Accurate and timely detection and classification of lung abnormalities are crucial for effective
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …

Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

Rice demand is increasing with the rise in population worldwide, but this crop production is
negatively affected due to different fatal diseases. Reported rice disease diagnosis models …

In this study, we propose a novel approach called DCNN-ViT-GRU, which combines deep
Convolutional Neural Networks (CNNs) with Gated Recurrent Units (GRUs) and the Vision …

A crucial post-processing stage in numerous object detection methods is Non-Maximum
Suppression (NMS). The key idea of this technique is to rank the detected bounding boxes …

Weeds are unwanted and invasive plants that proliferate and compete for resources such as
space, water, nutrients, and sunlight, affecting the quality and productivity of the desired …

In the last decade, deep learning has enjoyed its spotlight as the game-changing addition to
smart farming and precision agriculture. Such development has been predominantly …

Diabetic retinopathy (DR) significantly burdens ophthalmic healthcare due to its wide
prevalence and high diagnostic costs. Especially in remote areas with limited medical …

As communication technologies and equipment evolve, smart assets become smarter. The
agricultural industry is also evolving in line with the implementation of modern …

Deer antler slices are highly valued in Chinese herbal medicine due to their medicinal
properties. However, the current process for classifying these slices is time-consuming and …