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008			220709s2022 si | s |1|| 0|eng d
020			_a9789811696503
024	7		_a10.1007/978-981-16-9650-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2022 EB
245	0	0	_aMachine Intelligence and Smart Systems : _bProceedings of MISS 2021 _cedited by Shikha Agrawal, Kamlesh Kumar Gupta, Jonathan H. Chan, Jitendra Agrawal, Manish Gupta
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIII, 562 páginas) _b284 ilustraciones, 212 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAlgorithms for Intelligent Systems _x2524-7573
505	0		_aArtificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited -- Deep Learning Implementation for Dark Matter Particle Detection -- Augmentation of Handwritten Devanagari Character Dataset Using DCGAN -- Deep Reinforcement Learning for Optimal Traffic Control -- Ensemble Semi-Supervised Machine Learning Algorithm for Classifying Complaint Tweets -- Underwater Image Enhancement Using Fusion Stretch Method -- A Novel Approach for Semantic Microservices Description and Discovery towards Smarter Applications.
520			_aThis book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24-25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
650		7	_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas
700			_aAgrawal, Shikha _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681701
700			_aKumar Gupta, Kamlesh _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681702
700			_aChan, Jonathan H. _eeditor literario _0(orcid)0000-0002-2384-0462 _1https://orcid.org/0000-0002-2384-0462 _4edt _4http://id.loc.gov/vocabulary/relators/edt _998108
700			_aAgrawal, Jitendra _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681703
700			_aGupta, Manish _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681704
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811696497
776	0	8	_iPrinted edition: _z9789811696510
776	0	8	_iPrinted edition: _z9789811696527
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9650-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE