The correct diagnosis and staging of this complex inflammatory disease that majorly affects
the lungs, such as Sarcoidosis, are very important. Therefore, this research focuses on …

Objective The study aims to elucidate the mechanisms underlying plaque growth by
analyzing the variations in hemodynamic parameters within the plaque region of patients' …

Parkinson's disease (PD) must be identified early to provide prompt treatment and better
patient outcomes. This study looks into using machine learning methods in conjunction with …

To address the urgent need for intelligent systems capable of simultaneously identifying
COVID-19 cases and delineating lung infection regions in CT scan images, we introduce a …

This paper focuses on reducing technical and non-technical losses in low-voltage
distribution networks. The study is conducted in two stages, where the capacity of each …

Undetected intracranial injuries have the potential to lead to enduring cerebral impairments,
significant functional limitations, or fatality. The timely diagnosis and treatment of intracranial …

Route planning for mobile robots presents a complex challenge, mainly when designing
pathways in dynamic environments. This complexity arises from the robot's need to balance …

This research study presents a novel approach for detecting currency utilizing cutting-edge
technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract …

Every year, hydrocephalus affects many people, whether they are infants or adults with
higher incidence in pediatric group. This means that a large number of families affected by …

The search for the most outstanding smartphone camera has been a frequent topic of
conversation in the ever-changing world of technology. Through a thorough analysis, this …