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1 Ergebnisse
1
Review on Non-Invasive Electromagnetic Approaches for Blood..:
, In:
2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
,
Mansour, Esraa
;
Shahin, Mohamed
;
Ashraf, Abdelrahman
... - p. 273-276 , 2023
Link:
https://doi.org/10.1109/JAC-ECC61002.2023.10479620
RT T1 <cTitle>2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)</cTitle>: T1 <Title>Review on Non-Invasive Electromagnetic Approaches for Blood Glucose Monitoring Using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10479620&Exemplar=1&LAN=DE A1 Mansour, Esraa A1 Shahin, Mohamed A1 Ashraf, Abdelrahman A1 Atta, AbdelAzim A1 Allam, Ahmed A1 Zewail, Rami A1 Abdel-Rahman, Adel B. YR 2023 K1 Training K1 Reviews K1 Computational modeling K1 Machine learning K1 Transforms K1 Predictive models K1 Microwave communication K1 Machine Learning (ML) K1 Non-invasive Glucose Monitoring Sensors K1 Debye Model K1 CSRR K1 Metamaterial K1 SVM K1 Linear Regression K1 Decision trees K1 Random Forest SP 273 OP 276 LK http://dx.doi.org/https://doi.org/10.1109/JAC-ECC61002.2023.10479620 DO https://doi.org/10.1109/JAC-ECC61002.2023.10479620 SF ELIB - SuUB Bremen
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