This project provides an end-to-end solution for recognizing Arabic handwritten, printed text, and Arabic numbers from images and documents on a given template document. The system efficiently detects ...

Abstract: This study aims to evaluate the effectiveness of two classification algorithms-AutoEncoder and Recurrent Convolutional Neural Network (R-CNN)-in predicting face mask detection. To conduct ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: This article presents results on drone detection in a passive radar framework, which exploits 4G long-term evolution signals. The results are based on an experiment using a noncooperative ...