In the digital age, data has become the driving force behind innovation and growth, transforming industries in its wake. As ...

Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

The analysis involves data collection from ryegrass exposed to Cu and Pb, followed by model development using various machine learning techniques, including random forest and XGBoost. Five-fold ...

In this module, we delve into the concept of clustering, a fundamental technique in data analysis and machine learning. Clustering involves grouping a set of objects in such a way that objects in the ...