Expanding Applications of TinyML in Versatile Assistive Devices: From Navigation Assistance to Health Monitoring System Using Optimized NASNet-XGBoost Transfer Learning

Expanding Applications of TinyML in Versatile Assistive Devices: From Navigation Assistance to Health Monitoring System Using Optimized NASNet-XGBoost Transfer Learning

The healthcare sector receives a considerable amount of unprocessed data from wearable and portable devices. However, traditional cloud-based models used to handle this type of data can pose risks such as exposing sensitive patient data to a network environment and increasing latency due to data sto...

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Bibliographic Details
Main Authors: Sreenu Ponnada, Tan Kuan Tak, Pravin R. Kshirsagar, P. Srinivasa Rao, Abhinav Dayal
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
EWT-SAS
NASNet-XGBoost
TinyML
tyrannosaurus optimization
various disease prediction
wavelet soft threshold denoising
Online Access:https://ieeexplore.ieee.org/document/10750799/
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https://ieeexplore.ieee.org/document/10750799/

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