首页|期刊导航|Green and Smart Mining Engineering|Advancing arsenic contamination detection in boring cores using hyperspectral imaging and convolutional neural networks
Green and Smart Mining Engineering2025,Vol.2Issue(3):P.246-258,13.DOI:10.1016/j.gsme.2025.09.004
Advancing arsenic contamination detection in boring cores using hyperspectral imaging and convolutional neural networks
摘要
关键词
Hyperspectral imaging/Arsenic contamination/Machine learning/Environmental monitoring/Boring cores/Convolutional neural networks/Geological classification分类
资源环境引用本文复制引用
Kaito Takizawa,Natsuo Okada,Narihiro Owada,Angesom Gebretsadik,Kuroki Hirotada,Yoko Ohtomo,Youhei Kawamura..Advancing arsenic contamination detection in boring cores using hyperspectral imaging and convolutional neural networks[J].Green and Smart Mining Engineering,2025,2(3):P.246-258,13.基金项目
supported by the Support Program funds for Young Researchers in FY 2024 from Hokkaido University,Japan,to Yoko Ohtomo ()
supported by the Nanotechnology Platform Program of the Ministry of Education,Culture,Sports,Science,and Technology(MEXT),Japan (MEXT)
program funds for Young Researchers in FY 2024 from Hokkaido University,Japan to Yoko Ohtomo ()