CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
Abstract: In this research, we propose a hybrid CNN and LSTM model for word-level Ethiopian sign language recognition. The recognition system has four major components: preprocessing, feature ...
Abstract: In recent years, interest in sign language recognition has continuously increased. However, recognition methods for exploiting the combination of RGB and depth data are limited, especially ...