Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing approaches rely on ...

In this paper, we present a systematic review of the appearance-based gaze estimation methods using deep learning. First, we survey the existing gaze estimation algorithms along the typical gaze ...

Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning ...

This study aims to present the relationship of the constructivist approach to help inclusive education in primary school and specify which aspects of the constructivist learning environment are ...

Our deep learning system has shown significant clinical potential for the practical application of nasopharyngeal carcinoma diagnosis through endoscopic images in real-world settings. The system ...