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A Personalized, Non-Invasive Blood Glucose Prediction System Using a CNN-LSTM Model with a Sim-to-Real Transfer Learning Strategy
Engineering Technology and Applied Science Research, Vol. 16, Iss. 2, pp. 33382-33390
Deep Learning
Health Informatics
Publication Metrics
Category
Published
Type
International
ISSN
2241-4487, 1792-8036
Indexes
(Indexed In, Metrics)
Scopus
Q2
Scimago
Q2
Important Dates
Published Date
04 Apr 2026
Affiliation Details
Dr. Vishwanath Karad MIT World Peace University
Department of Electrical and Electronics Engineering
Authors
Komal Dandge
External
Manisha C. Kumawat
Faculty
Parul M. Jadhav
Faculty
External URLs
Publication Link
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105038388871&origin=inward
DOI Link
https://doi.org/10.48084/etasr.16217
A Personalized, Non-Invasive Blood Glucose Prediction System Using a CNN-LSTM Model with a Sim-to-Real Transfer Learning Strategy | Publications | TRACER