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- research-articleJune 2023
HarvNet: Resource-Optimized Operation of Multi-Exit Deep Neural Networks on Energy Harvesting Devices
MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and ServicesPages 42–55https://doi.org/10.1145/3581791.3596845Optimizing deep neural networks (DNNs) running on resource-constrained devices, such as energy harvesting sensor devices, poses unique challenges due to the limited memory and varying energy conditions. Existing efforts have shown that deploying a ...
- research-articleAugust 2022
Voltage prediction of drone battery reflecting internal temperature
DAC '22: Proceedings of the 59th ACM/IEEE Design Automation ConferencePages 307–312https://doi.org/10.1145/3489517.3530448Drones are commonly used in mission-critical applications, and the accurate estimation of available battery capacity before flight is critical for reliable and efficient mission planning. To this end, the battery voltage should be predicted accurately ...