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Self-Supervised Local Topology Representation for Random Cluster Matching 期刊论文
IEEE Robotics and Automation Letters, 2023, 页码: 1303 - 1310
作者:  Chang WK(常文凯)
Adobe PDF(2955Kb)  |  收藏  |  浏览/下载：134/35  |  提交时间：2023/04/25
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：226/27  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
A Dissemination Model Based on Psychological Theories in Complex Social Networks 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2022, 卷号: 14, 期号: 2, 页码: 519-531
作者:  Luo, Tianyi;  Cao, Zhidong;  Zeng, Daniel;  Zhang, Qingpeng
Adobe PDF(2330Kb)  |  收藏  |  浏览/下载：236/42  |  提交时间：2022/07/12
Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification 期刊论文
Remote Sensing, 2022, 期号: 14, 页码: 485
作者:  Li FM(李非墨);  Li SB(李帅博);  Fan XX(樊鑫鑫);  Li X(李雄);  Chang HX(常红星)
Adobe PDF(2512Kb)  |  收藏  |  浏览/下载：207/59  |  提交时间：2022/04/06
remote sensing scene classification  few shot learning  continual meta-learning  graph transformer  
Disaster Prediction Knowledge Graph Based on Multi-Source Spatio-Temporal Information 期刊论文
Remote Sensing, 2022, 期号: 14, 页码: 1214
作者:  Ge, Xingtong;  Yang, Yi;  Chen, Jiahui;  Li, Weichao;  Huang, Zhisheng;  Zhang, Wenyue;  Peng, Ling
Adobe PDF(7193Kb)  |  收藏  |  浏览/下载：247/53  |  提交时间：2022/03/31
disaster prediction knowledge graph  spatio-temporal  disaster dynamic prediction  multi-source data fusion  forest fire risk prediction  geological landslide risk prediction  
Conductive Particle Detection for Chip on Glass Using Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 1-10
作者:  Tao X(陶显);  Ma WZ(马文治);  Lu ZF(逯正峰);  Hou ZX(侯占新)
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：235/56  |  提交时间：2022/03/03
缺陷检测  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network 期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:  Tian YN(田雨农)
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：180/29  |  提交时间：2022/01/07
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Apple detection during different growth stages in orchards using the improved YOLOV3 model 期刊论文
Computers and Electronics in Agriculture, 2019, 期号: 157, 页码: 417-426
作者:  Tian YN(田雨农)
Adobe PDF(4028Kb)  |  收藏  |  浏览/下载：136/44  |  提交时间：2022/01/07
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
Journal of Sensors, 2019, 期号: 2019, 页码: 1-13
作者:  Tian YN(田雨农)
Adobe PDF(26755Kb)  |  收藏  |  浏览/下载：150/36  |  提交时间：2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：161/42  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation