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008			220114s2022 si | s |1|| 0|eng d
020			_a9789811626418
024	7		_a10.1007/978-981-16-2641-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.5915 _b2022 EB
245	0	0	_aData Engineering for Smart Systems : _bProceedings of SSIC 2021 _cedited by Priyadarsi Nanda, Vivek Kumar Verma, Sumit Srivastava, Rohit Kumar Gupta, Arka Prokash Mazumdar
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXII, 681 páginas) _b276 ilustraciones, 197 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Networks and Systems _x2367-3389 _v238
505	0		_aUsing Machine Learning, Image Processing & Neural Networks to Sense Bullying in K-12 Schools: Enhanced -- Feature based Comparative Study of Machine Learning Algorithms for Credibility Analysis of Online Social Media Content -- Smart support system for navigation of visually challenged person using IOT -- Identity Based Video Summarization -- Security Testing for Blockchain enabled IoT system.
520			_aThis book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22-23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies.
988			_aSpringer_Robotics_2022
650		7	_2embne _9483083 _aInternet de los objetos _vCongresos y asambleas
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
776	0	8	_iPrinted edition: _z9789811626401
776	0	8	_iPrinted edition: _z9789811626425
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2641-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI