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001 9781003534761
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007 cr |||||||||||
008 241025s2025 xx o ||| 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a1040157025
_q(electronic bk.)
020 _a9781040157022
_q(electronic bk.)
020 _a9781003534761
_q(electronic bk.)
020 _a1003534767
_q(electronic bk.)
020 _a9781040157039
_q(electronic bk. : EPUB)
020 _a1040157033
_q(electronic bk. : EPUB)
024 7 _a10.1201/9781003534761
_2doi
035 _a(OCoLC)1463506279
035 _a(OCoLC-P)1463506279
050 4 _aTA347.A78
072 7 _aCOM
_x059000
_2bisacsh
072 7 _aTEC
_x020000
_2bisacsh
072 7 _aTJF
_2bicssc
245 0 0 _aARTIFICIAL INTELLIGENCE BASED SOLUTIONS FOR INDUSTRIAL APPLICATIONS
_h[electronic resource].
260 _aABINGDON :
_bCRC PRESS,
_c2025.
300 _a1 online resource
490 1 _aComputational Methods for Industrial Applications
520 _aArtificial Intelligence based Solutions for Industrial Applications aims to examine the utilization of artificial intelligence (AI) technologies to tackle difficult industrial issues and offers readers a thorough understanding of how these technologies are being employed to address intricate industrial challenges and to stimulate innovation. This book explores the fundamental principles of artificial intelligence (AI) and its practical use in industrial environments. This book improves understanding of core concepts, the present state of the art and real-time implementation of AI in many industrial applications. This book describes the detailed implementation of AI in the industrial sector as well as related case studies for in-depth understanding. Basic concepts, related work reviews, illustrations, empirical results, and tables are integrated within each chapter to give the readers the opportunity to gain maximum knowledge andtoeasily understand themethodology and results presented. This book introduces a variety of smart algorithms to help in filtering important information and to solve problems in the application domains. Application of machine learning and deep learning in theindustry demonstrates the capabilities by which it may be used to solve practical problems in the'Fourth Industrial Revolution', and it equips readers with the necessary knowledge and tools to design solutions by themselves with the help of theory and practical examples dealt with. The fourth industrial revolution and its consequences on society and organizations are discussed in this book. Features: Detailed understanding of the industrial application of AI. Discussion of core concepts of different machine learning and deep learning techniques such as artificial neural networks, support vector machines, K -nearest neighbour, decision tree, logistic regression, and many more. Detailed study on various industrial applications of machine learning and deep learning in healthcare, education, entertainment, share market, manufacturing, and many more. Case studies on industrial application ofAI Summataion of the fourth industrial revolution and its consquences on society and organizations. This book is primarily written for graduate students, engineers, and academic researchers, industrial practitioners, and anyone who wants to optimize production processes, explore AI technology, or stay ahead in the industrial field. It covers the complexities of AI in industrial contexts from core basic understanding to complex implementation.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence
_xIndustrial applications.
_965268
650 7 _aCOMPUTERS / Computer Engineering
_2bisacsh
_964152
650 7 _aTECHNOLOGY / Manufacturing
_2bisacsh
_964249
700 1 _aJha, Pooja.
_996312
830 0 _aComputational Methods for Industrial Applications
_996313
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003534761
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cE-Books
999 _c68332
_d68332