机构

• 计算技术研究所 [8]
• 自动化研究所 [8]
• 地理科学与资源研究所 [1]
• 数学与系统科学研究院 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [19]

内容类型

• 期刊论文 [19]

发表日期

• 2024 [4]
• 2023 [4]
• 2022 [4]
• 2021 [6]
• 2019 [1]

学科主题

筛选

浏览/检索结果: 共19条，第1-10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作者升序作者降序题名升序题名降序发表日期升序发表日期降序 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：42/0  |  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   |  收藏  |  浏览/下载：19/0  |  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：29/0  |  提交时间：2024/07/03 Airspace Complexity Prediction  Air Traffic Management  Spatio-temporal Graph Neural Network  Graph Convolutional Neural Network  Attention Mechanism   Cognitive Fusion of Graph Neural Network and Convolutional Neural Network for Enhanced Hyperspectral Target Detection 期刊论文  OAI收割 IEEE Transactions on Geoscience and Remote Sensing, 2024, 卷号: 62, 页码: 1-15 作者:     |  收藏  |  浏览/下载：25/0  |  提交时间：2024/08/15 Attention mechanism  deep learning (DL)  graph neural network (GNN)  hyperspectral target detection(HTD)  sparse subspace clustering (SSC)   Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13 作者:  Cai, Shaofei;  Li, Liang;  Han, Xinzhe;  Huang, Shan   |  收藏  |  浏览/下载：30/0  |  提交时间：2024/05/20 Attention mechanism  feature disentangling  graph convolutional network (GCN)  multilabel recognition   DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11 作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/12/04 Convolutional denoising autoencoders (CDAEs)  global-attention mechanism  graph convolutional networks  human activity recognition (HAR)  multisensor modality  self-attention mechanism   A Multi-Granularity Heterogeneous Graph for Extractive Text Summarization 期刊论文  OAI收割 ELECTRONICS, 2023, 卷号: 12, 期号: 10, 页码: 12 作者:  Zhao, Henghui;  Zhang, Wensheng;  Huang, Mengxing;  Feng, Siling;  Wu, Yuanyuan   |  收藏  |  浏览/下载：35/0  |  提交时间：2023/11/17 graph neural network  heterogeneous graph  attention mechanism  implicit topic   Improving fraud detection via hierarchical attention-based Graph Neural Network 期刊论文  OAI收割 JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2023, 卷号: 72, 页码: 10 作者:  Liu, Yajing;  Sun, Zhengya;  Zhang, Wensheng   |  收藏  |  浏览/下载：29/0  |  提交时间：2023/02/22 Graph Neural Networks  Fraud detection  Attention mechanism   Exploring rich structure information for aspect-based sentiment classification 期刊论文  OAI收割 JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2022, 页码: 21 作者:  Zhu, Ling;  Zhu, Xiaofei;  Guo, Jiafeng   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/12/07 Aspect-based sentiment classification  Graph convolutional networks  Attention mechanism  Sentiment analysis   Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15 作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang   |  收藏  |  浏览/下载：59/0  |  提交时间：2022/06/06 Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems