Detection of Degraded Forests in Guinea, West Africa, Using Convolutional Neural Networks and Sentinel-2 Time Series

Automated detection of gunshots in tropical forests using convolutional neural networks

Unsustainable hunting is one of the leading drivers of global biodiversity loss, yet very few direct

Breast Cancer Detection Using Convolutional Neural Networks

Breast cancer is prevalent in Ethiopia that accounts 34% among women cancer patients. The diagnosis

AI-based Pilgrim Detection using Convolutional Neural Networks

Pilgrimage represents the most important Islamic religious gathering in the world where millions of

Automatic detection of indris’ songs using convolutional neural networks

Real-time Detection of Diabetic Retinopathy Using Lightweight Convolutional Neural Networks for Mobile Health Applications

Introduction: Diabetic retinopathy (DR) is a leading cause of preventable blin

Fast animal detection in UAV images using convolutional neural networks

Illegal wildlife poaching poses one severe threat to the environment. Measures to stem poaching have