has been cited by the following article(s):
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[1]
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Foretelling Diabetic Disease Using a Machine Learning Algorithms
2022 International Conference for Advancement in Technology (ICONAT),
2022
DOI:10.1109/ICONAT53423.2022.9726070
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[2]
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Portable Non-Invasive Glucometer using Near-Infrared Sensor and Raspberry Pi
2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM),
2020
DOI:10.1109/ELTICOM50775.2020.9230496
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[3]
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Removing subject dependencies on Non-Invasive Blood Glucose Measurement using Hybrid Techniques
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
2019
DOI:10.1109/EMBC.2019.8856391
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[4]
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Design and Implementation of a Wearable System for Non-Invasive Glucose Level Monitoring
2019 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON),
2019
DOI:10.1109/BECITHCON48839.2019.9063193
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[5]
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Towards design and development of noninvasive glucose monitoring system
2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT),
2017
DOI:10.1109/ICIEECT.2017.7916529
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[6]
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Non-invasive blood glucose estimation using Near-Infrared spectroscopy based on SVR
2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC),
2017
DOI:10.1109/ITOEC.2017.8122366
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