no code implementations • 12 Mar 2024 • Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
These findings highlight the importance of considering temporal correlation in sensor data to improve the termination decision.
no code implementations • 12 Mar 2024 • Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
For an ECG classification task, it was able to terminate all samples early, reducing the mean inference energy by 74. 9% and computations by 78. 3%.
no code implementations • 11 Sep 2023 • Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Radar sensors offer power-efficient solutions for always-on smart devices, but processing the data streams on resource-constrained embedded platforms remains challenging.
no code implementations • 8 Mar 2021 • Max Sponner, Bernd Waschneck, Akash Kumar
As the usage of deep learning becomes increasingly popular in mobile and embedded solutions, it is necessary to convert the framework-specific network representations into executable code for these embedded platforms.