about
Stormwater runoff pollutant loading distributions and their correlation with rainfall and catchment characteristics in a rapidly industrialized cityA New Efficient Hybrid Intelligent Model for Biodegradation Process of DMP with Fuzzy Wavelet Neural NetworksImproving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor.Application of fuzzy neural networks for modeling of biodegradation and biogas production in a full-scale internal circulation anaerobic reactor.Improving nitrogen removal using a fuzzy neural network-based control system in the anoxic/oxic process.A hybrid genetic--neural algorithm for modeling the biodegradation process of DnBP in AAO system.Prediction model of DnBP degradation based on BP neural network in AAO system.Urinary Concentrations of Bisphenols and Their Association with Biomarkers of Oxidative Stress in People Living Near E-Waste Recycling Facilities in China.Associations between polycyclic aromatic hydrocarbon (PAH) exposure and oxidative stress in people living near e-waste recycling facilities in China.Effect of E-waste Recycling on Urinary Metabolites of Organophosphate Flame Retardants and Plasticizers and Their Association with Oxidative Stress.Enhancing dissolved oxygen control using an on-line hybrid fuzzy-neural soft-sensing model-based control system in an anaerobic/anoxic/oxic process.Hydrolysis kinetics characteristic of recycled fiber in subcritical water.A fuzzy neural network model for monitoring A²/O process using on-line monitoring parameters.Key factors of eddy current separation for recovering aluminum from crushed e-waste.Degradation behavior of dimethyl phthalate in an anaerobic/anoxic/oxic system.A fast predicting neural fuzzy model for on-line estimation of nutrient dynamics in an anoxic/oxic process.Fe/S doped granular activated carbon as a highly active heterogeneous persulfate catalyst toward the degradation of Orange G and diethyl phthalate.A software sensor model based on hybrid fuzzy neural network for rapid estimation water quality in Guangzhou section of Pearl River, China.Substantial reductions in ambient PAHs pollution and lives saved as a co-benefit of effective long-term PM2.5 pollution controls.Residue levels and spatial distribution of phthalate acid esters in water and sediment from urban lakes of Guangzhou, ChinaPyrolysis Routine of Organics and Parameter Optimization of Vacuum Gasification for Recovering Hazardous Waste TonerThe fate of di-n-butyl phthalate in a laboratory-scale anaerobic/anoxic/oxic wastewater treatment processConductive 3D sponges for affordable and highly-efficient water purification
P50
Q35181437-D2AC12DB-31CE-4DFA-AEE4-63C9B7FE58BFQ37604405-5495985D-F012-46A9-A3A5-32931EEAAA44Q38793273-C2BDC6D8-CE18-4DBC-9640-995EF8BFC93DQ38823011-277A5565-C325-4DB7-A47A-22DAA923AEB8Q39177083-291F0779-DDBD-4184-BD83-E6F72ED414EDQ39719753-096B446E-369C-45AB-9D2F-2A2398082ACEQ39788394-54B94FE1-24A0-46E0-9FFB-77ADD48D0899Q40359550-06D5BCA6-70A4-4EA9-B3F5-C95188F7CDAEQ40379649-41BFF469-0CEB-4A54-A543-A0B5442F65F6Q40435890-A58D3217-5D20-4DAC-A908-4644BE980988Q43300074-93D660C9-CE3A-4CE6-A9FB-4AB049AEDFEDQ43338101-83A882F2-CC2F-498B-ABBA-6353D8A4540FQ43341533-ACC1ACE8-905A-4878-B111-EB5E4E67A65AQ43353519-442FC5F6-E54A-49EC-8C39-18B101CCBDA3Q43355305-4B201FF2-5975-420E-AE76-773DBD8E1859Q45336955-B3CC139D-B8D6-4BF3-A4E1-8D8F89CC419BQ46941659-28E9B698-EC6F-4F31-8B7F-55E4066D3BB3Q47398803-A70235B6-8478-42FA-AC44-F5C9870FA1BDQ51412451-99A6ED56-BB14-476A-99BB-8D369159A5E3Q58583078-5A0FE5D3-9B68-41FA-9A36-008D4C97672BQ59906526-975A3E89-8DB7-4AB2-9820-9416C9E25ABFQ84394021-AB76E53A-E06B-40CD-997D-FA66A1A942D6Q87846109-B85B9AE6-35EE-456E-9F79-5DED32DCED33
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Mingzhi Huang
@ast
Mingzhi Huang
@en
Mingzhi Huang
@es
Mingzhi Huang
@nl
type
label
Mingzhi Huang
@ast
Mingzhi Huang
@en
Mingzhi Huang
@es
Mingzhi Huang
@nl
prefLabel
Mingzhi Huang
@ast
Mingzhi Huang
@en
Mingzhi Huang
@es
Mingzhi Huang
@nl
P108
P106
P1153
8948883500
P31
P496
0000-0002-2592-3544