Diabetes is a rapidly spreading illness that has devastating consequences on human
organs such as kidney, lungs, heart, eyes, etc. Diabetic Retinopathy (DR) is a condition …

Accurate fish individual recognition is one of the critical technologies for large-scale fishery
farming when trying to achieve accurate, green farming and sustainable development. It is …

The fact that insecticidal pests impair significant agricultural productivity has become one of
the main challenges in agriculture. Several prerequisites, however, exist for a high …

Assessing the quality of agricultural products holds vital significance in enhancing
production efficiency and market viability. The adoption of artificial intelligence (AI) has …

In highway management, intelligent vehicle detection and counting are becoming
increasingly important as an accurate estimation of traffic density on road congestion …

The accumulation of the blood leaks on the retina is known as diabetic macular edema
(DME), which can result in irreversible blindness. Early diagnosis and therapy can stop …

This study aims to propose a novel deep learning framework, ie, efficient DenseNet, for
identifying diabetic retinopathy severity levels in retinal images. Diabetic retinopathy is an …

This study employs transfer learning using a fine-tuned pretrained EfficientNetB0
convolutional neural network (CNN) model to accurately detect the various stages of …

In recent years, eye diseases in diabetic patients are one of the most common has been
diabetic retinopathy (DR). which leads to complete blindness in advanced stages. Diabetes …

Objective The study aims to propose an accurate labelling method of interscapular BAT
(iBAT) in rats using dynamic MR fat fraction (FF) images with noradrenaline (NE) stimulation …