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This article describes a DIY business card designed with PCBs that uses NFC energy harvesting to power LED animations without batteries, involving MCU implementation and techniques like Charlieplexing.
This paper proposes two hardware-agnostic dynamic scheduling strategies (a model-free reinforcement learning agent and an on-the-fly approximated prediction method) for managing task execution in batteryless IoT devices with unknown workloads, and evaluates them against existing approaches using a simulation framework with real-world solar data.