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<div><p>As the precise odor-sensing equipment, the electronic nose integrates multiple advanced and sensitive sensors that can identify wound infections non-invasively and rapidly by analyzing wound characteristic odor. To reduce the cost of sensors and improve or maintain e-nose’s perfo...

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Bibliographic Details
Main Author:	Jia Liu (41593) (author)
Other Authors:	Jinglei Zhang (311803) (author), Shaoqi Zhang (15450567) (author), Kaiwei Li (4372756) (author), Xiang Li (114679) (author), Shuo Zhang (30844) (author), Hang Gu (345928) (author), Zhen Chen (129176) (author), Chao Liu (43092) (author), Nan Zhang (46264) (author), Tong Sun (1564231) (author)
Published:	2025
Subjects:	Microbiology Biotechnology Immunology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified wound infection detection two bacteria datasets feature group selection experimental results show effective detection range chemical components contributing optimized sensor combination takes two first nose &# 8217 effectively identify biomarkers fgs algorithm determined bacteria dataset 2 bad sensor features achieves excellent performance fgs achieves sensor arrays one first electronic nose effectively distinguish fgs ). xlink "> valuable discoveries six second significantly ahead sensing equipment precise odor mean accuracy max accuracy maintain e gradually selecting four second efficient optimization comparison methods classification accuracy
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