| Automated extraction of energy systems information from remotely sensed data: A review and analysis S Ren, W Hu, K Bradbury, D Harrison-Atlas, LM Valeri, B Murray, ... Applied Energy 326, 119876, 2022 | 21 | 2022 |
| What you get is not always what you see—pitfalls in solar array assessment using overhead imagery W Hu, K Bradbury, JM Malof, B Li, B Huang, A Streltsov, KS Fujita, B Hoen Applied Energy 327, 120143, 2022 | 13 | 2022 |
| Wind turbine detection with synthetic overhead imagery W Hu, T Feldman, YJ Ou, N Tarn, B Ye, Y Xu, JM Malof, K Bradbury 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4908 …, 2021 | 2 | 2021 |
| Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning W Hu, B Alexander, W Cathcart, A Hu, V Nair, L Zuo, J Malof, L Collins, ... IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 2 | 2020 |
| Synthetic Imagery Aided Geographic Domain Adaptation for Rare Energy Infrastructure Detection in Remotely Sensed Imagery W Hu, T Feldman, E Lin, J Moscoso, YJ Ou, N Tarn, B Ye, W Zhang, ... NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning, 2021 | 1 | 2021 |
| Deep Learning Time-Dependent Hagen-Poiseuille Flow N Prakash, W Hu, A Barati Farimani APS Division of Fluid Dynamics Meeting Abstracts, L23. 005, 2019 | | 2019 |
Jordan M MalofAssistant Professor, University of MontanaVerified email at duke.edu
