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Swarm and Evolutionary Computation|April 15, 2020
Artificial infectious disease optimization: A SEIQR epidemic dynamic model-based function optimization algorithmGuangqiu HuangEnvironmental Monitoring and Assessment|June 27, 2024
Federated Bayesian network approach for cross-regional air pollution classification: a case study of the Beijing-Tianjin-Hebei regionChao Bian, Guangqiu HuangEnvironmental Science and Pollution Research International|June 17, 2022
Evaluation of industrial development quality and analysis of influencing factors in Xi'an, ChinaYi Zhang, Guangqiu HuangEnvironmental Science and Pollution Research International|June 6, 2021
Grey Lotka-Volterra model for the co-evolution of technological innovation, resource consumption, environmental quality, and high-quality industrial development in Shaanxi Province, ChinaYi Zhang, Guangqiu HuangJournal of Environmental Quality|June 20, 2024
Predicting PM2.5 concentration with enhanced state-trend awareness and uncertainty analysis using bagging and LSTM neural networksChao Bian, Guangqiu HuangEnvironmental Science and Pollution Research International|March 22, 2022
Migration and diffusion characteristics of air pollutants and meteorological influences in Northwest China: a case study of four mining areasJia Su, Guangqiu Huang, Zhixia ZhangEnvironmental Science and Pollution Research International|August 16, 2022
A new cross-domain prediction model of air pollutant concentration based on secure federated learning and optimized LSTM neural networkGuangqiu Huang, Xixuan Zhao, Qiuqin LuEcotoxicology and Environmental Safety|April 28, 2023
VAR-tree model based spatio-temporal characterization and prediction of O3 concentration in ChinaHongbin Dai, Guangqiu Huang, Jingjing Wang, et al.The Science of the Total Environment|June 8, 2019
Evaluation and analysis of cascading spread caused by multisource dust migration in a pollution-related ecosystemJia Su, Guangqiu Huang, Lixia Cao, et al.International Journal of Environmental Research and Public Health|May 28, 2022
Spatio-Temporal Characteristics of PM2.5 Concentrations in China Based on Multiple Sources of Data and LUR-GBM during 2016-2021Hongbin Dai, Guangqiu Huang, Jingjing Wang, et al.Pageof 1