001436229 000__ 03629cam\a2200649\i\4500
001436229 001__ 1436229
001436229 003__ OCoLC
001436229 005__ 20230309004016.0
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001436229 008__ 210501s2021\\\\si\a\\\\ob\\\\000\0\eng\d
001436229 019__ $$a1249501125
001436229 020__ $$a9789811609350
001436229 020__ $$a9811609357
001436229 020__ $$z9811609349
001436229 020__ $$z9789811609343
001436229 0247_ $$a10.1007/978-981-16-0935-0$$2doi
001436229 035__ $$aSP(OCoLC)1249470640
001436229 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dOCLCO$$dUKAHL$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ
001436229 049__ $$aISEA
001436229 050_4 $$aTD159.4
001436229 08204 $$a628.0285$$223
001436229 24500 $$aMachine learning approaches for urban computing /$$cMainak Bandyopadhyay, Minakhi Rout, Suresh Chandra Satapathy, editors.
001436229 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001436229 300__ $$a1 online resource (xi, 208 pages) :$$billustrations (some color)
001436229 336__ $$atext$$btxt$$2rdacontent
001436229 337__ $$acomputer$$bc$$2rdamedia
001436229 338__ $$aonline resource$$bcr$$2rdacarrier
001436229 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 968
001436229 504__ $$aIncludes bibliographical references.
001436229 5050_ $$aUrbanization: Pattern, Effects and Modelling -- Extraction of Information from Hyperspectral Imaging using Deep Learning -- Vehicle Detection and count in the captured Stream Video using Machine Learning -- Dimensionality Reduction and Classification in Hyperspectral Images using Deep Learning -- Machine learning and deep learning algorithms in the diagnosis of chronic diseases -- Security Enhancement of Contact less Tachometer Based Cyber Physical System -- Optimization of Loss Function on Human Faces Using Generative Adversarial Networks.
001436229 506__ $$aAccess limited to authorized users.
001436229 520__ $$aThis book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data. The book is helpful for researchers, academicians, faculties, scientists and geospatial industry professionals for their research work and sets new ideas in the field of urban computing.
001436229 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 7, 2021).
001436229 650_0 $$aSmart cities.
001436229 650_0 $$aMachine learning.
001436229 650_0 $$aMunicipal engineering$$xData processing.
001436229 650_0 $$aMunicipal services$$xData processing.
001436229 650_0 $$aCity planning$$xData processing.
001436229 650_0 $$aBig data.
001436229 650_6 $$aVilles intelligentes.
001436229 650_6 $$aApprentissage automatique.
001436229 650_6 $$aGénie urbain$$xInformatique.
001436229 650_6 $$aServices municipaux$$xInformatique.
001436229 650_6 $$aDonnées volumineuses.
001436229 655_0 $$aElectronic books.
001436229 7001_ $$aBandyopadhyay, Mainak,$$d1989-$$eeditor.
001436229 7001_ $$aRout, Minakhi,$$eeditor.
001436229 7001_ $$aChandra Satapathy, Suresh.,$$eeditor.
001436229 77608 $$iPrint version:$$aBandyopadhyay, Mainak.$$tMachine Learning Approaches for Urban Computing.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789811609343
001436229 830_0 $$aStudies in computational intelligence ;$$vv. 968.$$x1860-949X
001436229 852__ $$bebk
001436229 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0935-0$$zOnline Access$$91397441.1
001436229 909CO $$ooai:library.usi.edu:1436229$$pGLOBAL_SET
001436229 980__ $$aBIB
001436229 980__ $$aEBOOK
001436229 982__ $$aEbook
001436229 983__ $$aOnline
001436229 994__ $$a92$$bISE