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dc.contributor.editorKyprianidis, Konstantinos
dc.contributor.editorDahlquist, Erik
dc.date.accessioned2021-04-20T16:28:39Z
dc.date.available2021-04-20T16:28:39Z
dc.date.issued2021
dc.identifierONIX_20210420_9781789858785_3227
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67867
dc.description.abstractOver the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineeringen_US
dc.subject.otherAutomatic control engineering
dc.titleAI and Learning Systems
dc.title.alternativeIndustrial Applications and Future Directions
dc.typebook
oapen.identifier.doi10.5772/intechopen.85833
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781789858785
oapen.relation.isbn9781789858778
oapen.relation.isbn9781839686016
oapen.imprintIntechOpen
oapen.pages272


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