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1 Ergebnisse
1
Real-time Non-invasive Blood Glucose Monitoring using Advan..:
, In:
2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
,
Jenitha Mary, L
;
Vijayashanthi, V.
;
Parameswari, M.
... - p. 1058-1066 , 2023
Link:
https://doi.org/10.1109/ICESC57686.2023.10193483
RT T1 <cTitle>2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)</cTitle>: T1 <Title>Real-time Non-invasive Blood Glucose Monitoring using Advanced Machine Learning Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10193483&Exemplar=1&LAN=DE A1 Jenitha Mary, L A1 Vijayashanthi, V. A1 Parameswari, M. A1 Venitha, E. A1 Mohanaprakash, T A A1 Hariharan, S. Dhanush YR 2023 K1 Deep learning K1 Computational modeling K1 Biological system modeling K1 Medical treatment K1 Real-time systems K1 Diabetes K1 Biosensors K1 Artificial Intelligence K1 COVID-19 K1 Internet of things K1 Smart watches K1 Bio active sensor K1 Hybrid K1 Body Vitals SP 1058 OP 1066 LK http://dx.doi.org/https://doi.org/10.1109/ICESC57686.2023.10193483 DO https://doi.org/10.1109/ICESC57686.2023.10193483 SF ELIB - SuUB Bremen
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