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008			230123s2022 sz | s |||| 0|eng d
020			_a9783030853839
024	7		_a10.1007/978-3-030-85383-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ335 _b2022 EB
245	0	0	_aArtificial Intelligence in Industrial Applications : _bApproaches to Solve the Intrinsic Industrial Optimization Problems _cedited by Steven Lawrence Fernandes, Tarun K. Sharma
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 192 páginas) _b102 ilustraciones, 93 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLearning and Analytics in Intelligent Systems _x2662-3455 _v25
505	0		_aChapter 1: Machine Learning Techniques for Grocery Sales Forecasting by Analyzing Historical Data -- Chapter 2: Identifying impact of sanitation and environmental safety in hospitality sector to identify the spread of COVID -19 using Polynomial Function Simulation -- Chapter 3: Upskilling and Curating the potentials of IoT enabled Smart Cities: Use Cases and Implementation Strategies -- Chapter 4: An Efficient Deep Learning Framework for People Detection in Overhead Images.
520			_aThis book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _9413115
776	0	8	_iPrinted edition: _z9783030853822
776	0	8	_iPrinted edition: _z9783030853846
776	0	8	_iPrinted edition: _z9783030853853
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-3-030-85383-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI