Classifier (UML)

Study develops pre-course aptitude test to predict introductory programming performance and identify students needing additional support using machine learning models.

Foundation models outperform conventional satellite methods for tree species classification in mountain forests, achieving high accuracy with minimal training data but requiring nonlinear classifiers.