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Artificial Intelligence and Machine Learning Algorithms for Engineering Applications by Krishan Arora;, Himanshu Sharma & Aeidapu Mahesh ISBN 9781032900520, 9781032914589, 1003563449, 1032900520, 1032914580, 978100356344 instant download

  • SKU: EBN-238619312
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Instant download (eBook) Artificial Intelligence and Machine Learning Algorithms for Engineering Applications after payment.
Authors:Krishan Arora;, Himanshu Sharma & Aeidapu Mahesh
Pages:313 pages
Year:2026
Edition:1st Edition
Publisher:CRC Press (Taylor & Francis Group)
Language:english
File Size:43.86 MB
Format:pdf
ISBNS:9781032900520, 9781032914589, 1003563449, 1032900520, 1032914580, 978100356344
Categories: Ebooks

Product desciption

Artificial Intelligence and Machine Learning Algorithms for Engineering Applications by Krishan Arora;, Himanshu Sharma & Aeidapu Mahesh ISBN 9781032900520, 9781032914589, 1003563449, 1032900520, 1032914580, 978100356344 instant download

This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications. It further explores the use of AI in civil and structural engineering, quality control, and product design.
Presents autonomous robots using onboard computing and AI algorithms to process the data from their sensors and make real-time decisions.Discusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problems.Provides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologies.Highlights the importance of using smart techniques including AI and ML in product design and development.Covers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturing.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing engineering, and environmental engineering.

D.O.I. 10.1201/9781003563440

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