Smart Electrical and Mechanical Systems | An Application of Artificial Intelligence and Machine Learning
Language: English
Published by Elsevier Inc, 2022
- Softcover
- New
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Smart Electrical and Mechanical Systems | An Application of Artificial Intelligence and Machine Learning | Rakesh Sehgal (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2022 | Elsevier Inc | EAN 9780323907897 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Seller Inventory # 120820431
- Title
- Smart Electrical and Mechanical Systems | An Application of Artificial Intelligence and Machine Learning
- Author
- Rakesh Sehgal (u. a.)
- Publisher
- Elsevier Inc
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 032390789X
- ISBN 13
- 9780323907897
- Item weight
- 426 grams
- Dimensions
- 229 x 152 x 17 mm
- Seller catalogs
- Bücher
Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems.
The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples.
- Includes significant case studies related to application of Artificial Intelligence and Machine Learning in Energy and Power, Mechanical Design and Manufacturing
- Contains supporting illustrations and tables, along with a valuable set of references at the end of each chapter
- Provides original, state-of-the-art research material written by international and national respected contributors
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Neeraj Gupta is Ph.D. in power systems from Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with the Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018 and presently, he has been working as an Assistant professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier etc. He is also in the scientific advisory/organizing secretary of many reputed conferences of the country. He is referee of reputed journals of IEEE, Elsevier, Taylor and Francis, IET etc. His research interests include uncertainty quantification of power system, probabilistic power system, solar, wind, and electric vehicle technologies, Artificial intelligence, Machine learning, prediction etc.
Dr. Anuradha Tomar has 12 years of experience and currently is working as Postdoctoral researcher at Eindhoven University of Technology, the Netherlands. She has received her B.E Degree in Electronics Instrumentation & Control with Honours (2007) from University of Rajasthan and M.Tech Degree with Honours in Power System (2009) from National Institute of Technology Hamirpur. She has received her Ph. D in Electrical Engineering, from Indian Institute of Technology Delhi. Dr. Tomar has committed her research work for the development of sustainable, energy efficient solutions for the empowerment of society. Her research interest are Photovoltaic systems, Microgrid, Energy conservation and Automation. She has authored or co-authored 69 research/review papers in various reputed International, National Journals, and Conferences. Her research interests include photovoltaic systems, microgrids, energy conservation. She has also filled seven Indian patents on her name. Dr. Tomar is Senior member of IEEE, LM of ISTE, IETE, IEI, and IAENG.
Dr. Mukund Dutt Sharma is currently working as Assistant Professor, National Institute of Technology, Srinagar. He received his B.E. Degree in Mechanical Engineering with distinction from UIET, Barkatullah University, Bhopal, M.Tech in CAD-CAM and Ph.D. in Mechanical Engineering from National Institute of Technology, Hamirpur. He has a distinguished career of 8 years in teaching, research, and administration. He is presently guiding 03 Ph.D. scholars in tribology. He has published 22 research papers in International/National Journals and International/National conference proceedings, reviewed book chapters of Manufacturing Technology (Volume 1 and 2) by P N Rao (TMH).
Prof Vigna Kumaran completed his Bachelors Degree in Electrical and Electronics Engineering at the University of Manchester Institute of Science and Technology (UMIST), United Kingdom in 1998 under the Malaysian Government scholarship. He then pursued his PhD in Electrical Engineering at UMIST, UK and completed his PhD in 2001. He then joined the Malaysian electric al utility, Tenaga Nasional Berhad in 2002 as an electrical engineer. In 2005, he moved to Universiti Tenaga Nasional (UNITEN) and is presently a Professor in the Institute of Power Engineering.
"About the title" may belong to another edition of this title.
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