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Zihao Mu
Institutions:
Shanghai Fire Research Institute,
Ministry of Emergency Management of the People's Republic of China
Observed institutions:
Shenzhen University,
Southern University of Science and Technology,
Shanghai Fire Research Institute,
Ministry of Emergency Management of the People's Republic of China,
Northeast Petroleum University
ORCID:
0009-0000-5405-9399
Observed ORCID:
0009-0000-5405-9399
OpenAlex ID:
A5035928355
ReSGait: The Real-Scene Gait Dataset
2021
·
Zihao Mu
, Francisco M. Castro
, et al.
·
IEEE International Joint Conference on Biometrics (IJCB)
·
22
Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning
2024
·
Tao Liu
, Zongbao Liu
, et al.
·
Scientific Reports
·
11
iLGaCo: Incremental Learning of Gait Covariate Factors
2020
·
Zihao Mu
, Francisco M. Castro
, et al.
·
IEEE International Joint Conference on Biometrics (IJCB)
·
8
PDF
Deep learning-based prediction of smouldering-to-flaming transition of wood
2025
·
Pengfei Ding
, Yinggang Zheng
, et al.
·
Applied Thermal Engineering
·
2
A Study on Fire Dispatch Intensity Evaluation Model Based on Firefighter Fatigue Monitoring
2026
·
Chenyan Jiang
, Juntao Yang
, et al.
·
International Conference on Electronics Technology and Artificial Intelligence (ETAI)
A Weighted Scoring Model with One-Vote Veto Mechanism for Firefighting Capability Assessment of Dedicated Fire Brigades at Nuclear Power Plants
2026
·
Junjie He
, Zihao Mu
, et al.
·
Advances in engineering research/Advances in Engineering Research
PDF
Prediction of fire spatio-temporal occurrence based on random forest
2025
·
Min Liu
, Zihao Mu
·
International Conference on Image Processing, Intelligent Control and Computer Engineering (IPICE)
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Works count:
7
Citation count:
43
H-index:
3
I10-index:
2
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