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001444148 001__ 1444148
001444148 003__ OCoLC
001444148 005__ 20230310003654.0
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001444148 019__ $$a1295222247$$a1295243627$$a1296430234$$a1296666175
001444148 020__ $$a9789811668876$$q(electronic bk.)
001444148 020__ $$a9811668876$$q(electronic bk.)
001444148 020__ $$z9789811668869
001444148 020__ $$z9811668868
001444148 0247_ $$a10.1007/978-981-16-6887-6$$2doi
001444148 035__ $$aSP(OCoLC)1295214673
001444148 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dEBLCP$$dGW5XE$$dDKU$$dOCLCO$$dOCLCF$$dOCLCO$$dUKAHL$$dOCLCQ
001444148 049__ $$aISEA
001444148 050_4 $$aQA76.9.D343$$bA33 2020
001444148 08204 $$a006.3/12$$223
001444148 1112_ $$aAcademia-Industry Consortium for Data Science$$d(2020 :$$cWenzhou, China).
001444148 24510 $$aProceedings of Academia-Industry Consortium for Data Science :$$bAICDS 2020 /$$cGaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang, editors.
001444148 24630 $$aAICDS 2020
001444148 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001444148 264_4 $$c©2022
001444148 300__ $$a1 online resource :$$billustrations (chiefly color).
001444148 336__ $$atext$$btxt$$2rdacontent
001444148 337__ $$acomputer$$bc$$2rdamedia
001444148 338__ $$aonline resource$$bcr$$2rdacarrier
001444148 347__ $$atext file$$bPDF$$2rda
001444148 4901_ $$aAdvances in intelligent systems and computing ;$$vvolume 1411
001444148 500__ $$aConference proceedings.
001444148 500__ $$aIncludes author index.
001444148 5050_ $$aNeural Artistic Style Transfer using Deep Neural Networks -- Choice Based One-Time Pad Approach Using Hybrid Cellular Automata -- Novel Imaging Approach for Mental Stress Detection using EEG Signals -- Classification of Fundus Images for Diabetic Retinopathy using Machine Learning: A Brief Review -- Wearable Sensor and Machine Learning Model based Fall Detection System for Safety of Elders and Movement Disorders.
001444148 506__ $$aAccess limited to authorized users.
001444148 520__ $$aThis book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19-20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.
001444148 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 16, 2022).
001444148 650_0 $$aData mining$$vCongresses.
001444148 650_0 $$aMachine learning$$vCongresses.
001444148 650_0 $$aComputational intelligence$$vCongresses.
001444148 650_6 $$aExploration de données (Informatique)$$vCongrès.
001444148 650_6 $$aApprentissage automatique$$vCongrès.
001444148 650_6 $$aIntelligence informatique$$vCongrès.
001444148 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001444148 655_7 $$aConference papers and proceedings.$$2lcgft
001444148 655_7 $$aActes de congrès.$$2rvmgf
001444148 655_0 $$aElectronic books.
001444148 7001_ $$aGupta, Gaurav,$$eeditor.
001444148 7001_ $$aWang, Lipo,$$eeditor.
001444148 7001_ $$aYadav, Anupam,$$eeditor.
001444148 7001_ $$aRana, Puneet,$$eeditor.
001444148 7001_ $$aWang, Zhenyu,$$eeditor.
001444148 77608 $$iPrint version: $$z9811668868$$z9789811668869$$w(OCoLC)1267386981
001444148 830_0 $$aAdvances in intelligent systems and computing ;$$v1411.
001444148 852__ $$bebk
001444148 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-6887-6$$zOnline Access$$91397441.1
001444148 909CO $$ooai:library.usi.edu:1444148$$pGLOBAL_SET
001444148 980__ $$aBIB
001444148 980__ $$aEBOOK
001444148 982__ $$aEbook
001444148 983__ $$aOnline
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