Ai and Machine Learning for Mechanical and Electrical Engineering

The book examines issues involved in the transition from traditional mechanical and electrical engineering and their management systems to the new engineering paradigms created by the application of smart systems. It covers applications, methods to transition to smart engineering and management, and associated ethical implications.

Info autore

Dr. T. Rajasanthosh Kumar is an associate professor of the Department of Mechanical Engineering at Oriental Institute of Science and Technology, Bhopal, India.
Dr. Surendra Reddy Vinta is an associate professor of the School of Computer Science and Engineering at VIT-AP University, Amaravati, India.
Dr. Sagar Dhanraj Pande is head of the School of Engineering and Technology at Pimpri Chinchwad University, Pune, Maharashtra, India.
Dr. Aditya Khamparia is an assistant professor and coordinator of the Department of Computer Science at Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India.

Dettagli sul prodotto

• Con la collaborazione di: T. Rajasanthosh Kumar (Editore), Surendra Reddy Vinta (Editore), Sagar Dhanraj Pande (Editore), Aditya Khamparia (Editore)
• Autori: T. Rajasanthosh Vinta Kumar
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 16.09.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Guide e manuali
• EAN: 9781032759487
• ISBN: 978-1-0-3275948-7
• Numero di pagine: 321
• Serie: Innovations in Intelligent Internet of Everything IoE
• Categorie: TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Electrical, Electrical Engineering, Mechanical Engineering, COMPUTERS / Artificial Intelligence / General, Network Management, Neural networks and fuzzy systems, Neural networks & fuzzy systems, Evolutionary Optimization, robotics;neural networks;power management, predictive maintenance strategies, intelligent electromechanical system integration, anomaly detection systems, bioinformatics sensor networks, smart grid protection