000			02138naaaa2200409uu 4500
003			BUT
005			20230525100835.0
006			m o d
007			cr|mn|---annan
008			202104s2021 x |||||o ||||eng|| d
020			_a9781789858785
020			_a9781789858778
020			_a9781839686016
040			_aoapen _coapen
041	0		_aeng
080			_a004.8
100	1		_aKyprianidis, Konstantinos _4edt
245	1	0	_aAI and Learning Systems _bIndustrial Applications and Future Directions
260			_bIntechOpen _c2021
300			_a1 electronic resource (272 p.)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aOver 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
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc/4.0/ _2cc
546			_aEnglish
650		0	_aИскусственный интеллект _94518
653			_aAutomatic control engineering
700	1		_aDahlquist, Erik _4edt
700	1		_aKyprianidis, Konstantinos _4oth
700	1		_aDahlquist, Erik _4oth
856	4	0	_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/9423/authors_book/authors_book.pdf _70 _zDownload
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/67867 _70 _zDescription
909			_c255 _dRobiyakhon Olimjonova
942			_2udc _cEE
999			_c6642 _d6642