Neural Rehab - Adhikary, Arpan; Arvin, Farshad; Bhowmick, Parijat; Das, Sima
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Neural Rehab explores deep learning's significant impact on healthcare through neural rehabilitation. Deep learning algorithms personalize rehabilitation plans by tailoring interventions to meet the unique needs of each individual. The book covers neural rehabilitation like stroke recovery, brain injuries, and neurological disorders.

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Produktbeschreibung
Neural Rehab explores deep learning's significant impact on healthcare through neural rehabilitation. Deep learning algorithms personalize rehabilitation plans by tailoring interventions to meet the unique needs of each individual. The book covers neural rehabilitation like stroke recovery, brain injuries, and neurological disorders.
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Autorenporträt
Sima Das is an Assistant Professor at Bengal College of Engineering and Technology, Durgapur, India, previously served at Camellia Institute of Technology and Management, Hooghly. She earned her M. Tech in Computer Science and Engineering in 2020 from Maulana Abul Kalam Azad University of Technology. Currently pursuing her Ph.D. at NIT Rourkela, her expertise spans Artificial Intelligence, Machine Learning, Deep Learning, IoT, Cybersecurity, Smart Healthcare, and Agriculture. Recognized with the 2021 Research Excellence Award, Sima is an Associate Member of the Institute of Engineers and a Professional Member of IEEE. She is a prolific author, contributing to books, chapters, papers, patents, and journals while actively engaging as an Editor and Reviewer for international publications. Parijat Bhowmick is an Assistant Professor, who specializes in Robust Control, Negative-Imaginary Systems, and Cooperative Control of Multi-agent Systems. He holds a Ph.D. from IIT Kharagpur and conducted post-doctoral research at the University of Manchester, UK. His research contributions include adaptive control schemes for vehicle platoons, distributed formation tracking, and secondary control for microgrids. Dr. Bhowmick has authored numerous papers in prestigious journals, notably IEEE Transactions, and received recognition for his work, including the Research Excellence Award. His expertise extends to Vibration Control, Smart Grids, and applications in Robotics. He actively contributes to advancing control theory and its practical applications. Farshad Arvin is an Associate Professor at Durham University, UK, earning his BSc in Computer Engineering in 2004, an MSc in Computer Systems Engineering in 2010, and a PhD in Computer Science in 2015. Formerly a Lecturer and Senior Lecturer in Robotics at the University of Manchester, he joined Durham in 2022. His extensive research spans Swarm Robotics, Autonomous Multi-agent Systems, and Bio-hybrid Systems. Farshad founded the Swarm and Computation Intelligence Laboratory in 2018, overseeing 3 Post-Doctoral Research Associates and 8 PGR students. Arpan Adhikary, an Assistant Professor at Haldia Institute of Technology, previously served at Bengal College of Engineering and Technology, Durgapur, India. He earned his M. Tech in Computer Science and Engineering in 2022 from Maulana Abul Kalam Azad University of Technology. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, IoT, Cybersecurity, and Smart Healthcare. He is a prolific author, contributing to books, chapters, and papers while actively engaging as a Reviewer for international publications.