研究队伍
 
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   副教授
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   博士后
 
首页  代表性论著
张启兴代表性论著
 

Journals

[1] Lin G.; Zhang Y.M.; Xu G.; Zhang Q.X.*. Smoke Detection on Video Sequences Using 3D Convolutional Neural Networks, Fire Technology, 2019, 55(5)1827~1847.

[2] Xu G.; Zhang Q.X.*; Liu D.C.; et al. Adversarial Adaptation from Synthesis to Reality in Fast Detector for Smoke Detection, IEEE Access, 2019, 7:29471-29483.

[3] Luo J.; Zhang Y.M.; Wang F.; Zhang Q.X.*. Effects of brown coatings on the absorption enhancement of black carbon: A numerical investigation, Atmospheric Chemistry and Physics, 2018, 18(23):16897-16914.

[4] Luo J.; Zhang Y.M.; Zhang Q.X.*; et al. Sensitivity analysis of morphology on radiative properties of soot aerosols, Optics Express, 2018, 26(10):A420-A432.

[5] Liu J.; Zhang Y.M.; Zhang Q.X.*; et al. Scattering Matrix for Typical Urban Anthropogenic Origin Cement Dust and Discrimination of Representative Atmospheric Particulates, Journal of Geophysical Research: Atmospheres, 2018, 123(6):3159-3174.

[6] Luo J,; Zhang Y.M.; Wang F.; Wang J.; Zhang Q.X.*. Applying machine learning to estimate the optical properties of black carbon fractal aggregates, Journal of Quantitative Spectroscopy and Radiative Transfer, 2018, 215:1-8.

[7] Luo J.; Zhang Y.M.; Zhang Q.X.*; et al. Evaluation of sooting tendency of acetone–butanol–ethanol (ABE) fuels blended with diesel fuel, Fuel, 2017, 209:304-401.

[8] Xu G.; Zhang Y.M.; Zhang Q.X.*; et al. Deep domain adaptation based video smoke detection using synthetic smoke images, Fire Safety Journal, 2017, 93:53-59.


 
 
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