Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection: Algorithms, Frameworks, and Applications for Sustainable Healthcare

Author:   Suparna Biswas
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032092403


Pages:   146
Publication Date:   03 January 2026
Format:   Hardback
Availability:   Not yet available   Availability explained
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Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection: Algorithms, Frameworks, and Applications for Sustainable Healthcare


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Author:   Suparna Biswas
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032092403


ISBN 10:   303209240
Pages:   146
Publication Date:   03 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Dr. Suparna Biswas is an Associate Professor in the Department of Computer Science & Engineering in Maulana Abul Kalam Azad University of Technology, WB. She has received ME and Ph.D from Jadavpur University, West Bengal. She has been an ERASMUS MUNDUS Post Doctoral research fellow in Northumbria University, Newcastle, UK. She has successfully executed two funded research projects in the capacity of PI and Co-PI in the area of IoT based smart healthcare and security. She has been Lead Editor of an edited book entitled “Internet of Things based Smart healthcare” published by Springer in 2020. She has organized International Conference as Lead organizing chair, TPC member, acted as Session Chair, delivered Tutorial Lectures in International Conferences, and Invited talks in FDPs, Seminars etc. She is member of Board of Studies, Selection Committee member, PhD research Committee member etc. in different Universities. She has co-authored a number of research papers published in reputed journals including Q1 journals, conferences and book chapters of international repute. She has guided successfully 6 PhD scholars in the domain of smart healthcare and security. She has been awarded with two International patents for innovation in development of a Smart Health Monitoring Assistance prototype for Parkinson’s disease people. This innovation has been covered by National level reputed English news daily. Her areas of research interests are Internet of Things, Machine Learning, Network Security, Smart Healthcare, Smart Agriculture etc. She is a senior member of IEEE.

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