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Yanle Pei

As seen in: MDPI, ACS Publications
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Articles

Review of Emerging Strategies and Progress in Transition Metal-Modified Activated Carbons for Hazardous Gas Elimination Click to copy article link Article link copied!

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By Yue Wang, Yanle Pei, Yihao Zhang
| ACS Publications
Manganese acetate and tetrabutyltitanate Mn/Ti Sol–gel VOC SBET: 739.7–829.8 m2/g With a toluene removal efficiency of 86% and a CO2 yield of 116 ppm, 0.1%Mn/40%TiO2/AC was identified as the most active and stable catalyst for toluene degradation across different TiO2 loadings. This formulation also exhibited a superior capacity for ozone decomposition.
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MAFNet: Multimodal Asymmetric Fusion Network for Radar Echo Extrapolation

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By Yanle Pei, Qian Li, Yayi Wu, Xuan Peng
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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3D-UNet-LSTM: A Deep Learning-Based Radar Echo Extrapolation Model for Convective Nowcasting

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By Qian Li, Shiqing Guo, Nengli Sun, Yanle Pei
| MDPI
Abstract : Radar echo extrapolation is a commonly used approach for convective nowcasting. The evolution of convective systems over a very short term can be foreseen according to the extrapolated reflectivity images. Recently, deep neural networks have been widely applied to radar echo extrapolation and have achieved better forecasting performance than traditional approaches.
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