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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results