Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Jin, Ying
Zhang, Wanqing
Song, Yang
Qu, Xiangju
Li, Zhenhua
Ji, Yunjing
and
He, Anzhi
2019.
Three-dimensional rapid flame chemiluminescence tomography via deep learning.
Optics Express,
Vol. 27,
Issue. 19,
p.
27308.
Cui, Yanqing
Wang, Qianlong
Liu, Haifeng
Zheng, Zunqing
Wang, Hu
Yue, Zongyu
and
Yao, Mingfa
2020.
Development of the ignition delay prediction model of n-butane/hydrogen mixtures based on artificial neural network.
Energy and AI,
Vol. 2,
Issue. ,
p.
100033.
Wang, Qian
Yu, Tao
Liu, Hecong
Huang, Jianqing
and
Cai, Weiwei
2020.
Optimization of camera arrangement for volumetric tomography with constrained optical access.
Journal of the Optical Society of America B,
Vol. 37,
Issue. 4,
p.
1231.
Hasegawa, Kazuto
Fukami, Kai
Murata, Takaaki
and
Fukagata, Koji
2020.
CNN-LSTM based reduced order modeling of two-dimensional unsteady flows around a circular cylinder at different Reynolds numbers.
Fluid Dynamics Research,
Vol. 52,
Issue. 6,
p.
065501.
Li, Binglin
Yang, Zixuan
Zhang, Xing
He, Guowei
Deng, Bing-Qing
and
Shen, Lian
2020.
Using machine learning to detect the turbulent region in flow past a circular cylinder.
Journal of Fluid Mechanics,
Vol. 905,
Issue. ,
Wei, Chuyu
Schwarm, Kevin K.
Pineda, Daniel I.
and
Spearrin, R. Mitchell
2020.
Deep neural network inversion for 3D laser absorption imaging of methane in reacting flows.
Optics Letters,
Vol. 45,
Issue. 8,
p.
2447.
Ren, Feng
Hu, Hai-bao
and
Tang, Hui
2020.
Active flow control using machine learning: A brief review.
Journal of Hydrodynamics,
Vol. 32,
Issue. 2,
p.
247.
Cai, Weiwei
Liu, Hecong
Huang, Jianqing
and
Zhang, Jiaqi
2020.
Reconstruction of kHz-rate 3-D flame image sequences from a low-rate 2-D recording via a data-driven approach.
Journal of the Optical Society of America B,
Vol. 37,
Issue. 12,
p.
3564.
Huang, Jianqing
Liu, Hecong
Wang, Qian
and
Cai, Weiwei
2020.
Limited-projection volumetric tomography for time-resolved turbulent combustion diagnostics via deep learning.
Aerospace Science and Technology,
Vol. 106,
Issue. ,
p.
106123.
An, Jian
Wang, Hanyi
Liu, Bing
Luo, Kai Hong
Qin, Fei
and
He, Guo Qiang
2020.
A deep learning framework for hydrogen-fueled turbulent combustion simulation.
International Journal of Hydrogen Energy,
Vol. 45,
Issue. 35,
p.
17992.
Xu, Wenjiang
Luo, Weiyi
Wang, Yu
and
You, Yancheng
2020.
Data-driven three-dimensional super-resolution imaging of a turbulent jet flame using a generative adversarial network.
Applied Optics,
Vol. 59,
Issue. 19,
p.
5729.
Zhang, Yining
Zhou, Lin
Meng, Hao
and
Teng, Honghui
2020.
Reconstructing cellular surface of gaseous detonation based on artificial neural network and proper orthogonal decomposition.
Combustion and Flame,
Vol. 212,
Issue. ,
p.
156.
Liu, Hecong
Wang, Qianlong
and
Cai, Weiwei
2020.
Parametric study on single-camera endoscopic tomography.
Journal of the Optical Society of America B,
Vol. 37,
Issue. 2,
p.
271.
Fukami, Kai
Hasegawa, Kazuto
Nakamura, Taichi
Morimoto, Masaki
and
Fukagata, Koji
2021.
Model Order Reduction with Neural Networks: Application to Laminar and Turbulent Flows.
SN Computer Science,
Vol. 2,
Issue. 6,
Zhou, Yuchen
Zhang, Chi
Han, Xiao
and
Lin, Yuzhen
2021.
Monitoring combustion instabilities of stratified swirl flames by feature extractions of time-averaged flame images using deep learning method.
Aerospace Science and Technology,
Vol. 109,
Issue. ,
p.
106443.
Morimoto, Masaki
Fukami, Kai
Zhang, Kai
Nair, Aditya G.
and
Fukagata, Koji
2021.
Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low dimensionalization.
Theoretical and Computational Fluid Dynamics,
Vol. 35,
Issue. 5,
p.
633.
Onat, Cem
Daşkin, Mahmut
Toraman, Suat
Golgiyaz, Sedat
and
Talu, Muhammed Fatih
2021.
Prediction of combustion states from flame image in a domestic coal burner.
Measurement Science and Technology,
Vol. 32,
Issue. 7,
p.
075403.
Jiang, YuHeng
Yu, YiFei
Huang, JianQing
Cai, WeiWei
and
Marco, James
2021.
Li-ion battery temperature estimation based on recurrent neural networks.
Science China Technological Sciences,
Vol. 64,
Issue. 6,
p.
1335.
Zhou, Lin
Teng, Honghui
Ng, Hoi Dick
Yang, Pengfei
and
Jiang, Zonglin
2021.
Reconstructing shock front of unstable detonations based on multi-layer perceptron.
Acta Mechanica Sinica,
Vol. 37,
Issue. 11,
p.
1610.
Wei, Chuyu
Schwarm, Kevin K.
Pineda, Daniel I.
and
Mitchell Spearrin, R.
2021.
Physics-trained neural network for sparse-view volumetric laser absorption imaging of species and temperature in reacting flows.
Optics Express,
Vol. 29,
Issue. 14,
p.
22553.