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001442635 001__ 1442635
001442635 003__ OCoLC
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001442635 008__ 211105s2022\\\\si\\\\\\o\\\\\100\0\eng\d
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001442635 020__ $$a9789811652813$$q(electronic bk.)
001442635 020__ $$a9811652813$$q(electronic bk.)
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001442635 0247_ $$a10.1007/978-981-16-5281-3$$2doi
001442635 035__ $$aSP(OCoLC)1283140002
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001442635 049__ $$aISEA
001442635 050_4 $$aTS183
001442635 08204 $$a670$$223
001442635 1112_ $$aInternational Conference on Evolution in Manufacturing$$d(2020)
001442635 24510 $$aRecent advances in industrial production :$$bselect proceedings of ICEM 2020 /$$cRajeev Agrawal, Jinesh Kumar Jain, Vinod Singh Yadav, Vijaya Kumar Manupati, Leonilde Varela, editors.
001442635 2463_ $$aICEM 2020
001442635 260__ $$aSingapore :$$bSpringer,$$c[2022]
001442635 300__ $$a1 online resource
001442635 336__ $$atext$$btxt$$2rdacontent
001442635 337__ $$acomputer$$bc$$2rdamedia
001442635 338__ $$aonline resource$$bcr$$2rdacarrier
001442635 347__ $$atext file
001442635 347__ $$bPDF
001442635 4901_ $$aLecture notes in mechanical engineering,$$x2195-4364
001442635 5050_ $$aBibliometric and Review studies related to Industr4. And sustainability in Industry 4.0 -- Sustainable Additive Manufacturing Methodologies -- Frameworks, tools and techniques for Collaborative and Intelligent Networks and Decision Systems -- Tools and Techniques for Collaborative and Intelligent Networks -- Tools and techniques for Collaborative and Decision Systems.
001442635 506__ $$aAccess limited to authorized users.
001442635 520__ $$aThis book presents the select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including evolution in manufacturing, intelligent networks, bio-Inspired models and algorithms, internet-of-things, and cyber manufacturing. This book intends to provide a contribution to the domain of collaborative and intelligent networks and systems to fill the gap in theories and practical applications through suitable methods and solutions applicable to a wide range of instances. Various topics covered include broad range of research challenges in the fields of artificial intelligence and addressing current and future trends in industry 4.0 oriented scenario, data analytics and big data, operation and manufacturing management. The book will be a valuable reference for beginners, researchers and professionals interested in artificial intelligence in engineering and production management and allied fields.
001442635 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 15, 2021).
001442635 650_0 $$aManufacturing processes$$vCongresses.
001442635 650_0 $$aSmart materials$$vCongresses.
001442635 650_6 $$aFabrication$$vCongrès.
001442635 650_6 $$aMatériaux intelligents$$vCongrès.
001442635 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001442635 655_0 $$aElectronic books.
001442635 7001_ $$aAgrawal, Rajeev,$$eeditor.
001442635 7001_ $$aJain, Jinesh Kumar,$$eeditor.
001442635 7001_ $$aYadav, Vinod Singh,$$eeditor.
001442635 7001_ $$aManupati, Vijaya Kumar,$$eeditor.
001442635 7001_ $$aVarela, Leonilde,$$eeditor.
001442635 77608 $$iPrint version:$$aInternational Conference on Evolution in Manufacturing (2020).$$tRecent advances in industrial production.$$dSingapore : Springer, [2022]$$z9811652805$$z9789811652806$$w(OCoLC)1260132578
001442635 830_0 $$aLecture notes in mechanical engineering,$$x2195-4364
001442635 852__ $$bebk
001442635 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5281-3$$zOnline Access$$91397441.1
001442635 909CO $$ooai:library.usi.edu:1442635$$pGLOBAL_SET
001442635 980__ $$aBIB
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