Data Analysis for Neurodegenerative Disorders

Chapter 1. Introduction to neurodegenerative disorders.- Chapter 2. Neurodegenerative Disorders and available therapies: A review.- Chapter 3. Role of peptides in Neurodegenerative disorders by using Machine Learning techniques.- Chapter 4. Deep learning based classification of neurodegenerative disorders.- Chapter 5. EEG Processing and Machine Learning based Categorization of Epilepsy.- Chapter 6. An Automatic Edge-Region Based Level set Method for MRI Brain Image Segmentation.- Chapter 7. Multimodal Medical Image Fusion for identification of Neurodegenerative disorders Using Neutrosophic CNN Technique.- Chapter 8. Automated EEG temporal lobe signal processing for diagnosis of Alzheimer disease.- Chapter 9. Alzheimer Disease Identification based on the EEG Processing and Machine Learning.- Chapter 10. Deep Learning Models for Automatic Classification and Prediction of Alzheimer's Disease.- Chapter 11. Machine learning models for Alzheimer Disease Detection using medical images.- Chapter 12. Transfer learning for precise classification of Parkinson disease from EEG signals.- Chapter 13. Analysis of Convolutional Neural Network Based Architecture for Parkinson.- Chapter 14. Challenges and Possible research directions.

Deepika Koundal is currently associated with the University of Petroleum and Energy Studies, Dehradun. She received the recognition and honorary membership from Neutrosophic Science Association from University of Mexico, USA. She is also selected as Young Scientist in the 6th BRICS Conclave by NIAS-DST in 2021. She received the master's and Ph.D. degrees in computer science & engineering from the Panjab University, Chandigarh, in 2015. She received the B.Tech. degree in computer science & engineering from Kurkushetra University, India. She is the awardee of Research Excellence Award given by Chitkara University in 2019. She has published more than 50 research articles in reputed SCI and Scopus indexed journals, conferences and two books. She is currently Guest Editor in Computers & Electrical Engineering, Internet of Things Journals (Elsevier) and IEEE Transaction of Industrial Informatics, Computational and Mathematical Methods in Medicine, MDPI Sensor, Hindawi and CMC. She is also serving as Associate Editor in Heliyon, IET Image Processing and International Journal of Computer Applications. She also has served on many technical program committees as well as organizing committees and invited to give guest lectures and tutorials in faculty development programs, international conferences and summer schools. Her areas of interest are Artificial Intelligence, Wireless Sensors, IoT, Biomedical Imaging and Signals, Soft Computing and Machine Learning/Deep Learning. She has also served as Reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi, Wiley and Sage.
Deepak Kumar Jain works as Assistant Professor at Institute of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China. He received the Bachelor of Engineering degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, India, in 2010, the Master of Technology degree from the Jaypee University of Engineering and Technology, India, in 2012 andthe Ph.D. degree