C&EN

Identifying Balls Feature in a Large-Scale Laser Point Cloud of a Coal Mining Environment by a Multiscale Dynamic Graph Convolution Neural Network

College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China ...
IEEE

FE-CTGCN: Topology Channel Graph Convolution Network Based on Feature Enhancement for Drowsiness Driving Detection

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 ...
IEEE

Design of Approximate CNN-Based Convolutional Modules of Efficient Accelerators for Edge Devices

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 ...
Frontiers

Driver emotion recognition based on attentional convolutional network

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 ...
Frontiers

A hyperspectral image reconstruction algorithm based on RGB image using multi-scale atrous residual convolution network

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 ...
acm.org

ImageNet Classification with Deep Convolutional Neural Networks

Five ILSVRC-2010 test images in the first column. Remaining columns show the training images that produce feature vectors in the last hidden layer with the smallest Euclidean distance from the feature ...