A first overview of SnowEx ground-based remote sensing activities during the winter 2016-2017. - Ludovic Brucker; Christopher A. Hiemstra; Hans-Peter Marshall; Kelly Elder; Roger D. De Roo; Mohammad Mousavi; Francis Bliven; Walt Peterson; Jeffrey S. Deems; Peter Gadomski; Arthur Gelvin; Lucas P. Spaete; et al. (IGARSS, 2017)

Nasa Snowex'17 in SITU Measurements and Ground-Based Remote Sensing. - Ludovic Brucker; Christopher A. Hiemstra; Hans-Peter Marshall; Kelly Elder; Roger D. De Roo; Mohammad Mousavi; Francis Bliven; Walt Peterson; Jeffrey Deems; Peter Gadomski; Arthur Gelvin; Lucas P. Spaete; et al. (IGARSS, 2018)

Resolving the Influence of Forest-Canopy Structure on Snow Depth Distributions with Terrestrial Laser Scanning. - Zach Uhlmann; Nancy F. Glenn; Lucas P. Spaete; Christopher A. Hiemstra; Chris Tennant; Jim McNamara (IGARSS, 2018)

Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory. - Chris Tennant; Adam Carpenter; Tom Powers; Anna Shabalina Solopova; Lasitha Vidyaratne; Khan Iftekharuddin (CoRR, 2020)

Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. - Lasitha Vidyaratne; Adam Carpenter; Tom Powers; Chris Tennant; Khan M. Iftekharuddin; Md Monibor Rahman; Anna Shabalina Solopova (Frontiers Artif. Intell., 2021)

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information. - Lasitha Vidyaratne; Mahbubul Alam; Alexander Glandon; Anna Shabalina; Chris Tennant; Khan M. Iftekharuddin (IEEE Trans. Neural Networks Learn. Syst., 2022)

Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. - Md Monibor Rahman; Lasitha Vidyaratne; Adam Carpenter; Chris Tennant; Khan M. Iftekharuddin (IJCNN, 2023)

A smart alarm for particle accelerator beamline operations. - Chris Tennant; Brian Freeman; Reza Kazimi; Daniel Moser; Dan T. Abell; Jonathan P. Edelen; Joshua Einstein-Curtis (Mach. Learn. Sci. Technol., 2023)

Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac. - Steven Goldenberg; Kawser Ahammed; Adam Carpenter; Jiang Li; Riad Suleiman; Chris Tennant (CoRR, 2024)

Graph learning for particle accelerator operations. - Song Wang 013; Chris Tennant; Daniel Moser; Theo Larrieu; Jundong Li (Frontiers Big Data, 2024)

Accelerating cavity fault prediction using deep learning at Jefferson Laboratory. - Md Monibor Rahman; Adam Carpenter; Khan M. Iftekharuddin; Chris Tennant (Mach. Learn. Sci. Technol., 2024)

eLog analysis for accelerators: status and future outlook. - Antonin Sulc; Thorsten Hellert; Aaron Reed; Adam Carpenter; Alex Bien; Chris Tennant; Claudio Bisegni; Daniel Lersch; Daniel Ratner; David Lawrence; Diana McSpadden; Hayden Hoschouer; et al. (CoRR, 2025)