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Akademický článek

Emergency entity relationship extraction for water diversion project based on pre-trained model and multi-featured graph convolutional network.

Autor: Li Hu Wang, Xue Mei Liu, Yang Liu, Hai Rui Li, Jia Qi Liu, Li Bo Yang

Publikováno v: PLoS ONE, Vol 18, Iss 10, p e0292004 (2023)

Using information technology to extract emergency decision-making knowledge from emergency plan documents is an essential means to enhance the efficiency and capacity of emergency management. To address the problems of numerous terminologies and comp

Externí odkaz: https://doaj.org/article/1d12a32459e940beb1a493cace76cac4

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Akademický článek

Drought prediction based on an improved VMD-OS-QR-ELM model.

Autor: Yang Liu, Li Hu Wang, Li Bo Yang, Xue Mei Liu

Publikováno v: PLoS ONE, Vol 17, Iss 1, p e0262329 (2022)

To overcome the low accuracy, poor reliability, and delay in the current drought prediction models, we propose a new extreme learning machine (ELM) based on an improved variational mode decomposition (VMD). The model first redefines the output of the

Externí odkaz: https://doaj.org/article/67dc12c6b4ad42a29b20b4d1b4a6f47f

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