This study presents two machine learning models, namely, the light gradient boosting
machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting …

Automatic methods for the detection of pathological voice from healthy speech can be
considered as potential clinical tools for medical treatment. This study investigates the …

Foreign Exchange (Forex) is the largest financial market in the world. The daily trading
volume of the Forex market is much higher than that of stock and futures markets. Therefore …

With increasing focus on privacy protection, alternative methods to identify vehicle operator
without the use of biometric identifiers have gained traction for automotive data analysis. The …

This paper revisits building machine learning algorithms that involve interactions between
entities, such as those between financial assets in an actively managed portfolio, or …

X-band weather radar can provide high spatial and temporal resolution data, which is
essential to precipitation observation and prediction of mesoscale and microscale weather …

In this paper, a text-based characterization combined with numerical features for Social
Media Headline Prediction (SMHP) is proposed. Description of images, users' emotions and …

With an increase of stress in work and study environments, mental health issue has become
a major subject in current social interaction research. Generally, researchers analyze …

The anode effect (AE) often occurs in the aluminum electrolysis process, which seriously
affects production efficiency and causes large energy consumption. Therefore, predicting AE …

In this paper, based on the comprehensive information of companies, 612 characteristic
parameters are extracted and mined, and two prediction models of the categories of lawsuits …