Abstract: We consider the use of polar codes in edge computing and communications applications, and to achieve energy efficiency, we propose implementation of neural network-based decoders for them ...
Abstract: Effective prediction of PM2.5 and PM10 levels is essential for preserving public health and informing governmental actions. Nevertheless, the unpredictable behavior of air fluxes makes it ...
A robust and efficient library for decoding EV1527 RF remote control signals using AVR microcontrollers. This library accurately decodes the transmitted 24-bit frame from common wireless remote ...
This project is built upon the EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding dataset. 64-channel EEG and peripheral physiological data from 60 participants. Seven ...