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Machine learning for sustainable manufacturing in industry 4.0 : = concept, concerns and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine learning for sustainable manufacturing in industry 4.0 :/ edited by Raman Kumar, Sita Rani, Sehijpal Singh.
其他題名:	concept, concerns and applications /
其他作者:	Singh, Sehijpal,
出版者:	Boca Raton, FL :CRC Press : 2024.,
面頁冊數:	xv, 233 p. :ill. ; : 25 cm.;
標題:	Industry 4.0. -
ISBN:	9781032393056 (cloth) :

Machine learning for sustainable manufacturing in industry 4.0 : = concept, concerns and applications /
Machine learning for sustainable manufacturing in industry 4.0 :concept, concerns and applications /edited by Raman Kumar, Sita Rani, Sehijpal Singh. - 1st ed. - Boca Raton, FL :CRC Press2024. - xv, 233 p. :ill. ;25 cm. - Mathematical engineering, manufacturing, and management sciences. - Mathematical engineering, manufacturing, and management sciences..

Includes bibliographical references and index.

"The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods"--

ISBN: 9781032393056 (cloth) :NT4774

LCCN: 2023020700Subjects--Topical Terms:

1083640
Industry 4.0.

LC Class. No.: TS183 / .M2327 2024

Dewey Class. No.: 670.285/631

Machine learning for sustainable manufacturing in industry 4.0 : = concept, concerns and applications /
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020 $a 1032592117 (pbk.)
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245 0 0 $a Machine learning for sustainable manufacturing in industry 4.0 : $b concept, concerns and applications / $c edited by Raman Kumar, Sita Rani, Sehijpal Singh.
250 $a 1st ed.
260 # $a Boca Raton, FL : $b CRC Press $c 2024.
300 $a xv, 233 p. : $b ill. ; $c 25 cm.
490 1 $a Mathematical engineering, manufacturing, and management sciences
504 $a Includes bibliographical references and index.
520 # $a "The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods"-- $c Provided by publisher.
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650 # 0 $a Machine learning. $3 561253
650 # 0 $a Manufacturing processes $x Automation. $3 557423
650 # 0 $a Manufacturing processes $x Data processing. $3 636667
700 1 # $a Singh, Sehijpal, $e editor. $3 1460287
700 1 # $a Rani, Sita, $e editor. $3 1460286
700 1 # $a Kumar, Raman $c (Engineering professor), $e editor. $3 1460285
830 0 $a Mathematical engineering, manufacturing, and management sciences. $3 1421224