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heng Xia
heng Xia
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Title
Cited by
Cited by
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
612022
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
372021
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
342022
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
262023
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
242023
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
222023
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
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
152023
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
142023
Soft sensor of dioxin emission concentration based on Bagging semi-supervised deep forest regression
X Wen, T Jian, X Heng, Q Jun-Fei
Chinese Journal of Scientific Instrument 43 (6), 251-259, 2022
102022
Modeling method of deep ensemble forest regression with its application
T Jian, X Heng, Q Jun-Fei, G Zi-Hao
Journal of Beijing University of Technology 47 (11), 1219-1229, 2021
102021
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
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 20 (1), 358-368, 2023
82023
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
82020
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
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 31 (7), 2210-2224, 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
62022
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
62021
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
DF classification algorithm for constructing a small sample size of data-oriented DF regression model
X Heng, J Tang, Q Junfei, J Zhang, W Yu
Neural Computing & Applications 34 (4), 2785-2810, 2022
42022
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