APiS (AI powered intelligence spectrum analyser): hyperspectral imaging machine learning analyser app for mineral processing

Okada, Natsuo; Owada, Narihiro; Takizawa, Kaito; Sinaice, Brian Bino; Muacanhia, Okhala; Gebretsadik, Angesom; Tanaka, Shunki; Aikawa, Kosei; Park, Ilhwan; Ito, Mayumi; Ohtomo, Yoko; Kawamura, Youhei

APiS (AI powered intelligence spectrum analyser): hyperspectral imaging machine learning analyser app for mineral processing

Okada, Natsuo; Owada, Narihiro; Takizawa, Kaito et al.

International Journal of Mining, Reclamation and Environment, 2025, 39(10), 713-739

Permalink : https://hdl.handle.net/2115/96199

このアイテムのアクセス数:134件（2026-08-25 18:25 集計）

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/96199
タイトル	APiS (AI powered intelligence spectrum analyser): hyperspectral imaging machine learning analyser app for mineral processing
著者	Okada, Natsuo ; Owada, Narihiro ; Takizawa, Kaito ; Sinaice, Brian Bino ; Muacanhia, Okhala ; Gebretsadik, Angesom ; Tanaka, Shunki ; Aikawa, Kosei ; Park, Ilhwan ; Ito, Mayumi ; Ohtomo, Yoko ; Kawamura, Youhei
著者名 Okada, Natsuo
著者名 Owada, Narihiro
著者名 Takizawa, Kaito
著者名 Sinaice, Brian Bino
著者名 Muacanhia, Okhala
著者名 Gebretsadik, Angesom
著者名 Tanaka, Shunki
著者名 Aikawa, Kosei
e-Rad_Researcher 80844753 著者名 Park, Ilhwan
e-Rad_Researcher 10339690 著者名 Ito, Mayumi
e-Rad_Researcher 80612902 著者名 Ohtomo, Yoko
e-Rad_Researcher 40361323 著者名 Kawamura, Youhei
言語	英語
キーワード	Spectroscopy
	hyperspectral imaging
	mineralogy
	mineral processing
発行日	2025-11-26
出版者	Taylor & Francis
収録物名	International Journal of Mining, Reclamation and Environment
巻(号)	39(10)
ページ	713-739
抄録	Hyperspectral data, encompassing hundreds of spectral wavelengths, is a powerful tool for mineral processing, as minerals display unique reflection spectra. Machine learning can identify mineral species from hyperspectral data, but its high dimensionality poses challenges for ordinary users. To address this, we developed APiS (AI Powered intelligence Spectrum Analyser), an interactive hyperspectral analysis application requiring no coding. APiS offers a user-friendly interface for data visualisation, learning data generation, advanced machine learning analysis, and model evaluation. This App surpasses previous script-based methods, enabling diverse users in geometallurgy to conduct sophisticated hyperspectral data analysis and fostering creativity in their work.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Mining, Reclamation and Environment on 26 Nov 2025, available at: https://doi.org/10.1080/17480930.2024.2410041.
PISSN	1748-0930
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1080/17480930.2024.2410041