Zhongyuan Li

Jul 2, 2024 | dovepress.com | Zhongyuan Li |PengFei Xu |Yang Deng |Rui Duan

Back to Journals » Journal of Inflammation Research » Volume 17 Authors Li Z, Xu P, Deng Y, Duan R, Peng Q, Wang S, Xu Z , Hong Y, Zhang Y Received 2 July 2024 Accepted for publication 6 November 2024 Published 21 November 2024 Volume 2024:17 Pages 9285—9305 DOI https://doi.org/10.2147/JIR.S485252 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 5 Editor who approved publication: Professor Ning Quan Zhongyuan Li,1,* Pengfei Xu,2,* Yang...

Apr 10, 2023 | mdpi.com | Xufeng Lin |Zhongyuan Li |Wenjing Chen |Xueying Sun

Abstract:Modeling and prediction of forest fire occurrence play a key role in guiding forest fire prevention. From the perspective of the whole world, forest fires are a natural disaster with a great degree of hazard, and many countries have taken mountain fire prediction as an important measure for fire prevention and control, and have conducted corresponding research. In this study, a forest fire prediction model based on LSTNet is proposed to improve the accuracy of forest fire forecasts.