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Research PaperOral

ML-Based Blood Glucose Level Detection Using Microwave-Based Sensors

IEEE EAIC 2025 — IEEE International Conference on Emerging Applications of Intelligence and ComputingTrack 1 - Machine Learning and Data ScienceDr. B.R. Ambedkar NIT Jalandhar, India

By Shaurya Punj

Accepted for oral presentation at IEEE EAIC 2025. The paper presents a non-invasive blood-glucose monitoring pipeline using microwave sensor signals and machine-learning regression, built toward a wearable, continuous-monitoring form factor.

IEEEBiomedical SensingMLNon-Invasive Monitoring
Acceptance Letter
ML-Based Blood Glucose Level Detection Using Microwave-Based Sensors — acceptance page 1
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