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008			220212s2022 sz | s |||| 0|eng d
020			_a9783030814731
024	7		_a10.1007/978-3-030-81473-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR858 .A1 _b2022 EB
245	1	0	_aIntelligent Internet of Things for Healthcare and Industry _cedited by Uttam Ghosh, Chinmay Chakraborty, Lalit Garg, Gautam Srivastava
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (XV, 384 páginas) _b120 ilustraciones, 108 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aInternet of Things Technology Communications and Computing _x2199-1081
505	0		_aChapter 1. Effectiveness of machine and deep learning in IoT enabled devices for healthcare system -- Chapter 2. Network protocols for the internet of health things -- Chapter 3. Affective computing for eHealth using low cost remote internet-of-things based EMG platform -- Chapter 4. Application of internet of things (IoT) to fight Covid-19 epidemic -- Chapter 5. An enhanced IoT based array of sensors for monitoring patients health -- Chapter 6. A secured smart healthcare monitoring systems using blockchain technology -- Chapter 7. Computational intelligence in healthcare with special emphasis on bioinformatics and internet of medical things -- Chapter 8. A review on security and privacy of internet of medical things -- Chapter 9. An Introduction to Wearable Sensor Technology -- Chapter 10. A fog based intelligent secured IoMT framework for early diabetes prediction -- Chapter 11. A comprehensive analysis of sustainable IoT infrastructure in the post-covid-19 era -- Chapter 12. Reinforced rider optimization algorithm for diagnosis of autism spectrum disorder and medical data -- Chapter 13. Machine Learning for Fog Computing Based IoT Networks in Smart City Environment -- Chapter 14. QoS and Energy Efficiency Using Green Cloud Computing -- Chapter 15. Privacy issues in smart IoT for Healthcare and Industry -- Chapter 16. Intelligent IoT for automotive industry 4.0 - challenges, opportunities, and future trends -- Chapter 17. Smart security for industrial and healthcare IoT applications.
520			_aThis book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.
988			_aSpringer_Computer_2022
650		7	_2embne _9421154 _aInformática médica
650		7	_2embne _9483083 _aInternet de los objetos
700	1		_aGhosh, Uttam _eeditor literario _0(orcid)0000-0003-1698-8888 _1https://orcid.org/0000-0003-1698-8888 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChakraborty, Chinmay _eeditor literario _0(orcid)0000-0002-4385-0975 _1https://orcid.org/0000-0002-4385-0975 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGarg, Lalit _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSrivastava, Gautam _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030814724
776	0	8	_iPrinted edition: _z9783030814748
776	0	8	_iPrinted edition: _z9783030814755
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-81473-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _eh _zSI