GSTDTAP

浏览/检索结果: 共9条,第1-9条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-Scale, Noisy UAV-Derived Map 科技报告
来源:Institute for Global Environmental Strategies. 出版年: 2021
作者:  Jozdani, Shahab;  Chen, Dongmei;  Chen, Wenjun;  Leblanc, Sylvain;  Prévost, Christian;  Lovitt, Julie;  He, Liming;  Johnson, Brian
收藏  |  浏览/下载:10/0  |  提交时间:2021/07/27
Exploring the Application of Machine Learning for Downscaling Climate Projections 科技报告
来源:RAND Corporation. 出版年: 2020
作者:  admin
收藏  |  浏览/下载:5/0  |  提交时间:2020/12/28
Mapping Poverty through Data Integration and Artificial Intelligence: A Special Supplement of the Key Indicators for Asia and the Pacific 科技报告
来源:Asian Development Bank. 出版年: 2020
作者:  admin
收藏  |  浏览/下载:23/0  |  提交时间:2020/09/14
Spatial Characterization of Urban Land Use through Machine Learning 科技报告
来源:World Resources Institute. 出版年: 2020
作者:  Peter Kerins;  Emily Nilson;  Eric Mackres;  Taufiq Rashid;  Brook GuzderWilliams;  Steven Brumby
收藏  |  浏览/下载:4/0  |  提交时间:2020/06/16
The Intelligence Edge: Opportunities and Challenges from Emerging Technologies for U.S. Intelligence 科技报告
来源:Center for Strategic & International Studies. 出版年: 2020
作者:  Brian Katz
收藏  |  浏览/下载:144/0  |  提交时间:2020/05/13
A machine learning-based surrogate model to approximate optimal building retrofit solutions 科技报告
来源:Centre for Energy Policy and Economics. 出版年: 2020
作者:  Emmanouil Thrampoulidis, Georgios Mavromatidis, Aurélien Lucchi and Kristina Orehounig
收藏  |  浏览/下载:0/0  |  提交时间:2021/11/30
Using a Neural Network to Determine the Hatch Status of the AERI at the ARM North Slope of Alaska Site 科技报告
来源:US Department of Energy (DOE). 出版年: 2012
作者:  Zwink, AB;  Turner, DD
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
Parameterization and analysis of 3-D radiative transfer in clouds 科技报告
来源:US Department of Energy (DOE). 出版年: 2012
作者:  Varnai, Tamas
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
cloud  solar radiation  three-dimensional  
ANNMD - Artificial Neural Network Model Developer 科技报告
来源:Center for International Climate and Environmental Research-Oslo (CICERO). 出版年: 2010
作者:  Smrekar, Jure
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/05
artificial neural networks  generic software  energy systems  modeling  Artificial Neural Network Model Developer  ANNMD  neural network modeling  VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551