The book comprehensively covers core algorithms and techniques used in artificial intelligence and machine learning for engineering applications. It further explores the use of artificial intelligence 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 as well as practical knowledge about the design of modern computation techniques with advanced tools and methodologies.
- Highlights the importance of using smart techniques including artificial intelligence and machine learning 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.
The text showcases the use of artificial intelligence and machine learning-based algorithms with advanced tools and methodologies for diverse engineering applications. It further discusses topics such as data preprocessing, cross-validation techniques, support vector machines in manufacturing, and reinforcement learning for control systems.
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.
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.
