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.

Dades bibliogràfiques
Autors principals: Rafee, Athar Noor Mohammad, Dutta, Antu, Haque, Afsan, Rahman, Asif, Barua, Aditta
Altres autors: Noor, Jannatun
Format: Thesis
Idioma:English
Publicat: Brac University 2024
Matèries:
Edge AI
Embedded system
Decision tree
TinyML
Micro-controller
Resource-constraint
Wearable technology
Machine learning
Signal processing
Accés en línia:http://hdl.handle.net/10361/22912

Internet

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

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