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008			220225s2022 si | s |||| 0|eng d
020			_a9789811650901
024	7		_a10.1007/978-981-16-5090-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.8857 _b2022 EB
245	0	0	_aMachine Learning and Internet of Things for Societal Issues _cedited by Ch. Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publising _c2022
300			_a1 recurso en línea (XVII, 157 páginas) _b82 ilustraciones, 65 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aAdvanced Technologies and Societal Change _x2191-6861
505	0		_aMachine and Deep learning techniques for Image Classification -- IoT based Techniques for smart Agriculture -- Machine and Deep learning techniques for Satellite Image Analysis -- Machine and Deep learning techniques for Automatic Speech Recognition -- Machine and Deep learning techniques for Object Detection -- Machine and Deep learning techniques for Object Segmentation -- Machine and Deep learning techniques for Automatic Image Caption Generation -- Machine and Deep learning techniques for Automatically Adding Sounds to Silent Movies -- Machine and Deep learning techniques for News Aggregation and Fraud News Detection -- Machine and Deep learning techniques for Natural Language Processing -- Machine and Deep learning techniques for Smart Sign Language Recognition System for Dumb and Deaf People -- Machine and Deep learning techniques for Smart Text Reader System for Blind Person -- Machine and Deep learning techniques for Automatic Language Translation System -- Machine and Deep learning techniques for Automatic Handwriting Generation System -- Machine and Deep learning techniques for Biomedical Image Processing Applications -- Machine and Deep learning techniques for Healthcare Monitoring System -- Machine and Deep learning techniques for Impact of IoT in Biomedical Applications -- Emerging Pedagogies of Machine Learning and Deep Learning in Smart Agriculture -- Machine and Deep learning techniques in Finance -- Machine and Deep Learning Techniques in System Biology -- IoT Based Road Safety Applications.
520			_aThis book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.
988			_aSpringer_Computer_2022
650		7	_2embne _9483083 _aInternet de los objetos
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aSatyanarayana, Ch. _eeditor literario
700	1		_aGao, Xiao-Zhi _eeditor literario
700	1		_aTing, Choo-Yee _eeditor literario
700	1		_aMuppalaneni, Naresh Babu _eeditor literario
773	0		_tSpringer Nature eBook
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5090-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _eu _zSI