Zhigang Chu's research works | Nanjing University of Information Science & Technology, Nanjing and other places

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Figure 7. Local explanation of LightGBM classifiers using mean |SHAP|...

Figure 9. Probability waterfall plots for three different cases for (a)...

The range and optimal combination of parameters in LightGBM.

Assessment of TCDL based on four ML algorithms.

Evaluation of Tropical Cyclone Disaster Loss Using Machine Learning Algorithms with an eXplainable Artificial Intelligence Approach

Article

Full-text available

Aug 2023

In the context of global warming, tropical cyclones (TCs) have garnered significant attention as one of the most severe natural disasters in China, particularly in terms of assessing the disaster losses. This study aims to evaluate the TC disaster loss (TCDL) using machine learning (ML) algorithms and identify the impact of specific feature factors...

Figure 2. Probability Density Function (PDF) of brightness temperature...

Figure 8 displays the comparison between observed BTs (O) and simulated...

Figure 8. The comparison between observed BTs (O) (x label) and...

CDL: A cloud detection algorithm over land for MWHS-2 based on the Gradient Boosting Decision Tree

Article

Full-text available

Aug 2020

This paper presents a stand-alone cloud detection algorithm over land (CDL) for Microwave Humidity Sounder -2 (MWHS-2), which is characterized by the first operational satellite sensor measuring 118.75 GHz. The CDL is based on the advanced machine learning (ML) algorithm Gradient Boosting Decision Tree (GBDT), which achieves the state-of-the-art pe...