Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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 neural network (CNN)-based methods ...
Abstract: Multiple instance learning (MIL) has emerged as a prominent paradigm for processing the whole slide image with pyramid structure and giga-pixel size in digital pathology. However, existing ...
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 ...