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008			170324s2017 sz a o 000 0 eng d
020			_a3319531530 _q(electronic bk.)
020			_a9783319531533 _q(electronic bk.)
020			_z3319531522
020			_z9783319531526 _q(print)
040			_aGW5XE _cGW5XE _dYDX _dNJR _dOCLCF _dIOG _dAZU _dUPM _dMERER _dESU _dOCLCQ _dJBG _dIAD _dICW _dIAD _dICN _dVT2 _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aT58.62 _bI584 2017 EB
245	0	0	_aIntelligent decision support systems for sustainable computing : _bparadigms and applications _cArun Kumar Sangaiah, Ajith Abraham, Patrick Siarry, Michael Sheng, editors.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea (xvi, 289 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aStudies in computational intelligence _x1860-949X _vvolume 705
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
505	0		_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.
520	3		_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.
650		7	_aInteligencia artificial _2embne _0(OCoLC)fst00871995 _0 _9413115
700	1		_aAbraham, Ajith _d1968- _eeditor literario _945309
700	1		_aSangaiah, Arun Kumar, _d1981- _eeditor literario
700	1		_aSheng, Quan Z., _eeditor literario
700	1		_aSiarry, Patrick, _eeditor literario _9101690
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-53153-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95636 _d95636 _x1