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.

Bibliografiske detaljer
Main Authors: Rafee, Athar Noor Mohammad, Dutta, Antu, Haque, Afsan, Rahman, Asif, Barua, Aditta
Andre forfattere: Noor, Jannatun
Format: Thesis
Sprog:English
Udgivet: Brac University 2024
Fag:
Edge AI
Embedded system
Decision tree
TinyML
Micro-controller
Resource-constraint
Wearable technology
Machine learning
Signal processing
Online adgang:http://hdl.handle.net/10361/22912
Beskrivelse
Summary: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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