2 papers
cs.SE2024
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems
Mohammad Hossein Amini, Shiva Nejati
Deep Neural Networks (DNNs) for Autonomous Driving Systems (ADS) are typically trained on real-world images and tested using synthetic simulator images. This approach results in tr…
cs.LG2024
Naïve Bayes and Random Forest for Crop Yield Prediction
Abbas Maazallahi, Sreehari Thota, Naga Prasad Kondaboina +8
This study analyzes crop yield prediction in India from 1997 to 2020, focusing on various crops and key environmental factors. It aims to predict agricultural yields by utilizing a…