Technology Developments in Computer Intelligence and their Applications in the era of Industry 5.0

1. Auflage 2025
ISBN: 978-1-032-94108-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 248 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Smart Technologies for Engineers and Scientists

Smart technologies such as artificial intelligence, machine learning, and computer intelligence are shaping the future of Industry 5.0. This book delves into emerging technologies that integrate human-centric approaches with AI-driven automation, addressing key innovations in deep learning, augmented reality and IoT. Through real-world applications across industries such as healthcare, robotics, and automation, this comprehensive guide provides insights into how intelligent systems are revolutionizing efficiency, decision-making, and human-machine collaboration in the digital era.

This book:

- Serves as a critical resource for understanding and navigating the evolving landscape of intelligent technologies in Industry 5.0

- Provides necessary information on technological developments in the computer intelligence and their role in industrial revolution 5.0.

- Contains information on digital twin technology and its application in autonomous vehicles, augmented reality, advances in health care and drone technology to name a few.

It is primarily written for undergraduate, post-graduate students, as well as researchers working in the area of smart technologies which are an integral part of industrial revolution 5.0.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Sharma, Abhinav

Gupta, Mukul Kumar

C S, Meera

Rishiwal, Vinay

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

1. Resnet50 Architecture for Multiclass Brain Tumor Classification Using Fine-Tuning Technique. 2. Reinforcement Learning for Decision Making. 3. Metamaterial-Integrated Pattern Reconfigurable Antennas. 4. Computer Intelligence in Health Care Field: Transforming the practice of Medical Applications. 5. Harnessing the Potential of Reinforcement Learning for Effective Decision Strategies. 6. High performance Robotic arm controller using FPGA. 7. New-Age Innovative Fusion of Drones and Smart Technology. 8. Potential Applications, Challenges and Future Directions of Artificial Intelligence in Healthcare: A Review. 9. Empowering Autonomous Vehicles in Industry 5.0 with Digital Twin Technology. 10. Augmented Reality Reshaping Medical and Engineering Education.

Über Autor(innen)

Mukul Kumar Gupta completed his B. Tech. in Electronics and Instrumentation Engineering from UPTU Lucknow. He did his M. Tech. in control system from VJTI Mumbai and doctoral degree from the department of Electrical Engineering (Robotics and Control) of University of Petroleum and Energy Studies (UPES) Dehradun. Currently he is working as Associate Professor in the Department of Electronics and Instrumentation Engineering, Faculty of Engineering and Technology, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India. Prior to that he has worked at DMCE Mumbai, DIT Dehradun and UPES Dehradun. He has 18 years of experience in academics. His major research interests include nonlinear control, Robotics and Automation and Data driven control. Particularly, he is working on various application of robotic system in different areas. He has published more than 50 research papers in various journals and conferences of international repute. He has supervised 5 Ph. D. scholar and 18 M. Tech. scholar in the area of robotics and control. Dr. Mukul is also certified automation engineer from BOSCH Rexroth and is closely associated with several international journals as a reviewer and editorial board member.

Abhinav Sharma received his B. Tech. from H. N. B. Garhwal University, Srinagar, India, in 2009 and the M. Tech. and Ph. D. from Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India, in 2011 and 2016. He is working as an Associate Professor in the Department of Electrical and Electronics Engineering in University of Petroleum and Energy Studies, Dehradun. He has taught subjects such as data communication networks, microprocessor and embedded system, artificial intelligence and machine learning, communication systems. He has publications in many national and international journals and conferences. His field of interest includes adaptive array signal processing, artificial intelligence, and machine learning, optimization techniques and smart antennas.

Vinay Rishiwal is working as a professor in the department of computer science and information technology, faculty of engineering and technology, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India. He obtained B. Tech. degree in Computer Science and Engineering in the year 2000 from MJP Rohilkhand University (SRMSCET), India and received his PhD in computer science and engineering from Gautam Buddha Technical University, Lucknow, India, in the year 2011. He has 23 years of experience in academics. He is a senior member of IEEE, ACM and worked as convener, student activities committee, IEEE Uttar Pradesh Section, India. He has published more than 90 research papers in various journals and conferences of international repute. He also has 20 patents to his credit. He is a General/Conference chair of four international conferences namely ICACCA, IoT-SIU, MARC 2020 and ICAREMIT. His current research interests include wireless sensor networks, IoT, cloud computing, social networks and blockchain technology.

Meera C S is a scientist at the advanced remanufacturing and technology centre (ARTC), A*STAR Singapore. She served as the lead principle investigator for the remote-control excavator program, aiming to enhance safety and productivity in excavator operations in urban construction. With a strong background in Robotics Engineering, she has since been deeply involved in cutting-edge research and projects in construction robotics, haptics, industrial automation, artificial intelligence and deep neural networks. In her previous position as assistant manager (Computer Vision) at L&T smart world and communication, she was involved in tackling real-time challenges related to smart city and safe city applications. She has published in renowned journals and conferences in robotic systems.