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Jie Wang, Jie Yang, Jiafan He and Dongliang Peng
Semi-supervised learning has been proven to be effective in utilizing unlabeled samples to mitigate the problem of limited labeled data. Traditional semi-supervised learning methods generate pseudo-labels for unlabeled samples and train the classifier us...
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Jiashuo Yu, Hanbin Xiao, Feiyue Sun, Likang Yan and Min Liu
In the port domain, quayside container cranes are an indispensable component of maritime freight transport. These cranes are not only costly but also associated with safety accidents that often result in casualties and property loss, severely impacting p...
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Yumiko Yasuda and Yelysaveta Demydenko
The management of transboundary water resources presents a complex challenge involving multiple stakeholders and countries. Negotiating a single rule for managing these resources can take years due to various factors, including political, socioeconomic, ...
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Tangwu Yang, Dianpeng Li, Qing Xu, Yijia Zhu, Zhengjie Zhu, Xin Leng, Dehua Zhao and Shuqing An
Long-term fishing bans have spurred extensive debate regarding their impacts on ecosystem structures, functions, and water qualities. However, data on the effects of specific changes induced by fishing bans on ecosystem structures, functions, and water q...
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Dibo Dong, Shangwei Wang, Qiaoying Guo, Yiting Ding, Xing Li and Zicheng You
Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy stations and the occasional fluctuations in the wind field. This study proposes a dynamic graph embedding-based graph neural network?long short-term memory joint fr...
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