Mathematics, Applied Mathematics, and Statistics Faculty, Staff, Student Scholarship
This collection holds the creative and scholarly works of the Department of Mathematics, Applied Mathematics, and Statistics' faculty, staff, and students. It includes scholarly content such as journal articles, book chapters, conference papers, etc.
Submissions from 2024
Uncertainty Quantification in Machine Learning Models Via Gaussian Process Regression: A Comparative Study, Ayorinde E. Olatunde, Weiqi Yue, Pawan K. Tripathi, Roger H. French, and Anirban Mondal
Submissions from 2019
Data-Driven I–V Feature Extraction for Photovoltaic Modules, Xuan Ma, Wei-Heng Huang, Jenny Brynjarsdottir, Jennifer L. Braid, and Roger H. French