Abstract: This study predicts land use and land cover (LULC) changes in Karo District in 2030 using Sentinel-2 data and the Random Forest algorithm. LULC data from 2017 to 2023 was used to train the ...

What feature would you like to see? Hi! For the continued health of Codex and OpenAI tycoon it feels very important that it supports authentication for all major lab subscription. This includes of ...

This plugin integrates Amazon Q Developer with Neovim, providing Chat functionality, Inline Code Suggestions, and other Amazon Q capabilities. After installation, authenticate through IAM Identity ...

Abstract: Intelligent transportation systems are increasingly reliant on precise and efficient vehicle classification to support traffic management, safety applications, and infrastructure planning.