Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: The main challenge for Few-Shot Fine-Grained (FSFG) image classification is to learn discriminative feature representations with few labeled samples. In response to this challenge, ...

This repository provides an Android application for classifying traffic signs using a pre-trained Convolutional Neural Network (CNN) model. The app is designed for real-time traffic sign recognition ...

Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional ...

Official implementation of "Plant Disease Recognition from the Perspective of Bangladesh" (ECCE 2025). Features the BCDD dataset (5 crops, 19 classes) and a 99.33% accurate Ensemble Deep Learning ...