Panpan Li

Convolutional neural network-based applied research on the enrichment of heavy metals in the soil–rice system in China

Dabing Ge, Huijuan Hao, Yuntao Lv, 2022, Environmental Science and Pollution Research.

Probabilistic health risk assessment for residents exposed to potentially toxic elements near typical mining areas in China

Dabing Ge, Huijuan Hao, Yuntao Lv, 2022, Environmental Science and Pollution Research.

Detraque: Dynamic execution tracing techniques for automatic fault localization of hardware design code

Xiaoguang Mao, Jianjun Xu, Xiankai Meng, 2022, PloS one.

Driving effects and transfer prediction of heavy metal(loid)s in contaminated courtyard gardens using redundancy analysis and multilayer perceptron

Dabing Ge, Yuanyuan Li, Huijuan Hao, 2022, Environmental Monitoring and Assessment.

Driving effects and transfer prediction of heavy metal(loid)s in contaminated courtyard gardens using redundancy analysis and multilayer perceptron

Dabing Ge, Yuanyuan Li, Huijuan Hao, 2022, Environmental Monitoring and Assessment.

A field study to estimate heavy metal concentrations in a soil-rice system: Application of graph neural networks.

Dabing Ge, Huijuan Hao, Yuntao Lv, 2022, The Science of the total environment.

CNN-FL: An Effective Approach for Localizing Faults using Convolutional Neural Networks

Xiaoguang Mao, Yan Lei, Zhuo Zhang, 2019, 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER).

Environment-compatible heavy metal risk prediction method created with multilevel ensemble learning.

Yongping Shan, Yuntao Lv, Wanming Chen, 2024, Journal of hazardous materials.