
Smart Electrical and Mechanical Systems
An Application of Artificial Intelligence and Machine Learning
- 1st Edition - June 21, 2022
- Imprint: Academic Press
- Editors: Rakesh Sehgal, Neeraj Gupta, Anuradha Tomar, Mukund Dutt Sharma, Vigna Kumaran
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 7 8 9 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 1 4 4 1 - 3
Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundament… Read more
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Request a sales quoteSmart 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
2. Artificial Intelligence and machine learning based Robot Control
3. Smart Mechanical Design
4. Smart Manufacturing
5. Autonomous vehicles
6. Image processing for electrical and mechanical engineering
7. Machine learning in smart electric power systems
8. Renewable energy integration with ML
9. Machine learning applications in optimal power flow
10. Machine learning applications in power system control
11. Machine learning applications in power system forecasting
- Edition: 1
- Published: June 21, 2022
- No. of pages (Paperback): 314
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323907897
- eBook ISBN: 9780323914413
RS
Rakesh Sehgal
NG
Neeraj Gupta
AT
Anuradha Tomar
MS
Mukund Dutt Sharma
VK