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Yun Bai
Yun Bai
Chongqing Technology and Business University
Verified email at ctbu.edu.cn
Title
Cited by
Cited by
Year
Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions
Y Bai, Y Li, X Wang, J Xie, C Li
Atmospheric pollution research 7 (3), 557-566, 2016
3112016
Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models
Y Bai, Z Chen, J Xie, C Li
Journal of hydrology 532, 193-206, 2016
2042016
An ensemble long short-term memory neural network for hourly PM2. 5 concentration forecasting
Y Bai, B Zeng, C Li, J Zhang
Chemosphere 222, 286-294, 2019
1652019
Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator
B Zeng, H Duan, Y Bai, W Meng
Energy 151, 238-249, 2018
1442018
Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition
C Li, Y Tao, W Ao, S Yang, Y Bai
Energy 165, 1220-1227, 2018
1412018
Development of an optimization method for the GM (1, N) model
B Zeng, C Luo, S Liu, Y Bai, C Li
Engineering Applications of Artificial Intelligence 55, 353-362, 2016
1202016
A multi-scale relevance vector regression approach for daily urban water demand forecasting
Y Bai, P Wang, C Li, J Xie, Y Wang
Journal of Hydrology 517, 236-245, 2014
1132014
A multi-pattern deep fusion model for short-term bus passenger flow forecasting
Y Bai, Z Sun, B Zeng, J Deng, C Li
Applied Soft Computing 58, 669-680, 2017
1082017
Vehicular contribution of PAHs in size dependent road dust: A source apportionment by PCA-MLR, PMF, and Unmix receptor models
J Zhang, R Li, X Zhang, Y Bai, P Cao, P Hua
Science of the total environment 649, 1314-1322, 2019
1042019
A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction
Y Bai, Z Sun, B Zeng, J Long, L Li, JV de Oliveira, C Li
Journal of Intelligent Manufacturing 30, 2245-2256, 2019
1032019
Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach
Y Bai, C Li
Energy and Buildings 127, 571-579, 2016
932016
Hourly PM2. 5 concentration forecast using stacked autoencoder model with emphasis on seasonality
Y Bai, Y Li, B Zeng, C Li, J Zhang
Journal of Cleaner Production 224, 739-750, 2019
922019
Deep fuzzy echo state networks for machinery fault diagnosis
S Zhang, Z Sun, M Wang, J Long, Y Bai, C Li
IEEE Transactions on Fuzzy Systems 28 (7), 1205-1218, 2019
872019
Multiple Random Forests Modelling for Urban Water Consumption Forecasting
G Chen, T Long, J Xiong, Y Bai
Water Resources Management 31 (15), 4715-4729, 2017
852017
A novel sparse echo autoencoder network for data-driven fault diagnosis of delta 3-D printers
J Long, Z Sun, C Li, Y Hong, Y Bai, S Zhang
IEEE Transactions on Instrumentation and Measurement 69 (3), 683-692, 2019
742019
Manufacturing quality prediction using intelligent learning approaches: A comparative study
Y Bai, Z Sun, J Deng, L Li, J Long, C Li
Sustainability 10 (1), 85, 2017
702017
Intelligent fault diagnosis of delta 3D printers using attitude sensors based on support vector machines
K He, Z Yang, Y Bai, J Long, C Li
Sensors 18 (4), 1298, 2018
632018
Deep feature learning architectures for daily reservoir inflow forecasting
C Li, Y Bai, B Zeng
Water Resources Management 30, 5145-5161, 2016
612016
Hydrological modelling of karst catchment using lumped conceptual and data mining models
C Sezen, N Bezak, Y Bai, M Šraj
Journal of Hydrology 576, 98-110, 2019
592019
A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge
Y Bai, J Xie, D Wang, W Zhang, C Li
Computers & Industrial Engineering 155, 107227, 2021
582021
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