Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

Computerized tomography (CT) is of great significance for the localization and diagnosis of
liver cancer. Many scholars have recently applied deep learning methods to segment CT …

In the era of frequently changing climatic conditions along with ever increasing world
population, it becomes imperative to ensure food security. The burden of biotic stresses …

Disease and pest are the main factors causing grape yield reduction. Correct and timely
identification of these symptoms are necessary for the vineyard. However, the commonly …

Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …

Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …

Tomato production is often threatened by the bites of several pests (mainly whiteflies and
cotton bollworms). Pests exist throughout the tomato growing season, and it is necessary to …

Semi-supervised learning has become a popular technology in recent years. In this paper,
we propose a novel semi-supervised medical image classification algorithm, called Pseudo …

Intradialytic hypotension (IDH) is a serious complication of hemodialysis (HD), with an
incidence of more than 20%. IDH induces ischemic organ damage and even reduces the …

In line with the global mission in achieving the net zero target through deployment of
renewable energy technologies and electrifying the transportation sector; precise and …