UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers

Traditional machine learning techniques are prone to generating inaccurate predictions when confronted with shifts in the distribution of data between the training and testing phases. This vulnerability can lead to severe consequences, especially in applications such as mobile healthcare. Uncertaint...

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Bibliographic Details
Main Authors: JIA, Hong, KWON, Young D., MA, Dong, PHAM, Nhat, QENDRO, Lorena, VU, Tam, MASCOLO, Cecilia
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Uncertainty
Event Detection
Efficiency
Microcontrollers
Numerical Analysis and Scientific Computing
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8739
https://ink.library.smu.edu.sg/context/sis_research/article/9742/viewcontent/UR2M.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8739
https://ink.library.smu.edu.sg/context/sis_research/article/9742/viewcontent/UR2M.pdf

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