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.

Detaylı Bibliyografya
Asıl Yazarlar:	Rafee, Athar Noor Mohammad, Dutta, Antu, Haque, Afsan, Rahman, Asif, Barua, Aditta
Diğer Yazarlar:	Noor, Jannatun
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2024
Konular:	Edge AI Embedded system Decision tree TinyML Micro-controller Resource-constraint Wearable technology Machine learning Signal processing
Online Erişim:	http://hdl.handle.net/10361/22912

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