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020 a| 9781041076551q| hbk;

020 a| 9781041076568q| pbk;

020 z| 9781003641582q| ebk;

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245 00 a| Artificial intelligence-powered electrical machine designh| [electronic resource] :b| optimization, control, and innovation /c| edited by Krishan Arora, Himanshu Sharma and D.P. Kothari.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press,c| 2026.;

263 a| 2603;

300 a| pages cm;

334 a| single unitb| mono0| http://id.loc.gov/vocabulary/issuance/mono;

353 a| bibliographyb| bibliography0| http://id.loc.gov/vocabulary/msupplcont/bibliography;

353 a| indexb| index0| http://id.loc.gov/vocabulary/msupplcont/index;

504 a| Includes bibliographical references and index.;

505 2 a| Integration of intelligent safety systems in electric vehicle drive machines / Dr. Krishan Arora -- Deep learning architectures for optimization of electrical machine design / Satya Ravi Teja Peddada, Ravi Shankar Saripalle, Jayasri Angara, Praseeda Saripalle -- AI techniques for predictive maintenance / P. Sureshkumar, N. S. Sivakumar, Mohan Kumar A.;

506 a| Available only to authorized users.;

520 a| "Artificial Intelligence is no longer just a futuristic concept-it is transforming the way we design, build, and manage electrical machines and intelligent systems today. This groundbreaking volume showcases the convergence of AI, machine learning, and modern engineering, offering a window into the technologies shaping tomorrow's mobility, energy, and digital ecosystems. From intelligent safety in electric vehicles and predictive maintenance of machines to additive manufacturing, smart disaster management, and Industry 5.0 integration, each chapter presents state-of-the-art research with practical applications. Readers will discover how advanced algorithms enhance machine design, optimize charging station placement, secure cloud pipelines, and redefine data-driven decision-making. The book not only delivers technical depth but also addresses ethical and societal questions, ensuring a holistic understanding of AI's role in the modern world. Ideal for engineers, researchers, and technology leaders, this book provides both inspiration and actionable insights. Academics and graduate students will find it a rich resource for advancing research, while professionals in mobility, energy, and IoT industries can directly apply its ideas to real-world innovation. For anyone eager to harness the power of AI in engineering and beyond, this volume is an indispensable guide"-- Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Mechanical engineeringx| Data processing0| http://id.loc.gov/authorities/subjects/sh2010101107=| ^A1380168;

650 0 a| Artificial intelligencex| Industrial applications=| ^A15394;

650 0 a| Machineryx| Design and construction=| ^A48098;

650 0 a| Computational intelligencex| Industrial applications=| ^A374447;

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758 4| http://id.loc.gov/ontologies/bibframe/instanceOf1| http://id.loc.gov/resources/works/in00024412361;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=4346919&scope=site&custid=s5822723&authtype=ip,shib;

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Artificial intelligence-powered electrical machine design optimization, control, and innovation / edited by Krishan Arora, Himanshu Sharma and D.P. Kothari.

Other author	Arora, Krishan (Electrical engineer
Other author	Sharma, Himanshu (Electrical engineer
Other author	Kothari, D. P. (Dwarkadas Pralhaddas), 1944
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press, 2026.
Description	pages cm
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Mechanical engineering--Data processing. Artificial intelligence--Industrial applications. Machinery--Design and construction. Computational intelligence--Industrial applications. Intelligent transportation systems--Data processing.

Partial contents	Integration of intelligent safety systems in electric vehicle drive machines / Dr. Krishan Arora -- Deep learning architectures for optimization of electrical machine design / Satya Ravi Teja Peddada, Ravi Shankar Saripalle, Jayasri Angara, Praseeda Saripalle -- AI techniques for predictive maintenance / P. Sureshkumar, N. S. Sivakumar, Mohan Kumar A.
Abstract	"Artificial Intelligence is no longer just a futuristic concept-it is transforming the way we design, build, and manage electrical machines and intelligent systems today. This groundbreaking volume showcases the convergence of AI, machine learning, and modern engineering, offering a window into the technologies shaping tomorrow's mobility, energy, and digital ecosystems. From intelligent safety in electric vehicles and predictive maintenance of machines to additive manufacturing, smart disaster management, and Industry 5.0 integration, each chapter presents state-of-the-art research with practical applications. Readers will discover how advanced algorithms enhance machine design, optimize charging station placement, secure cloud pipelines, and redefine data-driven decision-making. The book not only delivers technical depth but also addresses ethical and societal questions, ensuring a holistic understanding of AI's role in the modern world. Ideal for engineers, researchers, and technology leaders, this book provides both inspiration and actionable insights. Academics and graduate students will find it a rich resource for advancing research, while professionals in mobility, energy, and IoT industries can directly apply its ideas to real-world innovation. For anyone eager to harness the power of AI in engineering and beyond, this volume is an indispensable guide"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2025046216
ISBN	9781041076551 hbk
ISBN	9781041076568 pbk
ISBN	ebk

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Artificial intelligence-powered electrical machine design optimization, control, and innovation / edited by Krishan Arora, Himanshu Sharma and D.P. Kothari.

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