机构

• 自动化研究所 [28]
• 计算技术研究所 [15]
• 地理科学与资源研究所 [7]
• 力学研究所 [1]
• 数学与系统科学研究院 [1]
• 新疆理化技术研究所 [1]
• 更多

采集方式

• OAI收割 [54]

内容类型

• 期刊论文 [51]
• 会议论文 [2]
• 学位论文 [1]

发表日期

• 2025 [2]
• 2024 [10]
• 2023 [10]
• 2022 [12]
• 2021 [13]
• 2020 [5]
• 更多

学科主题

筛选

浏览/检索结果: 共54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提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach 期刊论文  OAI收割 SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106044 作者:  Wang, Peixiao;  Zhang, Hengcai;  Cheng, Shifen;  Zhang, Tong;  Lu, Feng   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/02/24 Spatiotemporal prediction  Spatiotemporal data missing  Causal dilatation convolution  Graph attention network   Predicting origin-destination flows by considering heterogeneous mobility patterns 期刊论文  OAI收割 SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106015 作者:  Zhao, Yibo;  Cheng, Shifen;  Gao, Song;  Wang, Peixiao;  Lu, Feng   |  收藏  |  浏览/下载：4/0  |  提交时间：2025/02/24 Origin-destination flow  Spatial interaction  Urban mobility  Spatial heterogeneity  Imbalanced data learning  Graph attention network   Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29 作者:  Wang, Chunyang;  Yang, Kui;  Yang, Wei;  Li, Runkui;  Qiang, Haiyang   |  收藏  |  浏览/下载：64/0  |  提交时间：2024/02/19 Residual network  graph attention network  super-pixel segmentation  habitat quality  driving force analysis   Local context attention learning for fine-grained scene graph generation 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 156, 页码: 13 作者:  Zhu, Xuhan;  Wang, Ruiping;  Lan, Xiangyuan;  Wang, Yaowei   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Fine-grained scene graph generation  Local context  Location attention network  Local context-consistent label transfer   DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection 期刊论文  OAI收割 NEURAL NETWORKS, 2024, 卷号: 179, 页码: 12 作者:  Fan, Cunhang;  Zhang, Hongyu;  Huang, Wei;  Xue, Jun;  Tao, Jianhua   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/09 Auditory attention detection  Electroencephalography (EEG)  Dynamical graph convolutional network  Self-distillation  Frequency domain   Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model 期刊论文  OAI收割 SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2024, 2024, 卷号: 14619, 页码: 242-251 作者:  Wang, Peixiao;  Zhang, Hengcai;  Lu, Feng   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/10/21 Spatiotemporal prediction  spatiotemporal data missing  causal dilatation convolution  graph attention network   STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 6, 页码: 2671-2685 作者:  Fang, Yuchen;  Qin, Yanjun;  Luo, Haiyong;  Zhao, Fang;  Zheng, Kai   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Market research  Forecasting  Roads  Time series analysis  Sensors  Correlation  Encoding  Contrastive learning  graph attention network  spatio-temporal data  traffic forecasting   GGMNet: Pavement-Crack Detection Based on Global Context Awareness and Multi-Scale Fusion 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 10, 页码: 1797 作者:  Wang, Yong;  He, Zhenglong;  Zeng, Xiangqiang;  Zeng, Juncheng;  Cen, Zongxi   |  收藏  |  浏览/下载：26/0  |  提交时间：2024/07/12 pavement cracks  deep learning  attention mechanism  graph reasoning  multi-scale features fusion   Predicting Vessel Trajectories Using ASTGCN with StemGNN-Derived Correlation Matrix 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 10, 页码: 20 作者:  Zhang, Ran;  Chen, Xiaohui;  Ye, Lin;  Yu, Wentao;  Zhang, Bing   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/06 ais  trajectory prediction  attention mechanism  spatio-temporal graph convolution   MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction 期刊论文  OAI收割 TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 卷号: 160, 页码: 20 作者:  Li, Biyue;  Li, Zhishuai;  Chen, Jun;  Yan, Yongjie;  Lv, Yisheng   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/07/03 Airspace Complexity Prediction  Air Traffic Management  Spatio-temporal Graph Neural Network  Graph Convolutional Neural Network  Attention Mechanism