Convolutional neural networks (CNNs) have made resounding success in many computer
vision tasks such as image classification and object detection. However, their performance …

Leaf diseases have become more prevalent in recent years due to climate change,
increased growth of outdoor air pollutants, and global warming. They may severely damage …

Improvement of deep learning algorithms in smart agriculture is important to support the
early detection of plant diseases, thereby improving crop yields. Data acquisition for …

Although visual examination (VE) is the preferred method for caries detection, the analysis of
intraoral digital photographs in machine-readable form can be considered equivalent to VE …

Recent advances in terrestrial laser scanning (TLS) technology have enabled the automatic
capture of three‐dimensional vegetation structure at high resolution, but the scalability of …

A mobile-phone-based diagnostic tool, which most of the population can easily access,
could be a game changer in increasing the number of examinations of people with dental …

With the advancements of the Internet of Things (IoT) technology, applications of battery
powered machine vision based IoT devices is rapidly growing. While numerous research …

Diabetic Retinopathy (DR) is one of the leading causes of preventable blindness in the
working-age diabetic population in India and across the world. It may lead to permanent …

Materials research studies are dealing with a large number of images, which can now be
facilitated via image-based machine learning techniques. In this article, we review recent …

Microscopic observation of mosquito species, which is the basis of morphological
identification, is a time-consuming and challenging process, particularly owing to the …