Artificial Intelligence and Machine Learning Algorithms for Engineering Applications
Published on 16. September 2025
312 pages
978-1-040-40638-0 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
26 Tables, black and white; 31 Line drawings, color; 73 Line drawings, black and white; 3 Halftones, black and white; 31 Illustrations, color; 76 Illustrations, black and white
File size
44,92 MB
ISBN-13
978-1-040-40638-0 (9781040406380)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Krishan Arora | Himanshu Sharma | Aeidapu Mahesh
Artificial Intelligence and Machine Learning Algorithms for Engineering Applications
Book
09/2025
1st Edition
CRC Press
€200.80
Shipment within 10-20 days
Persons
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.
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.
Content
1. Design and Simulation of an Advanced MPPT Controller for Efficiency Enhancement of Solar Power Plant. 2. Transformers in Clickbait Detection: Benchmarking State-of-the-Art Techniques. 3. Grid-based Coverage Path Planning for UAV with No-Fly Zone Avoidance: A Greedy Approach. 4. Artificial Intelligence-based Exploring the Influence of Numerology on Human Life. 5. An Enhanced Position Updating Strategy for Salp Swarm Algorithm to Solve Global Optimization Problems. 6. Comparative Analysis of Guanine and Thymine Conductance for DNA-Based Molecular Electronics: Insights into Nanoelectronic Applications. 7. AI in Robotics and Automation. 8. Detection of Cyberattacks in Cyber-Physical Microgrid using Machine Learning Techniques. 9. Double Gate Junction Less Field Effect Transistor Circuit Based on Low Power Applications. 10. Enhanced Grey Wolf Optimizer to Improve the Power Quality in Multilevel Inverter. 11. Sustainable Application of Blockchain in Food Supply Chains: Criteria in Selecting a Sustainable Blockchain Technology Service Provider. 12. Application Scenario of AI-enabled Architectures in Next Generation Wireless Networks. 13. Secure Session Key and Communal Verification Protocol Implementation in IOV Network. 14. AI-Driven Innovations in Medical Care. 15. Role of Artificial Intelligence in Robotics Applications. 16. AI-Powered Robotics and Automation: Revolutionizing Industries. 17. Introduction to AI and ML in Engineering. 18. Impact of Automation and Control Systems on Industry.
