Data Analysis for Neurodegenerative Disorders

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213,99 

Cognitive Technologies

ISBN: 9819921538
ISBN 13: 9789819921539
Herausgeber: Deepika Koundal/Deepak Kumar Jain/Yanhui Guo et al
Verlag: Springer Verlag GmbH
Umfang: viii, 267 S., 11 s/w Illustr., 68 farbige Illustr., 267 p. 79 illus., 68 illus. in color.
Erscheinungsdatum: 01.06.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

Offers an in-depth review of existing approaches used in the diagnosis of neurodegenerative diseasesPresents key concepts for using AI in the diagnosis of neurological disorders with machine learning methodsAddresses signal and medical image analysis with the integration of genetic data for processing neurological big data

Artikelnummer: 8884670 Kategorie:

Beschreibung

Autorenporträt

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 and the Ph.D. degree from the Institute of Automation, University of Chinese Academy of Sciences, Beijing, China. He was an awardee of CAS-TWAS Presidential Fellowship from 2014 to 2018. He was invited as "Foreign Experts" by Shandong Taian Administration of Foreign Expert Affairs. He has presented several papers in peer-reviewed conferences and has published numerous studies in science cited journals. His research interests include deep learning, machine learning, pattern recognition and computer vision. Yanhui Guo received his Ph.D. degree from the Department of Computer Science, Utah State University, USA. He was Research Fellow in the Department of Radiology at the University of Michigan and Assistant Professor at St. Thomas University. Dr. Guo is currently Associate Professor in the Department of Computer Science at the University of Illinois Springfield. Dr. Guo's research area includes computer vision, machine learning, data analytics, neutrosophic set, computer-aided detection/diagnosis and computer-assisted surgery. He has published 3 books, more than 110 journal papers and 40 conference papers, completed more than 10 grant-funded research projects, has 2 patents and worked as Associate Editor of different international journals and Reviewer for top journals and conferences. Dr. Guo successfully applied neutrosophic set into image processing in 2008 and has published many research works in this area. Dr. Guo was Co-founder and Chief Scientist of MedSights Tech Inc., a high technology company focusing on a computer-assisted surgery system. Dr. Guo was awarded a University Scholar in 2019, the university system's highest faculty honor, recognizing outstanding teaching and scholarship. Amira S. Ashour is Assistant Professor and Head of Department at Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, Egypt, since 2016. She is Head of the MICSCAS Research Laboratory

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