Diabetes is a growing health concern in develo** countries, causing considerable
mortality rates. While machine learning (ML) approaches have been widely used to improve …

Lubricants for compressor oil significantly enhance the energy efficiency and performance of
heat pump (HP) systems. This study compares prognostic machine learning (ML) models …

The diagnosis of diabetes, a prevalent global health condition, is crucial for preventing
severe complications. In recent years, there has been a growing effort to develop intelligent …

This study incorporates two unique machine learning algorithms, Huber regression and
Light Gradient Boosting Machines (LGBM), for estimating ship consumption of fuel. These …

Major depressive disorder (MDD) poses a significant challenge in mental healthcare due to
difficulties in accurate diagnosis and timely identification. This study explores the potential of …

The capability to accurately detect web application attacks, especially in a timely fashion, is
crucial but remains an ongoing challenge. This study provides an in-depth evaluation of 19 …

Diabetes is a chronic disease, which is characterized by abnormally high blood sugar levels.
It may affect various organs and tissues, and even lead to life-threatening complications …

Reliable forecasting of cardiovascular disease (CVD) outcomes is crucial for efficient patient
management. While machine learning (ML) holds promise for disease prediction …

Diabetes mellitus (DM) is a chronic metabolic disorder that affects the way the body
processes blood glucose levels. Within the medical field, machine learning (ML) has …

The study investigates the intricate influence of gender and age variability in individuals
diagnosed with diabetes, aiming to gain a comprehensive understanding of the diverse …