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Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning

Editat de Rakesh Sehgal, Neeraj Gupta, Anuradha Tomar, Mukund Dutt Sharma, Vigna Kumaran
en Limba Engleză Paperback – 20 iun 2022
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
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Specificații

ISBN-13: 9780323907897
ISBN-10: 032390789X
Pagini: 314
Ilustrații: Approx. 120 illustrations
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.42 kg
Editura: ELSEVIER SCIENCE

Public țintă

Researchers, professionals working in the field of Energy, Electrical and Mechanical Engineering
Engineers, energy experts, R&D organizations and industry professionals engaged in research in the field of smart systems

Cuprins

1. Basics of Artificial intelligence and Machine learning
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