机构

• 地理科学与资源研究所 [7]
• 自动化研究所 [2]
• 沈阳自动化研究所 [2]
• 植物研究所 [2]
• 计算技术研究所 [1]
• 重庆绿色智能技术研究... [1]
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采集方式

• OAI收割 [17]

内容类型

• 期刊论文 [15]
• SCI/SSCI论文 [1]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2022 [4]
• 2021 [3]
• 2020 [3]
• 2019 [1]
• 2017 [1]
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学科主题

• Ecology [1]
• Environmen... [1]
• Imaging Sc... [1]
• Remote Sen... [1]
• Water Reso... [1]

筛选

浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models 期刊论文  OAI收割 FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 卷号: 6, 页码: 1249300 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/01/04 extreme atmospheric temperature  artificial neural network  deep learning  CNN-GRU  CNN-LSTM  prediction  training algorithm  forest   Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444 作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue   |  收藏  |  浏览/下载：32/0  |  提交时间：2023/01/09 Contour feature learning  data augmentation  deep forest  fuzzy logic   Vertical patterns and controlling factors of soil nitrogen in deep profiles on the Loess Plateau of China 期刊论文  OAI收割 CATENA, 2022, 卷号: 215, 页码: 12 作者:  Wang, Yunqiang;  Zhang, Pingping;  Sun, Hui;  Jia, Xiaoxu;  Zhang, Chencheng   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/09/21 Deep vadose zone  Land use management  Nitrogen budget  Random forest model  China's Loess Plateau   A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng   |  收藏  |  浏览/下载：50/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model   Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269 作者:  Liu, Xiaoqiang;  Su, Yanjun;  Hu, Tianyu;  Yang, Qiuli;  Liu, Bingbing   |  收藏  |  浏览/下载：51/0  |  提交时间：2024/03/07 Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network   Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 261, 页码: 17 作者:  Zhang, Yihang;  Ling, Feng;  Wang, Xia;  Foody, Giles M.;  Boyd, Doreen S.   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/08/19 Forest disturbance  Small-scale clearing  Landsat and Sentinel-2  Deep learning  Downscaling   Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 8, 页码: 1456-1460 作者:  Nie, Xiangli;  Gao, Ruofei;  Wang, Rui;  Xiang, Deliang   |  收藏  |  浏览/下载：43/0  |  提交时间：2021/11/02 Vegetation  Forestry  Random forests  Feature extraction  Remote sensing  Data models  Training data  Deep forest  online multiview learning  polarimetric synthetic aperture radar (PolSAR)  remote sensing data classification   Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks 期刊论文  OAI收割 BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: 1, 页码: 17 作者:  Yang, Yingxi;  Wang, Hui;  Li, Wen;  Wang, Xiaobo;  Wei, Shizhao   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/12/01 Post-translational modification  Deep learning  Generative adversarial networks  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：29/0  |  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：25/0  |  提交时间：2021/03/18 Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest