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.

Bibliografische gegevens
Hoofdauteurs: Rafee, Athar Noor Mohammad, Dutta, Antu, Haque, Afsan, Rahman, Asif, Barua, Aditta
Andere auteurs: Noor, Jannatun
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2024
Onderwerpen:
Edge AI
Embedded system
Decision tree
TinyML
Micro-controller
Resource-constraint
Wearable technology
Machine learning
Signal processing
Online toegang:http://hdl.handle.net/10361/22912

Internet

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

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