Edge-optimized machine learning models for real-time personalized health monitoring on wearables

Edge-optimized machine learning models for real-time personalized health monitoring on wearables

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Bibliografiska uppgifter
Huvudupphovsmän: Rafee, Athar Noor Mohammad, Dutta, Antu, Haque, Afsan, Rahman, Asif, Barua, Aditta
Övriga upphovsmän: Noor, Jannatun
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Edge AI
Embedded system
Decision tree
TinyML
Micro-controller
Resource-constraint
Wearable technology
Machine learning
Signal processing
Länkar:http://hdl.handle.net/10361/22912

Internet

http://hdl.handle.net/10361/22912

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