000			01945nam a22002417a 4500
008			230406s2022 |||||||| |||| 00| 0 eng d
020			_a9783030853822
022			_l9783030853822
041			_aeng
082			_a006.3 _bFER
100			_aFernandes, Steven Lawrence _9653798 _eED
245			_aArtificial Intelligence in Industrial Applications Approaches to Solve the Intrinsic Industrial Optimization Problems
260			_aCham, Switzerland : _bSpringer, _cc2022
300			_aXIV, 192 p. _b: ill
490			_aLearning and Analytics in Intelligent Systems, vol. 25
504			_aYN
520			_aSUMMARY: This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.
650		0	_9674348 _aArtificial Intelligence Industrial Applications
700			_eED _aSharma, Tarun K. _9674363
856			_yTOC _uhttps://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9783030853822.pdf
856			_yWEB LINK _uhttps://link.springer.com/book/10.1007/978-3-030-85383-9#affiliations
942			_2ddc _cBOO
999			_c701439 _d701439