AI and Learning Systems
Industrial Applications and Future Directions
dc.contributor.editor | Kyprianidis, Konstantinos | |
dc.contributor.editor | Dahlquist, Erik | |
dc.date.accessioned | 2021-04-20T16:28:39Z | |
dc.date.available | 2021-04-20T16:28:39Z | |
dc.date.issued | 2021 | |
dc.identifier | ONIX_20210420_9781789858785_3227 | |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/67867 | |
dc.description.abstract | Over 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.language | English | |
dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering | en_US |
dc.subject.other | Automatic control engineering | |
dc.title | AI and Learning Systems | |
dc.title.alternative | Industrial Applications and Future Directions | |
dc.type | book | |
oapen.identifier.doi | 10.5772/intechopen.85833 | |
oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
oapen.relation.isbn | 9781789858785 | |
oapen.relation.isbn | 9781789858778 | |
oapen.relation.isbn | 9781839686016 | |
oapen.imprint | IntechOpen | |
oapen.pages | 272 |
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