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Akademický článek

Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique

Autor: Hao Huang, Zhaoli Wang, Yaoxing Liao, Weizhi Gao, Chengguang Lai, Xushu Wu, Zhaoyang Zeng

Publikováno v: Ecological Informatics, Vol 84, Iss , Pp 102904- (2024)

Convolutional neural networks (CNNs) and long short-term memory networks (LSTMs) are popular deep learning architectures currently used for rapid flood simulations. However, deep learning algorithms are difficult to explain, like a “black box” th

Externí odkaz: https://doaj.org/article/207cea7f6b574a86aa6ef28de67720c2

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Akademický článek

Data-mining framework for in-depth quantitative study of influences on low-wind-velocity area from morphological parameters of cuboid-form buildings

Autor: Han Guo, Yehao Song, Yingnan Chu, Yi He, Weizhi Gao, Xiaoqing Guan

Publikováno v: Heliyon, Vol 10, Iss 7, Pp e29137- (2024)

Wind environment is important in architectural sustainable design, as existing studies show that it can be considerably influenced by building morphologies. This study aimed to develop a data-mining framework to quantitatively evaluate and compare in

Externí odkaz: https://doaj.org/article/9bf4c06503924e1bba9f061dc17a5d66

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Akademický článek

Energy-Saving Potential Comparison of Different Photovoltaic Integrated Shading Devices (PVSDs) for Single-Story and Multi-Story Buildings

Autor: Shaohang Shi, Jingfen Sun, Mengjia Liu, Xinxing Chen, Weizhi Gao, Yehao Song

Publikováno v: Energies, Vol 15, Iss 23, p 9196 (2022)

Building-integrated photovoltaic (BIPV) façades are a promising technique for improving building energy performance. This study develops energy simulation models of different photovoltaic-integrated shading devices (PVSDs) in single-story and multi-

Externí odkaz: https://doaj.org/article/29cc8323b86c4fd7ac0eabe39c6d27a8

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Akademický článek

Spatiotemporal Variability of Actual Evapotranspiration and the Dominant Climatic Factors in the Pearl River Basin, China

Autor: Weizhi Gao, Zhaoli Wang, Guoru Huang

Publikováno v: Atmosphere, Vol 10, Iss 6, p 340 (2019)

Evapotranspiration is a vital component of the land surface process, thus, a more accurate estimate of evapotranspiration is of great significance to agricultural production, research on climate change, and other activities. In order to explore the s

Externí odkaz: https://doaj.org/article/121e65ba3dc448e39d888e3787cfa21c

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Improving long-tailed classification by disentangled variance transfer

Autor: Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu

Publikováno v: Internet of Things. 21:100687

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7bbd6cc992a766a80740b91ac854e645
https://doi.org/10.1016/j.iot.2023.100687

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Spatiotemporal Variability of Actual Evapotranspiration and the Dominant Climatic Factors in the Pearl River Basin, China

Autor: Guoru Huang, Zhaoli Wang, Weizhi Gao

Publikováno v: Atmosphere, Vol 10, Iss 6, p 340 (2019)
Atmosphere
Volume 10
Issue 6

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12f764c91aa85faf83436400214b0e1a
https://doi.org/10.3390/atmos10060340

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