受强制性开放获取政策约束的文章 - Di Wu了解详情
可在其他位置公开访问的文章：5 篇
Accuracy-constrained efficiency optimization and GPU profiling of CNN inference for detecting drainage crossing locations
Y Zhang, D Pandey, D Wu, T Kundu, R Li, T Shu
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
强制性开放获取政策： US National Science Foundation
Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high‐resolution digital elevation models
S Bhadra, R Li, D Wu, G Wang, B Rekabdar
Transactions in GIS 25 (5), 2596-2611, 2021
强制性开放获取政策： US National Science Foundation
Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach
D Wu, R Li, B Rekabdar, C Talbert, M Edidem, G Wang
GIScience & Remote Sensing 60 (1), 2230706, 2023
强制性开放获取政策： US National Science Foundation
Classification and feature extraction for hydraulic structures data using advanced cnn architectures
S Talafha, D Wu, B Rekabdar, R Li, G Wang
2021 Third International Conference on Transdisciplinary AI (TransAI), 137-146, 2021
强制性开放获取政策： US National Science Foundation
Exploring the use of decision tree methodology in hydrology using crowdsourced data
D Wu, EA Del Rosario, C Lowry
JAWRA Journal of the American Water Resources Association 57 (2), 256-266, 2021
强制性开放获取政策： US National Oceanic and Atmospheric Administration
出版信息和资助信息由计算机程序自动确定