首页|期刊导航|法庭科学研究（英文）|A novel signal processing approach enabled by machine learning for the detection and identification of chemical warfare agent simulants using a GC-QEPAS system
法庭科学研究（英文）2025，Vol.10Issue(3)：45-53,9.DOI:10.1093/fsr/owaf002
A novel signal processing approach enabled by machine learning for the detection and identification of chemical warfare agent simulants using a GC-QEPAS system
A novel signal processing approach enabled by machine learning for the detection and identification of chemical warfare agent simulants using a GC-QEPAS system
摘要
关键词
forensic sciences/machine learning/chemical warfare agents/chemical weapons/gas chromatography/quartz enhanced photoacoustic spectroscopyKey words
forensic sciences/machine learning/chemical warfare agents/chemical weapons/gas chromatography/quartz enhanced photoacoustic spectroscopy引用本文复制引用
Nicola Liberatore,Giorgio Felizzato,Sandro Mengali,Roberto Viola,Francesco Saverio Romolo..A novel signal processing approach enabled by machine learning for the detection and identification of chemical warfare agent simulants using a GC-QEPAS system[J].法庭科学研究（英文）,2025,10(3):45-53,9.基金项目
This research received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement[No 883116,RISEN project]. （）
