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020 _a9783030756574
_9978-3-030-75657-4
024 7 _a10.1007/978-3-030-75657-4
_2doi
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072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
_h[electronic resource] /
_cedited by Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXV, 434 p. 258 illus., 192 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6511 ;
_v89
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 _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.
650 0 _aComputational intelligence.
650 0 _aEngineering
_xData processing.
650 0 _aCooperating objects (Computer systems).
650 0 _aBig data.
650 1 4 _aComputational Intelligence.
650 2 4 _aData Engineering.
650 2 4 _aCyber-Physical Systems.
650 2 4 _aBig Data.
700 1 _aDash, Sujata.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPani, Subhendu Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAbraham, Ajith.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLiang, Yulan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030756567
776 0 8 _iPrinted edition:
_z9783030756581
776 0 8 _iPrinted edition:
_z9783030756598
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v89
856 4 0 _uhttps://doi.org/10.1007/978-3-030-75657-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178511
_d178511