1st Edition
Brain Health and Lifestyle Preventing Neurodegeneration
Chapter 1. Brain Tumor Detection Using Image Segmentation Through Adaptive K-Means Algorithm
Vikas Maurya, Vikash Kumar Mishra, Abdul Aleem
Chapter 2. AI Driven IoT (AIIOT) In Brain Health Study
IR. Dr. Kazi Kutubuddin Sayyad Liyakat
Chapter 3. AI-Driven Speech Analysis for Early Detection of Alzheimer’s Disease: A Pathway Toward Brain Health & Neurodegeneration Prevention
Priya Parkhi, Samiksha Harjal
Chapter 4. AI-driven diagnostics for early detection of neurodegenerative diseases
Pawan Parihar, Santosh Kumar Henge, Ravleen Singh, Ambika Devi, Talluri Jyothi
Chapter 5. Implement a Brain-healthy Lifestyle for Long-term Well-being
Mamta Bahetra, Bhavneesh Saini
Chapter 6. Blockchain-Inspired Digital Twin Integrated with AI for Knee Osteoarthritis Treatment Using IoT
Sudhir Kumar Sangula, Siddique Ibrahim S P
Chapter 7. MindWeaver Framework: A pioneering AI and IoT-based Mental Health Analysis System
Kazi Kutubuddin Sayyad Liyakat, Heena T Shaikh
Chapter 8. Neuroplasticity and Cognitive Performance: Exploring Influential Factors and Effective Interventions
Anagha Oruganti, Srikanth Pallerla
Chapter 9. The Gut-Brain Connection and the Influence of the Microbiome on Cognition
Ravleen Singh, Pawan Parihar, Santosh Kumar Henge, Pratima Panigrahi, Neha Singh
Chapter 10. The Role of Sleep in Brain Detoxification
Dr. Preeti Pannu, Dr. Satjot Singh Dhillon
Chapter 11. XChaCha20-Enhanced Secure Forensic Architecture for Cloud Environments
Dr. Puspita Dash, Kavinila J, Ramya G, Mathumitha G
Chapter 12. Optimized Neuroimaging Preprocessing with CNNs for Improved Alzheimer’s and Mild Cognitive Impairment Detection
Sunil Kumar, Harish Kumar, Madan Singh
Chapter 13. AI-Driven Diagnostics for Early Detection of Neurodegenerative Diseases
Anish Das, Madan Singh, Prateek Singhal, Sujata Chauhan, Brajesh Shishodia
Chapter 14. Transforming Neurological Disorders: Deep Learning Approaches in Parkinson’s Disorder
Ritu Gautam, Prableen Kaur, Pooja Kaul
Chapter 15. Exercise and the human health: A Physical, Physiological and Psychological Perspective
Sanchit, Sujata Chauhan, Prateek Singhal
Chapter 16. AI-Enabled Early Detection and Lifestyle Interventions Management for Preventing Neurodegenerative Disorders
Shrutika Mishra, Priyanshu Mishra
Chapter 17. Strategic Business Models and Ecosystem Commercialization of Preventive Brain Health Technologies
Priyanshu Mishra, Shrutika Mishra
Biography
Mr. Prateek Singhal is an Assistant Professor in the School of Computer Science and Engineering at Chandigarh University, Lucknow, Uttar Pradesh. He is pursuing his Ph.D. in Medical Imaging from Maharishi University of Information Technology in Lucknow, India. He has published multiple research articles and spoken at prestigious conferences. His research and scholarly activities centre on the interface of machine learning, artificial intelligence, and healthcare applications. He holds several national and international patents, some of which are awarded. He also serves on the scientific advisory committee at his current institute. His research interests include image processing, medical imaging, human-computer interfaces, neurocomputing, and the Internet of Things.
Dr. Pramod Kumar Mishra serves as the Department Head and Professor in the Department of Computer Science & Engineering at Banaras Hindu University, Varanasi. He has completed his Ph.D. from APS University, Rewa, India, studying efficient shortest path algorithms for serial and parallel computers. He has more than thirty years of experience in the field and has published several research articles. He has received various awards and fellowships from well-reputed organisations. He has also received various grants from national and international government agencies. His areas of interest include AI and machine learning algorithms, data analytics, parallel computing, high-performance clusters, algorithm engineering (AE), high-performance AE, parallel computation, and computational complexity.
Dr. Bosco Paul Alapatt is an Associate Dean and Head of the School of Sciences at Christ Deemed to be University, Delhi-NCR. He holds a Ph.D. in Computer Science, an MBA in Human Resources, and an MCA. With over 21 years of teaching experience, his research interests lie in secured fibre-optical communication, as evidenced by his PhD topic on bounded probability-based compression with a tri-modal encryption algorithm. He has published extensively in areas such as image compression, network security, and machine learning applications in healthcare, including work on intrusion detection systems and novel encryption algorithms. He served as member of advisory board, editors and reviewers. He holds a patent for a speech recognition-based digital documentation system. Further, he is a member of several professional bodies, including IEEE, CSI, ACM, and ICSES, and has guided numerous student projects and dissertations.
Dr. Madan Singh is as an Associate Professor in Christ University, NCR Ghaziabad and has earned his doctoral degree in the specialization of Computer Engineering from JC Bose University, Faridabad (Haryana). He has over 18 years of teaching experience in different prestigious engineering colleges and universities across India. He has guided 38 undergraduate and 15 postgraduate students in various fields of Computer Science Engineering. His major areas of interest are agile software development, mobile Ad-hoc networks, trusted computing, computer security and machine learning. He has published more than 35 research papers in numerous reputed journals, written 3 book chapters and has secured 2 patents in his name. He is a lifetime member of I.S.T.E and Y.A.I.
