The remarkable growth of machine learning has shown that it can perform at an expert level
in a number of difficult tasks, such as medical decision-making and image processing. The …

In the realm of pulmonary medicine, prognostic assessment of Idiopathic Pulmonary Fibrosis
(IPF) poses a significant challenge, necessitating advancements in predictive analytics. This …

Dynamic control method of construction cost based on fuzzy neural network Page 1 Automatika
Journal for Control, Measurement, Electronics, Computing and Communications ISSN: (Print) …

Developing a robust and accurate lung cancer (LCa) classification model is essential in
medical diagnostics. With its high global prevalence and propensity for latent manifestation …

In order to diagnose DR by utilizing the grayscale intensity and texture information extracted
from the fundus image, deep learning approach is used. The writers came up with the …

Due to resource shortages and device diversity, energy efficiency and scalability issues are
critical in the Internet of Things (IoT) space. Managing edge resources consistently to …

The agricultural industry is critical to guaranteeing food security and sustainability, yet
technological improvements have created new opportunities for enhancing farming …

A lot of research shows that there could be several reasons why the duality of agricultural
products has been reduced. Plant diseases make up one of the most important components …

Abstract Machine learning algorithms are used in various real-time applications, where
security is one of the major problems. Security is applied in various aspects of the …

Hepatocellular carcinoma (HCC) is an extremely fatal malignancy that strikes women
worldwide. Early diagnosis boosts available treatments significantly, which reduces death …