Object detection models have been experiencing significant improvements over the years
due to advancements in deep learning techniques, increased availability of large-scale …

The utilization of evolutionary machine learning has demonstrated efficacy in addressing
challenges related to medical data mining. Medical data mining is an important branch of …

Chronic kidney disease (CKD) emerges as a global health problem with high morbidity and
mortality rates, and it induces other diseases. Patients often fail to notice these diseases …

Milk is the main dietary supply for every individual. High-quality milk shouldn't contain any
adulterants. Dairy products are sold everywhere in society. Yet, the local milk vendors use a …

In this study, we analyzed the performance of the morphological features (MF) and
morphological distance-related features (MDRF) in the classification of autism spectrum …

Abstract Chronic Kidney Disease (CKD) is increasingly recognised as a major health
concern due to its rising prevalence. The average survival period without functioning …

Background: Arti cial intelligence (AI) has several potential applications in medicine,
creating opportunities for reliable and evidence based decision making in disease …

In clinical decision-making for chronic disorders like chronic kidney disease, high variability
often leads to uncertainty and negative outcomes. Deep learning techniques have been …

The kidney is an essential organ inside the human body, playing a crucial role in several
physiological processes. One of its primary roles is the filtration of waste products and …

Abstract Chronic Kidney Disease is now one of the most severe illnesses that requires an
immediate diagnosis. Previous research has shown that machine-learning techniques are …