000			03548nam a22004695i 4500
999			_c368374 _d368374 _x1
001			368374
003			ES-MaUEC
005			20230102121729.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220402s2022 sz | s |||| 0|eng d
020			_a9783030901196
024	7		_a10.1007/978-3-030-90119-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.8857 _b2022 EB
245	0	0	_aRecent Advances in Internet of Things and Machine Learning : _bReal-World Applications _cedited by Valentina E. Balas, Vijender Kumar Solanki, Raghvendra Kumar
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXIV, 329 páginas) _b138 ilustraciones, 117 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4408 _v215
505	0		_aConcentration Level of Learner Using Facial Expressions On E-Learning Platform Using IoT-Based Pycharm Device -- IoT-based Machine learning system for Nutritional Ingredient Analyzer for Food -- A Secured Manhole Management System Using IoT and Machine Learning.
520			_aThis book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
988			_aSpringer_Robotics_2022
650		7	_2embne _9483083 _aInternet de los objetos
650		7	_2embne _9166090 _aAprendizaje automático
650		7	_2embne _9166276 _aSoft Computing
700	1		_aBalas, Valentina Emilia _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _996925
700	1		_aSolanki, Vijender Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKumar, Raghvendra, _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682610 _d1987-
776	0	8	_iPrinted edition: _z9783030901189
776	0	8	_iPrinted edition: _z9783030901202
776	0	8	_iPrinted edition: _z9783030901219
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-90119-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2022 _dz _eIG _zSI