Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis: Prediction and Diagnosis
About this ebook
Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis serves as a beacon of hope in the quest to revolutionize Parkinson's disease diagnosis and treatment. It unveils the remarkable potential of artificial intelligence (AI) and machine learning (ML) in remodeling the way we approach this debilitating condition. With a comprehensive exploration of AI's capacity to analyze speech patterns, brain imaging data, and gait patterns, this book offers a powerful solution to the challenges of early detection and accurate diagnosis.
About the author
Sachin Ahuja is presently serving Chandigarh University as Executive Director of Engineering. With over 2 decades of academic and research experience to his position he has held major positions at significant higher education institutions and has proven a strong dedication to knowledge advancement. Dr. Ahuja is an experienced mentor who has advised several ME and PhD students in cutting-edge subjects such as Artificial Intelligence, Machine Learning, and Data Mining. His scientific impact extends beyond mentorship, with contributions to edited books and articles published in peer-reviewed journals and over 150+ patents in latest technological interventions. Dr. Ahuja's participation in supported projects demonstrates his commitment to impactful research. His broad skills demonstrates an innovative leadership approach, promoting innovation and excellence in the ever-changing engineering and technology sector.
Anupam Baliyan is working as Dean Engineering in Geeta University India .He has more than 24 Years of Experience in Academic. He is MCA from Gurukul kangari University, MTech(CSE) and Ph.D.(CSE) from Banasthali University. He published more than 80 Research papers in various International Journal indexed at Scopus and SCI. He is Life time member of CSI and ISTE. He has been chaired many sessions in International Conferences across the INDIA. He also published 3 Authored and 10 Edited books with repute Publishers. He is also the Asst. Editor of some Journals those are Scopus indexed. His Research Area is Algorithms, Machine learning, Wireless networks and AI.
Sreenatha Anavatti finished his Ph.D. from Indian Institute of Science and worked as Assistant and Associate Professor at IIT, Bombay (Mumbai) before moving to Australia. He has worked on a number of projects of National importance during his stay at IIT for ISRO, ADA and DRDL towards the satellite, aircraft and missile program. His main research interests include dynamics and control of autonomous systems. In addition, he also works on Deep Learning and AI applications for the autonomous vehicles, Image processing, Time-series predictions and Feature Extractions. He has supervised more than 25 Ph.D. scholars. He has published more than 300 peer reviewed papers with a h-index of 38, including the top ones like IEEE transactions.
With Abhineet Anand's 23+ years of academic and administrative experience, his research includes the following field of endeavour: Cloud Computing, Cloud Security, Decision Tree, nearest neighbour method, Clustering, Rule induction, Optical Fibre Switching in Wavelength Multiplexing, Automata Theory. He has published more than 14 SCI, 53+ Scopus indexed papers, 20+ papers in International conference, 12 Intentional Journal, 3 National Journal, and 3 National Conference with 6 Book with prestigious publishers. [Editor]
