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020			_a9783030756574
024	7		_a10.1007/978-3-030-75657-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .S63 _b2021 EB
245	1	0	_aAdvanced Soft Computing Techniques in Data Science, IoT and Cloud Computing _cedited by Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XXV, 434 páginas) _b258 ilustraciones, 192 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Big Data _x2197-6511 _v89
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aA Wearable Assistive Device for Safe Travel using Transfer Learning and IoT for Visually Impaired People -- Soft Computing Techniques for Physical Layer Security of IoT Devices -- Linear Congruence and Chaos based Encryption Key Generation for Medical Data Security in IoT based Health care System -- Content Based Video Retrieval - Methods, Techniques and Applications.
520	3		_aThis book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution.
988			_aSpringer_Computer_2021
650		7	_2embne _9166276 _aSoft Computing
700	1		_aDash, Sujata _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPani, Subhendu Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAbraham, Ajith _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLiang, Yulan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030756567
776	0	8	_iPrinted edition: _z9783030756581
776	0	8	_iPrinted edition: _z9783030756598
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-75657-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eh _zSI