Integrating Intelligent Control Systems With Sensor Technologies
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Sensor technologies have numerous applications in a wide range of industries. Processes are optimized using sensors to track information and monitor conditions. Real-time sensors enhance industries, cities, and homes, and effective integration may further enhance these technologies by allowing for whole processes to be handled by robots and automated systems. Advancements in the abilities of these systems to manage complex tasks may result in safer, efficient workplaces without compromising quality. Integrating Intelligent Control Systems With Sensor Technologies explores recent advances in integrating intelligent control algorithms with state-of-the-art sensor technology. It leverages state-of-the-art sensors for controls and mechanisms, focusing on decision-making changes. Covering topics such as electromyography (EMG) sensors, communication protocols, and support vector machines (SVMs), this book is an excellent resource for engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Hamad, Abdulsattar Abdullah: - Abdulsattar Abdullah Hamad was born in Salah Al-Deen, Iraq, He received Ph.D. from Madurai Kamaraj University-(India), School of Mathematics, and working at University of Samarra, His area of interest includes Dynamic Systems, Topology, Big Data, Machines Learning, Internet of Things, cloud computing, computational complexity, data analysis, geographic information systems, mobile ad hoc networks, power-aware computing, storage management, Served Guest editor in several journals of Inderscience, River Publishers, IGI, Journal of Information Science and Engineering and some of Scopus Journals, Also, have published research articles in Springer, IEEE Access, SCI, SCIE, Scopus indexed peer-review journals. And two book chapters in Springer, He get two PATENTS with Titles "Artificial Intelligence Based Automated Material Management System-Application No 202141024010, "Blockchain-Based Statistical Market Place Data Analysis System for Data Consumers through Fair Exchange- Application No 202141041466, He is serving as a reviewer in More than +160 Journals.
Jha, Sudan: - Sudan Jha is a Senior member of IEEE and a Professor in the Department of Computer Science & Engineering at Kathmandu University with over 22 years of combined teaching, research, and industrial experience. Nepal. His previous affiliations include KIIT University, Chandigarh University, Christ University, etc. He was 'Technical Director' at Nepal Television, 'Principal' at Nepal College of IT, and 'Individual Consultant' at Nepal Telecom Authority. Prof. Jha is dedicated to advancing higher education quality and actively works on smart platforms. His extensive research portfolio comprises 80+ published research papers and book chapters in esteemed SCI, SCIE indexed journals and conferences. He serves as an Editor-in-Chief of an international journal and Guest Editor for SCIE/ESCI/SCOPUS indexed journals. With three patents to his name, he has authored and edited 6 books on cutting-edge topics in IoT, 5G, and AI, published by Elsevier, CRC, and AAP. His research has also secured funding for two international projects. Additionally, Prof. Jha contributes as a Keynote in more than 25 international conferences. In addition, he has also delivered faculty development programs, short-term training programs, workshops in national and international conferences, universities. He holds certifications in Microservices Architecture, Data Science, and Foundations of Artificial Intelligence. His primary research interests encompass Quality of Services in IoT enabled devices, Neutrosophic theory, and Neutrosophic Soft Set Systems.
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