001440853 000__ 04221cam\a2200613\i\4500 001440853 001__ 1440853 001440853 003__ OCoLC 001440853 005__ 20230309004706.0 001440853 006__ m\\\\\o\\d\\\\\\\\ 001440853 007__ cr\un\nnnunnun 001440853 008__ 211111s2021\\\\sz\a\\\\o\\\\\000\0\eng\d 001440853 019__ $$a1284980355$$a1285016407$$a1285052496$$a1285092768$$a1285121735$$a1285169388$$a1292518687$$a1294354877 001440853 020__ $$a9783030756574$$q(electronic bk.) 001440853 020__ $$a3030756572$$q(electronic bk.) 001440853 020__ $$z9783030756567$$q(print) 001440853 020__ $$z3030756564 001440853 0247_ $$a10.1007/978-3-030-75657-4$$2doi 001440853 035__ $$aSP(OCoLC)1285069397 001440853 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCO$$dDKU$$dOCLCO$$dDCT$$dOCLCQ$$dOCLCO$$dK6U$$dUKAHL$$dOCLCQ 001440853 049__ $$aISEA 001440853 050_4 $$aQA76.9.S63 001440853 08204 $$a006.3$$223 001440853 24500 $$aAdvanced soft computing techniques in data science, IoT and cloud computing /$$cSujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang, editors. 001440853 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021. 001440853 300__ $$a1 online resource (xxv, 434 pages) :$$billustrations (some color) 001440853 336__ $$atext$$btxt$$2rdacontent 001440853 337__ $$acomputer$$bc$$2rdamedia 001440853 338__ $$aonline resource$$bcr$$2rdacarrier 001440853 347__ $$atext file 001440853 347__ $$bPDF 001440853 4901_ $$aStudies in big data,$$x2197-6511 ;$$vvolume 89 001440853 5050_ $$aA Wearable Assistive Device for Safe Travel using Transfer Learning and IoT for Visually Impaired People -- Soft Computing Techniques for Physical Layer Security of IoT Devices -- Linear Congruence and Chaos based Encryption Key Generation for Medical Data Security in IoT based Health care System -- Content Based Video Retrieval -- Methods, Techniques and Applications. 001440853 506__ $$aAccess limited to authorized users. 001440853 520__ $$aThis book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. 001440853 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 11, 2021). 001440853 650_0 $$aSoft computing. 001440853 650_0 $$aInternet of things. 001440853 650_0 $$aCloud computing. 001440853 650_6 $$aInformatique douce. 001440853 650_6 $$aInternet des objets. 001440853 650_6 $$aInfonuagique. 001440853 655_0 $$aElectronic books. 001440853 7001_ $$aDash, Sujata,$$d1964-$$eeditor. 001440853 7001_ $$aPani, Subhendu Kumar,$$d1980-$$eeditor. 001440853 7001_ $$aAbraham, Ajith,$$d1968-$$eeditor. 001440853 7001_ $$aLiang, Yulan,$$eeditor. 001440853 77608 $$iPrint version:$$tAdvanced soft computing techniques in data science, IoT and cloud computing.$$dCham, Switzerland : Springer, 2021$$z3030756564$$z9783030756567$$w(OCoLC)1245658701 001440853 830_0 $$aStudies in big data ;$$vv. 89.$$x2197-6511 001440853 852__ $$bebk 001440853 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-75657-4$$zOnline Access$$91397441.1 001440853 909CO $$ooai:library.usi.edu:1440853$$pGLOBAL_SET 001440853 980__ $$aBIB 001440853 980__ $$aEBOOK 001440853 982__ $$aEbook 001440853 983__ $$aOnline 001440853 994__ $$a92$$bISE