385 Mining, Reclamation and Environment, 38(10), 851–871. https://doi.org/10.1080/17480930.2024.2360743 Okada, N., Maekawa, Y., Owada, N., Haga, K., Shibayama, A., & Kawamura, Y. (2020). Automated Identification of Mineral Types and Grain Size Using Hyperspectral Imaging and Deep Learning for Mineral Processing. Minerals 2020, Vol. 10, 10(9), 1–22. https://doi.org/10.3390/min10090809 Okada, N., Owada, N., Takizawa, K., Bino Sinaice, B., Muacanhia, O., Gebretsadik, A., Tanaka, S., Aikawa, K., Park, I., Ito, M., Ohtomo, Y., & Kawamura, Y. (2025). APiS (AI powered intelligence spectrum analyser): hyperspectral imaging machine learning analyser app for mineral processing. International Journal of Mining, Reclamation and Environment, 39(10), 713–739. https://doi.org/10.1080/17480930.2024.2410041 Saberi, M., & Lilasathapornkit, T. (2024). Scalability challenges of machine learning models for estimating walking and cycling volumes in large networks. Npj Sustainable Mobility and Transport 2024 1:1, 1(1), 8-. https://doi.org/10.1038/s44333-024-00009-1 Shen, H., Li, X., Cheng, Q., Zeng, C., Yang, G., Li, H., & Zhang, L. (2015). Missing Information Reconstruction of Remote Sensing Data: A Technical Review. IEEE Geoscience and Remote Sensing Magazine, 3(3), 61–85. https://doi.org/10.1109/MGRS.2015.2441912 Son, H., Kim, S., Yeon, H., Kim, Y., Jang, Y., & Kim, S. E. (2021). Visual Analysis of Spatiotemporal Data Predictions with Deep Learning Models. Applied Sciences 2021, Vol. 11, 11(13). https://doi.org/10.3390/app11135853 Windrim, L., Melkumyan, A., Murphy, R. J., Chlingaryan, A., & Leung, R. (2023). Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data. Geoscience Frontiers, 14(4), 101562. https://doi.org/10.1016/j.gsf.2023.101562 Xu, S., Ma, J., Liang, R., Zhang, C., Li, B., Saydam, S., & Canbulat, I. (2023). Intelligent recognition of drill cores and automatic RQD analytics based on deep learning. Acta Geotechnica 2023 18:11, 18(11), 6027–6050. https://doi.org/10.1007/s11440-023-02011-2 Zhang, L. (2016). Determination and applications of rock quality designation (RQD). Journal of Rock Mechanics and Geotechnical Engineering, 8(3), 389–397. https://doi.org/10.1016/j.jrmge.2015.11.008 Zhang, S., Yang, Y., Sun, F., & Fang, B. (2023). Application of Image Sensing System in Mineral/Rock Identification: Sensing Mode and Information Process. Advanced Intelligent Systems, 5(11), 2300206. https://doi.org/10.1002/aisy.202300206 Zhong, Y., & Zhang, L. (2012). An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 50(3), 894–909. https://doi.org/10.1109/TGRS.2011.2162589
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