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Akademický článek

The Relationship between Crown and Trunk Traits of Trees in the Nanling Mountains

Autor: Gong Yuening, Yang Changteng, Zhou Guangyi, Li Zhaojia, Li Chaorong, Yang Long, Sun Zhongyu

Publikováno v: Redai dili, Vol 42, Iss 8, Pp 1386-1395 (2022)

There is a close quantitative relationship between crown traits and trunk traits and the relationship can be used to invert each other, calculate forest biomass and stock volume, and guide afforestation practice. The correlation between tree crown an

Externí odkaz: https://doaj.org/article/1fa24710eaa042da989425321ed49281

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Precipitation Nowcasting Using Diffusion Transformer with Causal Attention

Autor: Li, ChaoRong, Ling, XuDong, Xue, YiLan, Luo, Wenjie, Zhu, LiHong, Qin, FengQing, Zhou, Yaodong, Huang, Yuanyuan

Short-term precipitation forecasting remains challenging due to the difficulty in capturing long-term spatiotemporal dependencies. Current deep learning methods fall short in establishing effective dependencies between conditions and forecast results

Externí odkaz: http://arxiv.org/abs/2410.13314

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SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model

Autor: Ling, Xudong, Li, Chaorong, Qin, Fengqing, Yang, Peng, Huang, Yuanyuan

Diffusion models are widely used in image generation because they can generate high-quality and realistic samples. This is in contrast to generative adversarial networks (GANs) and variational autoencoders (VAEs), which have some limitations in terms

Externí odkaz: http://arxiv.org/abs/2402.13737

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Two-stage Rainfall-Forecasting Diffusion Model

Autor: Ling, XuDong, Li, ChaoRong, Qin, FengQing, Zhu, LiHong, Huang, Yuanyuan

Deep neural networks have made great achievements in rainfall prediction.However, the current forecasting methods have certain limitations, such as with blurry generated images and incorrect spatial positions. To overcome these challenges, we propose

Externí odkaz: http://arxiv.org/abs/2402.12779

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