Researchers at Tohoku University have developed a data-driven AI framework that gives scientists a head start by suggesting ...

Seasonal performance variations demonstrated a consistent linear diurnal degradation trend across all ... Furthermore, we developed and implemented a data-driven predictive model using XGBoost ...

Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

This implementation follows the scikit-learn API design and can be used as a drop-in replacement for other scikit-learn linear models. Zou, H. (2006). The adaptive lasso and its oracle properties.

and linear regression model), the difference between dental age and chronological age was reduced to < 0.01 years. The purpose of this study is to compare (1) the dental age prediction ability of ...

The VIF values [1.079, 1.519] supported that there was no multicollinearity. Traditional regression, which is based on least squares algorithm, was chosen to explore the factors that could predict ...