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  4. Towards Battery-Free Machine Learning and Inference in Underwater Environments

Towards Battery-Free Machine Learning and Inference in Underwater Environments

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Author(s)
Zhao, Yuchen
•
Afzal, Sayed Saad
•
Akbar, Waleed
•
Rodriguez, Osvy
•
Mo, Fan
•
Boyle, David
•
Adib, Fadel
•
Haddadi, Hamed
Date Issued
March 9, 2022
Publisher
ACM|The 23rd International Workshop on Mobile Computing Systems and Applications
Citation
Zhao, Yuchen, Afzal, Sayed Saad, Akbar, Waleed, Rodriguez, Osvy, Mo, Fan et al. 2022. "Towards Battery-Free Machine Learning and Inference in Underwater Environments."
Version
Final published version
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/146279
DOI of Published Version
https://doi.org/10.1145/3508396.3512877
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