Brain-computer interface (BCI) technologies developed independently for 50 years to restore sight and touch are functionally identical, establishing a unified framework that accelerates ...

Abstract: To reduce traffic accidents caused by drowsy driving, computer vision techniques have been widely adopted to analyze facial cues and assess driver fatigue levels. However, existing methods ...

Abstract: Two-dimensional (2D) convolution is a fundamental operation widely employed in various fields such as image processing, computer vision, and medical imaging. Its capacity to extract ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Unstable emotions, particularly anger, have been identified as significant contributors to traffic accidents. To address this issue, driver emotion recognition emerges as a promising solution within ...

The rapid advancement in machine learning techniques and sensing devices over the past decades have opened new possibilities for the detection and tracking of objects, animals, and people. The ...

Hyperspectral images are a valuable tool for remotely sensing important characteristics of a variety of landscapes, including water quality and the status of marine disasters. However, hyperspectral ...

1 School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China. 2 Engineering Research Center of Mining Digital Ministry of Education, China University of Mining ...