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Jinghan Zhang, Xiaopei Ju, Sheng Wang, Fengping Li and Ziyue Zhao
Global warming substantially intensifies hydrologic cycles, causing increasing frequency and magnitude of catastrophic floods and droughts. Understanding the patterns and mechanisms of precipitation in historical periods is pivotal for regional disaster ...
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Yuewei Hou, Yongping Wei, Shuanglei Wu and Jinghan Li
Flooding has become one of the most dangerous and expensive disasters due to urbanization and climate change. Tools for assessing flood impact are required to support the shift of flood mitigation management from post-disaster recovery and reconstruction...
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Weining Zhang, Minghua Hu, Jianan Yin, Haobin Li and Jinghan Du
Airspace sectorization is a powerful means to balance the increasing air traffic flow and limited airspace resources, which is related to the efficiency and safety of operations. In order to divide sectors reasonably, a multi-objective optimization frame...
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Yuzhe Bai, Fengjun Hou, Xinyuan Fan, Weifan Lin, Jinghan Lu, Junyu Zhou, Dongchen Fan and Lin Li
With the widespread application of drone technology, the demand for pest detection and identification from low-resolution and noisy images captured with drones has been steadily increasing. In this study, a lightweight pest identification model based on ...
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Jinghan Wang, Guangyue Li and Wenzhao Zhang
The powerful performance of deep learning is evident to all. With the deepening of research, neural networks have become more complex and not easily generalized to resource-constrained devices. The emergence of a series of model compression algorithms ma...
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Xiaojie Cui, Jiayao Wang, Fang Wu, Jinghan Li, Xianyong Gong, Yao Zhao and Ruoxin Zhu
The spatial pattern is a kind of typical structural knowledge that reflects the distribution characteristics of object groups. As an important semantic pattern of road networks, the city center is significant to urban analysis, cartographic generalizatio...
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