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001443125 020__ $$a9783030853839$$q(electronic bk.)
001443125 020__ $$a3030853837$$q(electronic bk.)
001443125 020__ $$z9783030853822
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001443125 0247_ $$a10.1007/978-3-030-85383-9$$2doi
001443125 035__ $$aSP(OCoLC)1288026557
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001443125 049__ $$aISEA
001443125 050_4 $$aQ335$$b.A78 2022
001443125 08204 $$a006.3$$223
001443125 24500 $$aArtificial intelligence in industrial applications :$$bapproaches to solve the intrinsic industrial optimization problems /$$cSteven Lawrence Fernandes, Tarun K. Sharma, editors.
001443125 264_1 $$aCham :$$bSpringer,$$c[2022]
001443125 264_4 $$c©2022
001443125 300__ $$a1 online resource :$$billustrations (chiefly color)
001443125 336__ $$atext$$btxt$$2rdacontent
001443125 337__ $$acomputer$$bc$$2rdamedia
001443125 338__ $$aonline resource$$bcr$$2rdacarrier
001443125 347__ $$atext file
001443125 347__ $$bPDF
001443125 4901_ $$aLearning and analytics in intelligent systems ;$$vvolume 25
001443125 504__ $$aIncludes bibliographical references.
001443125 5050_ $$aChapter 1: Machine Learning Techniques for Grocery Sales Forecasting by Analyzing Historical Data -- Chapter 2: Identifying impact of sanitation and environmental safety in hospitality sector to identify the spread of COVID -19 using Polynomial Function Simulation -- Chapter 3: Upskilling and Curating the potentials of IoT enabled Smart Cities: Use Cases and Implementation Strategies -- Chapter 4: An Efficient Deep Learning Framework for People Detection in Overhead Images.
001443125 506__ $$aAccess limited to authorized users.
001443125 520__ $$aThis book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.
001443125 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 16, 2021).
001443125 650_0 $$aArtificial intelligence.
001443125 650_6 $$aIntelligence artificielle.
001443125 655_0 $$aElectronic books.
001443125 7001_ $$aFernandes, Steven Lawrence,$$eeditor.
001443125 7001_ $$aSharma, Tarun K.,$$eeditor.
001443125 77608 $$iPrint version:$$z3030853829$$z9783030853822$$w(OCoLC)1261303460
001443125 830_0 $$aLearning and analytics in intelligent systems ;$$vv. 25.
001443125 852__ $$bebk
001443125 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-85383-9$$zOnline Access$$91397441.1
001443125 909CO $$ooai:library.usi.edu:1443125$$pGLOBAL_SET
001443125 980__ $$aBIB
001443125 980__ $$aEBOOK
001443125 982__ $$aEbook
001443125 983__ $$aOnline
001443125 994__ $$a92$$bISE