This edited book provides a comprehensive exploration of the latest advancements and methodologies in signal processing for intelligent systems. The book serves as a multidisciplinary reference, integrating theoretical foundations, algorithmic developments, and real-world applications across diverse domains, including healthcare, agriculture, environmental monitoring, and human activity recognition. By consolidating recent advancements and cross-domain insights, this book bridges the gap between theory and practice in sensor signal processing for intelligent systems. It fosters interdisciplinary collaboration and stimulates further research in the development of more efficient and scalable intelligent systems for diverse applications.
Table of Contents:
Harnessing Synthetic Sensor Data using Generative Adversarial Network for Smarter Medical Diagnostics.- Signal Processing Innovations for Reliable Remote Patient Monitoring Systems.- IoMT-Based Smart Emergency Medical Service System: Technologies, Applications, and Challenges.- IoT and AI-driven Predictive Analytics in Healthcare: A Case Study on Pandemic Surveillance.- Explainable AI for Sensor-Based Medical Diagnostics.
About the Author :
Dr. Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India. He also served as ICCR Chair Visiting Professor at the Faculty of Computer and Information Sciences, Ain Shams University, Egypt. Dr. Raza has over 14 years of teaching and research experience. He has contributed over 150 peer-reviewed research articles. Dr. Raza has authored/edited 14 Books published by reputed publishers like Springer, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PLoS ONE, Guest Editor of npj Precision Oncology, Natural Product Communications, JoVE, and Mini-Reviews in Medicinal Chemistry. He has an active collaboration with the scientists from leading institutions of India and abroad. He is an Honorary Research Fellow of INIT International University, Malaysia. Dr. Raza has been featured in the list of World's Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier for the three consecutive years 2021, 2022, and 2023. His research interests lie in computational intelligence and applications.
Dr. Naeem Ahmad received his Ph.D. in Computer Science from Jamia Millia Islamia, (Central University), New Delhi. Dr. Ahmad is currently an Assistant Professor with the Department of Computer Applications, National Institute of Technology (NIT) Raipur, Raipur, India. Prior to working here, he also worked with Department of Computer Applications, Madanapalle Institute of Technology and Science, Madanapalle, India from 2018 to 2021, and School of Network Engineering, Jiangxi Ahead Software Vocational and Technical College, Nanchang, China from 2017 to 2018. He has over 10 years of teaching/research experience in various academic institutions. He has edited several books of international repute and has authored or co-authored more than 30 publications in journals and conferences. He is one of the editorial board members for one of the journals of repute and also serving as reviewers for various journals and conferences. His research interests lie in Deep Learning, Wireless Networks, Image Processing, and Signal Processing and its applications in Healthcare.
