Purpose Knee extension deficits complicate recovery from ACL injury and reconstruction;
however, the incidence of knee extension loss is not well defined. The aim of this review was …

Gastric Cancer is the most common malignancy of the digestive tract, which is the third
leading cause of cancer-related mortality worldwide. The early prognosis methods …

The contribution of this study is twofold. First, it calculates the depth, intensity, and degrees
of energy poverty in develo** countries using a multidimensional approach. The data …

This study was aimed to investigate the predictive value of the radiomics features extracted
from pericoronaric adipose tissue—around the anterior interventricular artery (IVA)—to …

Sufficient good features are indispensable to train well-performed machine learning models.
However, it is com-mon that good features are not always enough, where feature …

The exponential growth of data and increased reliance on interconnected systems have
heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) …

Machine learning algorithms are designed to capture complex relationships between
features. In this context, the high dimensionality of data often results in poor model …

Non-intrusive load monitoring (NILM) is a process of estimating operational states and
power consumption of individual appliances, which if implemented in real-time, can provide …

Diagnosing depression at an early stage is crucial and majorly depends on the clinician's
skill. The present work aims to develop an automated tool for assisting the diagnostic …

Churn rate describes the rate at which customers abandon a product or service. Identifying
churn‐risk customers is essential for telecom sectors to retain old customers and maintain a …