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Found 4 papers, 1 papers with code
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices
Optimal energy management is a challenging task due to the dynamic nature of the harvested energy and the battery energy constraints of the target device.
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
The proposed approach decreases the hypervector dimension by more than $32\times$ while maintaining or increasing the accuracy achieved by conventional HDC.
ECO: Enabling Energy-Neutral IoT Devices through Runtime Allocation of Harvested Energy
The proposed framework uses an efficient iterative algorithm to compute initial energy allocations at the beginning of a day.
MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors
Movement disorders, such as Parkinson's disease, affect more than 10 million people worldwide.
