About the Book
The proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024) present a rich repository of cutting-edge research on the various applications of machine learning, deep learning and AI in cybersecurity, healthcare, agriculture and communication systems.
It highlights the revolutionary potential of data science in transforming traditional practices, improving efficiency and accuracy across diverse domains and addressing complex real-world challenges. These proceedings contain innovative neural-network models for agriculture that can predict tractor fuel consumption and optimize smart irrigation, besides suggesting greenhouse automation for enhanced agricultural productivity. It also provides a roadmap for IoT-based monitoring systems for asthma patients and machine learning approaches for early detection of diabetes, cancer and aquatic plant ailments. Through an array of practical examples and comparative studies, the book further highlights advancements in machine learning for enhancing palm vein authentication, combating fake news, keeping data safe and improving customer segmentation in e-commerce. The findings would be instrumental in combating critical global issues and foster a deeper understanding of the role of AI in image processing, cybersecurity, medical diagnostics and intelligent systems in the future.
This will be a highly interesting guide to researchers, data scientists and practicing professionals in the fields of artificial intelligence, machine learning and cybersecurity. It will also be of interest to healthcare professionals, agricultural scientists and technology enthusiasts in fostering global collaborations, exploring future challenges and opportunities and introducing state-of-the-art technologies to streamline processes.
Table of Contents:
Agriculture and Environmental Monitoring
Behavioural Studies
Drug Discovery and Molecular Docking
Earthquake and Natural Disaster Prediction
Education and Workforce Development
Electric Vehicles and Energy Systems
Financial Risk and Stock Market Analysis
Food
Healthcare and Medical Diagnosis
Human Resource Management
Machine Learning and Computational Techniques
About the Author :
S. Prasad Jones Christydass completed his B.E degree in Electronics and Communication Engineering in the year 2010 and M.E. degree in Communication Systems in 2013. He completed his Ph.D. in the area of Metamaterial Antenna from National Institute of Technology, Trichy in the year 2022. He has 10 years of Teaching Experience. Currently he is working as an associate professor in the Department of ECE, QIS College of Engineering and Technology, Andhra Pradesh, India. His area of interest includes Antenna, Metamaterial Structures, Dielectric Resonators, Liquid antenna, FSS and Machine Learning in antenna. He has published a book, 13 international journal papers and 15 international conference papers. He is a member of various professional bodies like IEEE and ISTE. He has also served as a reviewer for various journals.
Nurhayati Nurhayati received B.E., M.E., and D.E. degrees from Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, and a master’s and Ph.D. degree in telecommunication multimedia from the Department of Electrical Engineering, Faculty of Electrical Technology, ITS. She is currently a Lecturer with the Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya. She is also a Secretary with the Research Center, Institute for Research and Community Service, Universitas Negeri Surabaya. Her research interests include planar antenna, Vivaldi antenna, monopole antenna, wideband antenna, array antenna, radar antenna, and MIMO antenna. She has been a member of the Antennas and Propagation Society since 2015, and the IEEE Young Professional Member since 2018. In 2017, she received a scholarship from the International Publication Quality Improvement (PKPI), Kumamoto University, Kumamoto, Japan.
S. Kannadhasan is working as an Associate Professor and HoD in the department of Electronics and Communication Engineering at Study World College of Engineering, Coimbatore, Tamil Nadu, India. He completed his Ph.D. in the field of smart antennas at Anna University in 2022. He has thirteen years of teaching and research experience. He obtained his B.E. in ECE from Sethu Institute of Technology, Kariapatti, in 2009 and his M.E. in Communication Systems from Velammal College of Engineering and Technology, Madurai, in 2013. He obtained his M.B.A. in Human Resources Management from Tamil Nadu Open University, Chennai. He has published a book chapter, 110 papers in reputed international journals, and more than 250 papers in conferences. He also serves as a board member, reviewer, speaker, session chair, and member of the advisory and technical committees of various colleges and conferences. His areas of interest are smart antennas, digital signal processing, wireless communication, wireless networks, embedded systems, network security, optical communication, microwave antennas, electromagnetic compatibility and interference, wireless sensor networks, digital image processing, satellite communication, cognitive radio design, and soft computing techniques.
