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heng Xia
heng Xia
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Title
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Year
Dioxin emission prediction based on improved deep forest regression for municipal solid waste incineration process
H Xia, J Tang, L Aljerf
Chemosphere 294, 133716, 2022
572022
Prediction of dioxin emission from municipal solid waste incineration based on expansion, interpolation, and selection for small samples
J Tang, H Xia, L Aljerf, D Wang, PO Ukaogo
Journal of Environmental Chemical Engineering 10 (5), 108314, 2022
322022
Deep forest regression based on cross-layer full connection
J Tang, H Xia, J Zhang, J Qiao, W Yu
Neural Computing and Applications 33, 9307-9328, 2021
312021
Investigation on dioxins emission characteristic during complete maintenance operating period of municipal solid waste incineration
H Xia, J Tang, L Aljerf, T Wang, J Qiao, Q Xu, Q Wang, P Ukaogo
Environmental Pollution 318, 120949, 2023
232023
Numerical simulation modelling on whole municipal solid waste incineration process by coupling multiple software for the analysis of grate speed and air volume ratio
J Tang, J Zhuang, L Aljerf, H Xia, T Wang, B Gao
Process Safety and Environmental Protection 176, 506-527, 2023
192023
DF classification algorithm for constructing a small sample size of data-oriented DF regression model
H Xia, J Tang, J Qiao, J Zhang, W Yu
Neural Computing and Applications 34 (4), 2785-2810, 2022
192022
Assessment of PCDD/Fs formation and emission characteristics at a municipal solid waste incinerator for one year
H Xia, J Tang, L Aljerf, T Wang, B Gao, Q Xu, Q Wang, P Ukaogo
Science of The Total Environment 883, 163705, 2023
172023
Three-dimensional numerical modeling and analysis for the municipal solid-waste incineration of the grate furnace for particulate-matter generation
Y Liang, J Tang, H Xia, L Aljerf, B Gao, ML Akele
Sustainability 15 (16), 12337, 2023
122023
Dioxin emission modeling using feature selection and simplified DFR with residual error fitting for the grate-based MSWI process
H Xia, J Tang, L Aljerf, C Cui, B Gao, PO Ukaogo
Waste Management 168, 256-271, 2023
112023
Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm
J Chen, J Tang, H Xia, W Yu, J Qiao
Fuel 347, 128511, 2023
92023
Virtual sample generation method based on generative adversarial fuzzy neural network
C Cui, J Tang, H Xia, J Qiao, W Yu
Neural Computing and Applications 35 (9), 6979-7001, 2023
72023
Soft measuring method of dioxin emission concentration for MSWI process based on RF and GBDT
H Xia, J Tang, J Qiao, A Yan, Z Guo
2020 Chinese Control And Decision Conference (CCDC), 2173-2178, 2020
72020
Online measurement of dioxin emission in solid waste incineration using fuzzy broad learning
H Xia, J Tang, W Yu, J Qiao
IEEE Transactions on Industrial Informatics, 2023
62023
Takagi–Sugeno fuzzy regression trees with application to complex industrial modeling
H Xia, J Tang, W Yu, C Cui, J Qiao
IEEE Transactions on Fuzzy Systems, 2022
62022
Tree broad learning system for small data modeling
H Xia, J Tang, W Yu, J Qiao
IEEE Transactions on Neural Networks and Learning Systems, 2022
52022
A review of semi-supervised learning for industrial process regression modeling
W Xu, J Tang, H Xia
2021 40th Chinese Control Conference (CCC), 1359-1364, 2021
52021
Combustion State Recognition Method in Municipal Solid Waste Incineration Processes Based on Improved Deep Forest
X Pan, J Tang, H Xia, W Li, H Guo
International Conference on Neural Computing for Advanced Applications, 71-84, 2022
42022
Prediction method of dioxin emission concentration based on PCA and deep forest regression
W Xu, J Tang, H Xia, Z Sun
2021 40th Chinese Control Conference (CCC), 1212-1217, 2021
42021
Development of semi-physical simulation platform for monitoring municipal solid waste incineration process
A Yan, X Heng, X Liu
Journal of System Simulation 33 (6), 1427-1435, 2021
42021
A Non-Manipulated Variable Analysis of Solid-Phase Combustion in the Furnace of Municipal Solid-Waste Incineration Process Based on the Biorthogonal Numerical-Simulation Experiment
J Chen, J Tang, H Xia, T Wang, B Gao
Sustainability 15 (19), 14159, 2023
32023
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Articles 1–20