Air Pollutant Concentration Forecasting Using Long Short-Term Memory Based on Wavelet Transform and Information Gain: A Case Study of Beijing. - Bingchun Liu; Xiaoling Guo; Mingzhao Lai; Qingshan Wang (Comput. Intell. Neurosci., 2020)

Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model. - Bingchun Liu; Mingzhao Lai; Jheng-Long Wu; Chuanchuan Fu; Arihant Binaykia (Multim. Tools Appl., 2020)

A Novel Method for Regional NO2 Concentration Prediction Using Discrete Wavelet Transform and an LSTM Network. - Bingchun Liu; Lei Zhang; Qingshan Wang; Jiali Chen (Comput. Intell. Neurosci., 2021)

A Long Short-Term Memory Neural Network for Daily NO2 Concentration Forecasting. - Bingchun Liu; Xiaogang Yu; Qingshan Wang; Shijie Zhao; Lei Zhang (Int. J. Inf. Technol. Web Eng., 2021)

Prediction of SSE Shanghai Enterprises index based on bidirectional LSTM model of air pollutants. - Bingchun Liu; Zhecheng Yu; Qingshan Wang; Peng Du; Xinming Zhang (Expert Syst. Appl., 2022)

Stock price prediction through GRA-WD-BiLSTM model with air quality and weather factors. - Bingchun Liu; Jiayi Pei; Zhecheng Yu (Int. J. Mach. Learn. Cybern., 2024)