Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...

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 ...

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...

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, ...

1 Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia. 2 Computer Science Department, Faculty of Science, Tanta University, Tanta, Egypt ...

A few years back, one of us sat in a school district meeting where administrators and educators talked about the latest student achievement results. The news was not good. Students’ test scores hadn’t ...

Welcome to the official repository of my internship journey with PalSoft for AI & Technology Solutions, where I successfully completed the training program titled: "Introduction to Deep Learning with ...

When watching a game of football, we only truly consume a snippet of the action. We are naturally drawn to the fun stuff occurring on the ball, but zoom out a little and there is beauty laid out in ...