000780358 000__ 04926cam\a2200517Ii\4500
000780358 001__ 780358
000780358 005__ 20230306143005.0
000780358 006__ m\\\\\o\\d\\\\\\\\
000780358 007__ cr\nn\nnnunnun
000780358 008__ 170324s2017\\\\sz\a\\\\o\\\\\000\0\eng\d
000780358 019__ $$a981893327$$a981994572$$a982009574$$a984846985
000780358 020__ $$a9783319531533$$q(electronic book)
000780358 020__ $$a3319531530$$q(electronic book)
000780358 020__ $$z9783319531526
000780358 020__ $$z3319531522
000780358 0247_ $$a10.1007/978-3-319-53153-3$$2doi
000780358 035__ $$aSP(OCoLC)ocn978347629
000780358 035__ $$aSP(OCoLC)978347629$$z(OCoLC)981893327$$z(OCoLC)981994572$$z(OCoLC)982009574$$z(OCoLC)984846985
000780358 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dNJR$$dOCLCF$$dIOG$$dAZU$$dUPM
000780358 049__ $$aISEA
000780358 050_4 $$aT58.62
000780358 08204 $$a658.4/03$$223
000780358 24500 $$aIntelligent decision support systems for sustainable computing :$$bparadigms and applications /$$cArun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng, editors.
000780358 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000780358 300__ $$a1 online resource (xvi, 289 pages) :$$billustrations.
000780358 336__ $$atext$$btxt$$2rdacontent
000780358 337__ $$acomputer$$bc$$2rdamedia
000780358 338__ $$aonline resource$$bcr$$2rdacarrier
000780358 347__ $$atext file$$bPDF$$2rda
000780358 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 705
000780358 5050_ $$aIntelligent Decision Support Systems for Sustainable Computing -- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems -- Efficiency in Energy Decision Support Systems using Soft Computing Techniques -- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things -- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning -- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing -- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System -- Differential Evolution Based Significant Data Region Identification on Large Storage Drives -- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand -- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm -- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks -- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard -- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF -- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques -- .
000780358 506__ $$aAccess limited to authorized users.
000780358 520__ $$aThis unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms. An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.
000780358 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 24, 2017).
000780358 650_0 $$aDecision support systems.
000780358 650_0 $$aComputational intelligence.
000780358 7001_ $$aSangaiah, Arun Kumar,$$d1981-$$eeditor.
000780358 7001_ $$aAbraham, Ajith,$$d1968-$$eeditor.
000780358 7001_ $$aSiarry, Patrick,$$eeditor.
000780358 7001_ $$aSheng, Michael,$$eeditor.
000780358 77608 $$iPrint version:$$z3319531522$$z9783319531526$$w(OCoLC)967574516
000780358 830_0 $$aStudies in computational intelligence ;$$vv. 705.
000780358 852__ $$bebk
000780358 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-53153-3$$zOnline Access$$91397441.1
000780358 909CO $$ooai:library.usi.edu:780358$$pGLOBAL_SET
000780358 980__ $$aEBOOK
000780358 980__ $$aBIB
000780358 982__ $$aEbook
000780358 983__ $$aOnline
000780358 994__ $$a92$$bISE