Jianmin Gao

Locating the gas leakage source in the atmosphere using the dispersion wave method

Zaoxiao Zhang, Qingsheng Wang, Denglong Ma, 2020 .

Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios

Denglong Ma, Jianmin Gao, Guofang Xie, 2022, Atmosphere.

Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods

Denglong Ma, Jianmin Gao, Hong Zhao, 2021, Stochastic Environmental Research and Risk Assessment.

Gas Leakage Recognition Based on Wide-Band Infrared Imaging with the Auxiliary Excitation Method and Machine Learning Model

Zhitao Fan, Denglong Ma, Ruihan Wu, 2022, ACS Chemical Health & Safety.

Gas recognition method based on the deep learning model of sensor array response map

Denglong Ma, Jianmin Gao, Zaoxiao Zhang, 2021 .

Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere

Wei Tan, Zaoxiao Zhang, Gao Jianmin, 2018, Journal of Loss Prevention in the Process Industries.

CO2 Leakage Identification Method Based on Complex Time–Frequency Spectrum of Atmospheric CO2 Variation

Denglong Ma, Jianmin Gao, Zao-xiao Zhang, 2021, ACS Chemical Health & Safety.

An Improved Firefly Algorithm for Gas Emission Source Parameter Estimation in Atmosphere

Jianmin Gao, Qingsheng Wang, Denglong Ma, 2019, IEEE Access.

A new method to forecast multi-time scale load of natural gas based on augmentation data-machine learning model

Denglong Ma, Ruihan Wu, Jianmin Gao, 2022, Chinese Journal of Chemical Engineering.