Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM_2.5 Concentrations: A Case Study in Dezhou City, China by Zhenfang He, Qingchun Guo

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Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City by Qingchun Guo, Zhenfang He, Zhaosheng Wang

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Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network by Qingchun Guo, Zhenfang He, Zhaosheng Wang

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A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM_2.5 Concentrations in Guangzhou City by Zhenfang He, Qingchun Guo, Zhaosheng Wang, Xinzhou Li

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Web-Based Data Integration and Interoperability for a Massive Spatial-Temporal Dataset of the Heihe River Basin EScience Framework by Qingchun Guo, Yaonan Zhang, Zhenfang He, Yufang Min

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Evolution and driving mechanisms of eco-environmental quality across different urbanization stages by Zhenfang He, Qingchun Guo, Zhaoxin Yin, XinPing Luo, Miaomiao Sun

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Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions by Qingchun Guo, Zhenfang He, Shanshan Li, Xinzhou Li, Jingjing Meng, Zhanfang Hou, Jiazhen Liu, Yongjin Chen

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