IEEE

Depthwise Convolution with Winograd Algorithm for Efficient CNN Acceleration

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
IEEE

Recognition of Eye Diseases Based on Convolutional Neural Networks (CNN)

Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...
IEEE

DeepStress: CNN-GRU-Based Workplace Stress Detection using Facial Expressions and Body Posture

Abstract: Workplace stress is a significant concern, affecting employees' mental and physical well-being. This research proposes a CNN-GRU-based model for workplace stress detection using facial ...