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020			_a9783030802165
024	7		_a10.1007/978-3-030-80216-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aT59.6 _b2021 EB
245	1	0	_aInternational Conference on Emerging Applications and Technologies for Industry 4.0 (EATI'2020) : _bEmerging Applications and Technologies for Industry 4.0 _cedited by Jemal H. Abawajy, Kim-Kwang Raymond Choo, Haruna Chiroma.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XIII, 296 páginas) _b101 ilustraciones, 70 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Networks and Systems _x2367-3389 _v254
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aThe Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training -- Analysis of Variable Learning Rate Back Propagation with Cuckoo Search Algorithm for Data Classification -- A Metaheuristic based virtual machine allocation technique using Whale Optimization Algorithm in cloud -- Data Sampling-based Feature Selection Framework for Software Defect Prediction -- Application of K-Nearest Neighbor Algorithm for Prediction of Television Advertisement Rating -- An Evaluation of the Frameworks for Predicting of COVID-19 in Nigeria using Time Series Data Analytics Model -- Multi-objective Wrapper-based Feature Selection Using Binary Cuckoo Optimisation Algorithm: A Comparison Between NSGAII and NSGAIII -- A Logistic Predictive Model for Determining the Prevalent Mode of Financial Cybercrime in Sub-Saharan Africa -- Mathematical Verification of Hybrid Model for Prime Decision-Making in Driving -- An Efficient Multi-Sensor Positions Human Activity Recognition: Elderly Peoples in Rural Areas in Focus. .
520	3		_aThis book addresses the adoption of intelligent algorithms for resolving challenges in different aspects of the society such as sport, cyber-security, COVID-19 pandemic, advertising, driving, smart environment-sensors, blockchain, cloud computing, and health. In addition, the book also covers machine learning fundamentals such as feature selection. The book presents practical simulation results and different illustrations in different chapters for easy understanding of concepts and approaches. The types of contributions in the book are as follows: original research, survey, and theoretical insight that describe advancement in the adoption of technique for resolving the broad range of challenges. Researchers, undergraduates, postgraduates, and industry experts will find the book as a valuable resource that bridges theory and practice.
988			_aSpringer_Robotics_2021
650		7	_2embne _9413132 _aAutomatización
700	1		_aAbawajy, Jemal H. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681742
700	1		_aChoo, Kim-Kwang Raymond _eeditor literario _0(orcid)0000-0001-9208-5336 _1https://orcid.org/0000-0001-9208-5336 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9675697
700			_aChiroma, Haruna _eeditor literario _0(orcid)0000-0003-3446-4316 _1https://orcid.org/0000-0003-3446-4316 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681743
776	0	8	_iPrinted edition: _z9783030802158
776	0	8	_iPrinted edition: _z9783030802172
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-80216-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE