机构

• 地理科学与资源研究所 [3]
• 自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [4]

发表日期

• 2023 [1]
• 2020 [2]
• 2019 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264 作者:  Yan, Shaohua;  Xu, De;  Tao, Xian   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Assembly model  demonstration learning (DL)  force-based control algorithm  hierarchical reinforcement learning (HRL)  peg-in-hole assembly   High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 92, 页码: 14 作者:  Li, Wang;  Niu, Zheng;  Shang, Rong;  Qin, Yuchu;  Wang, Li   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/03/18 Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest   High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 92, 页码: 14 作者:  Li, Wang;  Niu, Zheng;  Shang, Rong;  Qin, Yuchu;  Wang, Li   |  收藏  |  浏览/下载：12/0  |  提交时间：2021/03/18 Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest   County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model 期刊论文  OAI收割 SENSORS, 2019, 卷号: 19, 期号: 20, 页码: 21 作者:  Sun, Jie;  Di, Liping;  Sun, Ziheng;  Shen, Yonglin;  Lai, Zulong   |  收藏  |  浏览/下载：34/0  |  提交时间：2020/05/19 soybean  yield prediction  county-level  Google Earth Engine  CNN-LSTM