Intelligent Solutions for Cognitive Disorders

Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment. This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. Furthermore, Intelligent Solutions for Cognitive Disorders dives into the world of intelligent assistive technologies. Caregivers and technology specialists will discover innovative tools and devices designed to provide optimal support to individuals with cognitive impairments, enhancing their overall well-being. The book addresses a diverse range of cognitive disorders, from Alzheimer's disease and attention deficit disorder (ADHD) to epilepsy-related cognitive dysfunction and early-onset dementia. Each chapter provides a deep dive into the latest techniques and technologies for detection and prediction, ensuring that readers stay at the forefront of cognitive healthcare research. Emerging technologies take center stage in the latter part of the book, with discussions on wearable devices, sensors, and the integration of deep learning in clinical settings. Intelligent Solutions for Cognitive Disorders is a pivotal contribution to cognitive healthcare. It bridges the gap between academia and clinical practice, fostering collaboration among experts to develop practical, intelligent solutions. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care.

Dipti Jadhav is working as Associate Professor in the Department of Information Technology, Ramrao Adik Institute of Technology, affiliated to D Y Patil deemed to be University, Navi Mumbai, MH, India. She has 18 years of academic teaching and research experience in the areas of Image Processing, Computer Vision, Pattern Recognition, Software Engineering, Machine Learning and Artificial Intelligence. She has completed her Bachelors of Engineering in Information Technology from Shivaji University in the year 2004. She has completed her Masters in Computer Engineering from Mumbai University in the year 2012. She has done her Ph.D degree in Computer Engineering from Mumbai University in the year 2019. Her doctoral research is in the area of Video Summarization. She has 1 Australian Patent and 1 German Patent to her credit. She has over 30 research papers to her credit published in various peer reviewed and referred International Journals, Conferences and Book Chapters. She has completed 7 months Online Certification Course in "Advanced Certification Data Science & Artificial Intelligence", from Intellipaat and in association with IIT Chennai. She is currently guiding 3 Ph.D students in D Y Patil deemed to be University, Navi Mumbai. She is the member of ACM and ISTE. She has worked as reviewer for various IEEE conferences and reputed journals.

Pallavi Vijay Chavan is Associate Professor at Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, MH, India. She has been in academics for the past 19 years and working in the area of computing theory, data science and network security. In her academic journey, she published research work in the data science and security domain with reputed publishers including Springer, Elsevier, CRC Press and Inderscience. She has published 5 books, 15+ book chapters, 12+ international journal papers and 30+ international conference papers. 2 Phd Scholars completed their degree under her guidance. Presently she is guiding 5 Ph.D. research scholars in a similar domain. She completed her Ph.D. at Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, MH, India in 2017. She secured the first merit position in Nagpur University for the degree of B.E. in Computer Engineering in 2003. She is the recipient of research grants from UGC, CSIR and the University of Mumbai. She is acting as a reviewer for Elsevier, and Inderscience journals. Her firm belief is that "Teaching is a mission".

Sangita Santosh Chaudhari is currently working as Professor and Head in Information Technology Department at Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Nerul, Navi Mumbai. She has 24 years of experience in teaching at UG and PG level. She has done her doctorate from Indian Institute of Technology Bombay, Mumbai. Her doctoral research was in Geospatial Data Security. She has over 100 research papers to her credit published in peer reviewed and referred National and International Journals and Conferences. She authored textbooks titled Digital Forensics and Cyber Security and Laws. She has two edited books in the area of Image Processing and Geospatial Analytics on her accounts. Her areas of interest includes Digital Image Processing, Information Security, Geographical Information System, and High Performance Computing. She has been resource person for several workshops and short term training programs. She is IEEE Senior Member and active member of IEEE GRSS Mumbai Chapter.

Idongesit Williams is a Researcher at Southern Denmark University. He was previously an Assistant Professor at Center for Communication, Media and Information Technologies (CMI) located at Aalborg University Copenhagen. He holds a Bachelor in Physics, a Master degree in Information and Communications Technologies and a Ph.D. He has since 2010 researched into Knowledge Management, Organizational Learning, socioeconomic, socio-technical related to Information and Communications Technologies. He has authored and co-authored more than 30 research publications, including journal papers, books, book chapters, conference papers and magazine articles. He is the co-editor of the Books, The African Mobile Story, and the Handbook on ICT for developing countries:5G perspectives. He has organized conferences like the CMI annual conference and the CMI/GTUC conferences.