 -- .
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Sangaiah, Arun Kumar.
700 1# - AUTHOR 2
Author 2 Abraham, Ajith.
700 1# - AUTHOR 2
Author 2 Siarry, Patrick.
700 1# - AUTHOR 2
Author 2 Sheng, Michael.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-53153-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
700 1# - AUTHOR 2
-- (orcid)0000-0002-0229-2460
-- https://orcid.org/0000-0002-0229-2460
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-- 1860-9503 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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