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Inhaltsangabe
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 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.
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Über die Autorin bzw. den Autor
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 than 70 research papers in refereed Science Journals and Conferences. His areas of expertise include electrical machines, non-conventional energy sources, load frequency control, automatic generation control, and modernization of smart grids. He has taught courses like power electronics, non-conventional energy sources, electric drives, induction and synchronous machines, and digital electronics at senior undergraduate and graduate levels.
Himanshu Sharma is currently working as an associate professor, at G.H. Raisoni College of Engineering and Management, Maharashtra, India. He has published research papers in journals and conferences of national and international repute. His area of expertise includes power electronics, optimization techniques, load-frequency control, automatic generation control, and modernization of smart grids. He has taught courses like power electronics, non-conventional energy sources, electric drives, induction and synchronous machines, and digital electronics.
Aeidapu Mahesh works as an assistant professor, in the Department of Electrical Engineering, at Sardar Vallabhbhai National Institute of Technology, Surat, India. He has published journal papers and presented papers at national and international conferences. His research interests include hybrid renewable energy systems, evolutionary optimization techniques, power electronics, and drives.
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Artificial Intelligence and Machine Learning Algorithms for Engineering Applications (Hardcover)
Anbieter: Grand Eagle Retail, Mason, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781032900520
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Artificial Intelligence and Machine Learning Algorithms for Engineering Applications (Hardcover)
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781032900520
Anzahl: 1 verfügbar