9781032900520 - Artificial Intelligence and Machine Learning Algorithms for Engineering Applications (20 resultados)

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Hardcover. Condición: new. Hardcover. 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.Features:Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisionsDiscusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problemsProvides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologiesHighlights the importance of using smart techniques including AI and ML in product design and developmentCovers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturingThe 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. The text showcases the use of artificial intelligence and machine learning-based algorithms with advanced tools and methodologies for diverse engineering applications. It further discusses topics such as data preprocessing, cross-validation techniques, support vector machines in manufacturing, and reinforcement learning for control systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Krishan Arora is presently working as an associate professor, and head of the Department, of Power Systems in the School of Electronics and Electrical Engineering, at Lovely Professional University, Punjab. India. He has published more t.

Hardcover. Condición: new. Hardcover. 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.Features:Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisionsDiscusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problemsProvides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologiesHighlights the importance of using smart techniques including AI and ML in product design and developmentCovers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturingThe 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. The text showcases the use of artificial intelligence and machine learning-based algorithms with advanced tools and methodologies for diverse engineering applications. It further discusses topics such as data preprocessing, cross-validation techniques, support vector machines in manufacturing, and reinforcement learning for control systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condición: Neu. Artificial Intelligence and Machine Learning Algorithms for Engineering Applications | Krishan Arora (u. a.) | Buch | Englisch | 2025 | CRC Press | EAN 9781032900520 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condición: new. Hardcover. 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.Features:Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisionsDiscusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problemsProvides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologiesHighlights the importance of using smart techniques including AI and ML in product design and developmentCovers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturingThe 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. The text showcases the use of artificial intelligence and machine learning-based algorithms with advanced tools and methodologies for diverse engineering applications. It further discusses topics such as data preprocessing, cross-validation techniques, support vector machines in manufacturing, and reinforcement learning for control systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The text showcases the use of artificial intelligence and machine learning-based algorithms with advanced tools and methodologies for diverse engineering applications. It further discusses topics such as data preprocessing, cross-validation techniques, support vector machines in manufacturing, and reinforcement learning for control systems.