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.

Opis bibliograficzny
Główni autorzy: Rafee, Athar Noor Mohammad, Dutta, Antu, Haque, Afsan, Rahman, Asif, Barua, Aditta
Kolejni autorzy: Noor, Jannatun
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2024
Hasła przedmiotowe:
Edge AI
Embedded system
Decision tree
TinyML
Micro-controller
Resource-constraint
Wearable technology
Machine learning
Signal processing
Dostęp online:http://hdl.handle.net/10361/22912
Opis
Streszczenie:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

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