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Titlebook: Spatial Data and Intelligence; 4th International Co Xiaofeng Meng,Xiang Li,Yafei Li Conference proceedings 2023 The Editor(s) (if applicabl

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31#
發(fā)表于 2025-3-26 21:21:09 | 只看該作者
32#
發(fā)表于 2025-3-27 04:18:10 | 只看該作者
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發(fā)表于 2025-3-27 19:33:49 | 只看該作者
Li Xu,Xiaohui Chen,Bowei Wen,Jingzhen Ma,Yujun Wang,Qing Xu can provide useful insight to researchers, professors, and graduate students in the areas of multimedia and service-oriented computing, as it reports novel research work on challenging open issues in the area 978-3-642-24256-4978-3-642-02937-0Series ISSN 1860-949X Series E-ISSN 1860-9503
37#
發(fā)表于 2025-3-28 00:45:05 | 只看該作者
APADGCN: Adaptive Partial Attention Diffusion Graph Convolutional Network for?Traffic Flow Forecastican dynamically capture node relationships and model spatial dependency, and enhance the aggregation ability of low-order information; 3) the temporal correlation modeling which models long-term time dependencies using convolution and gating. The final result is obtained by the weighted fusion of th
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發(fā)表于 2025-3-28 07:06:33 | 只看該作者
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發(fā)表于 2025-3-28 14:29:06 | 只看該作者
Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature and yacht, and stable classification results are obtained by 5-fold cross-validation. The results show that the average accuracy of ship classification based on LightGBM model is 86.6% after the offshore distance feature is added, and the classification accuracy is improved by 3.1%, which is better
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