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

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 …

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 …

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

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

With the rapid assembly of big data health frameworks for early lung cancer detection, this
research provides solution for early and optimum diagnosis of lung cancer with high …

The ubiquity of high-quality video surveillance owes much to advancements in imaging
technology and data transmission. Presently, exposing an individual's face in photographs …

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 …

In the era of smart energy systems, maximizing the efficiency of solar power conversion is
more crucial than ever. This research presents a new solar power conversion system that …

The difficulties with existing certificate verification systems are often expensive, time-
consuming, and vulnerable to fraud addressed in this study. The professional and academic …