机构

• 自动化研究所 [6]
• 地理科学与资源研究所 [4]
• 成都山地灾害与环境研... [2]
• 计算技术研究所 [2]
• 长春光学精密机械与物... [2]
• 数学与系统科学研究院 [2]
• 更多

采集方式

• OAI收割 [24]

内容类型

• 期刊论文 [20]
• 会议论文 [2]
• 学位论文 [2]

发表日期

• 2026 [1]
• 2025 [1]
• 2023 [1]
• 2022 [4]
• 2021 [1]
• 2020 [2]
• 更多

学科主题

• 环境科学::环境水质... [1]

筛选

浏览/检索结果: 共24条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Advances and challenges in multi-scale water environment system modeling: from process simulation to a novel simulator architecture 期刊论文  OAI收割 ECOLOGICAL MODELLING, 2026, 卷号: 514, 页码: 111498 作者:  Xia, Rui;  Chen, Sheng;  Ding, Yan;  Sun, Mingdong;  Wu, Yali   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Water ecological environment model  Multi-model coupling  Complex system simulators  Source-stream-network-sink  Artificial intelligence   Assessing Stream Network-Scale Variability of Streambed Sediment Median Grain Size (d50): Integrating Field Surveys and Geostatistical Modeling 期刊论文  OAI收割 WATER RESOURCES RESEARCH, 2025, 卷号: 61, 期号: 12, 页码: e2025WR041015 作者:  Chen, Xiaobing;  Yin, Jie;  Li, Yanzhong;  Chen, Li;  Chen, Dong   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/21 median grain size  stream network modeling  spatial heterogeneity   STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238 作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen   |  收藏  |  浏览/下载：95/0  |  提交时间：2023/01/03 Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction   A shape-guided deep residual network for automated CT lung segmentation 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 250, 页码: 10 作者:  Yang, Lei;  Gu, Yuge;  Huo, Benyan;  Liu, Yanhong;  Bian, Guibin   |  收藏  |  浏览/下载：79/0  |  提交时间：2022/09/19 Deep network architecture  Medical image analysis  Shape stream network  Residual unit  Attention fusion unit   6D Object Pose Estimation in Cluttered Scenes from RGB Images 期刊论文  OAI收割 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2022, 卷号: 37, 期号: 3, 页码: 719-730 作者:  Yang, Xiao-Long;  Jia, Xiao-Hong;  Liang, Yuan;  Fan, Lu-Bin   |  收藏  |  浏览/下载：47/0  |  提交时间：2023/02/07 two-stream network  6D pose estimation  fusion feature   A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 2, 页码: 1167-1181 作者:     |  收藏  |  浏览/下载：60/0  |  提交时间：2022/06/06 Grasping  Robot kinematics  Manipulators  Image segmentation  Deconvolution  Machine learning  Global deconvolution network (GDN)  robotic grasping  simultaneous detection and segmentation  two-stream grasping convolutional neural network (CNN)   Dual-stream spatio-temporal decoupling network for video deblurring 期刊论文  OAI收割 APPLIED SOFT COMPUTING, 2022, 卷号: 116, 页码: 16 作者:  Ning, Taigong;  Li, Weihong;  Li, Zhenghao;  Zhang, Yanfang   |  收藏  |  浏览/下载：48/0  |  提交时间：2022/08/22 Video deblurring  Decoupling learning  Dual-stream network  Motion compensation  3D CNNs   Two-stream network for infrared and visible images fusion 期刊论文  OAI收割 Neurocomputing, 2021, 卷号: 460, 页码: 50-58 作者:  Liu, Luolin;  Chen, Mulin;  Xu, Mingliang;  Li, Xuelong   |  收藏  |  浏览/下载：76/0  |  提交时间：2021/09/06 Image fusion  Infrared image  Thermal image  Two-stream network   Two-stream deep sparse network for accurate and efficient image restoration 期刊论文  OAI收割 COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 卷号: 200, 页码: 11 作者:  Wang, Shuhui;  Hu, Ling;  Li, Liang;  Zhang, Weigang;  Huang, Qingming   |  收藏  |  浏览/下载：82/0  |  提交时间：2020/12/10 Two-stream sparse network  Image restoration  Image super-resolution  Image denoising   Discriminative structure learning of sum-product networks for data stream classification 期刊论文  OAI收割 NEURAL NETWORKS, 2020, 卷号: 123, 页码: 163-175 作者:  Sun, Zhengya;  Liu, Cheng-Lin;  Niu, Jinghao;  Zhang, Wensheng   |  收藏  |  浏览/下载：62/0  |  提交时间：2020/03/30 Sum-product network  Discriminative structure learning  Data stream classification