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Research PaperPoster

Wearable IoT-Based Breast Tumor Classification Using Raspberry Pi and Hybrid ML/DL Models

IEEE EAIC 2025 — IEEE International Conference on Emerging Applications of Intelligence and ComputingTrack 9 - Biomedical Engineering and Healthcare TechnologiesDr. B.R. Ambedkar NIT Jalandhar, India

By Shaurya Punj

Accepted for poster presentation at IEEE EAIC 2025. The paper proposes a wearable IoT device running hybrid ML/DL models on a Raspberry Pi for on-device breast tumor screening, targeting low-resource clinical settings.

IEEEIoTEdge AIMedical ImagingRaspberry Pi
Acceptance Letter
Wearable IoT-Based Breast Tumor Classification Using Raspberry Pi and Hybrid ML/DL Models — acceptance page 1
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