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Gongwei Hao

Chongqing University of Science and Technology

China

SCHOLARLY PAPERS

1

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25

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0

Scholarly Papers (1)

1.

Machine Learning-based Intelligent Methods for Determining Total Microbial Colony Quantities and Identifying Typical Fungal Species in Cultured Indoor Air Samples

Number of pages: 35 Posted: 02 Mar 2026
Chongqing University of Science and Technology, Chongqing University of Science and Technology, Chongqing University of Science and Technology, Government of Canada - Health Canada, Beijing University of Technology - Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Chongqing University of Science and Technology, Chongqing University of Science and Technology, Chongqing University of Science and Technology and Chongqing University of Science and Technology
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Abstract:

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Indoor airborne pathogens, Colony quantities, Species identification, Computer visual algorithms, Machine learning