This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Developed by Luke Ditria and his team at AutoEcology, the PV PI is a plug-and-play MPPT solar charging HAT designed for Raspberry Pi and other SBCs like the Orange Pi, Banana Pi, and NVIDIA Jetson.

Produce and power are both costly in the state. So researchers are testing ways to address both issues using the same land. 50 States, 50 Fixes Produce and power are both costly in the state. So ...

Variables with less than 50% missingness had missing values imputed using the mean, while features with 50% or more missingness were excluded. We develop a custom transformer architecture that learns ...

Abstract: Researchers are increasingly interested in renewable energy due to its environmental benefits and abundance. Solar photovoltaics (PV) are frequently utilized to generate electricity from ...

The PD.Charger-GSM v2.5 is an industrial-grade solar and LiFePo4 charger/controller with MPPT support, designed for 2–4 cell Li-Ion/LiFePo4 batteries. With various connectivity options and a ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Electrical power systems engineers need practical methods for predicting solar output power under varying environmental conditions of a single panel. By integrating an Arduino-based real-time data ...