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Yu, Tianyou; Zhu, Yimin; Liu, Jie; Han, Yuexin; Li, Yanjun (2025) Intelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines. Mining, Metallurgy & Exploration, 42 (5). doi:10.1007/s42461-025-01299-w

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Reference TypeJournal (article/letter/editorial)
TitleIntelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines
JournalMining, Metallurgy & Exploration
AuthorsYu, TianyouAuthor
Zhu, YiminAuthor
Liu, JieAuthor
Han, YuexinAuthor
Li, YanjunAuthor
Year2025 (October)Volume42
Issue5
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s42461-025-01299-wSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID19088027Long-form Identifiermindat:1:5:19088027:1
GUID0
Full ReferenceYu, Tianyou; Zhu, Yimin; Liu, Jie; Han, Yuexin; Li, Yanjun (2025) Intelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines. Mining, Metallurgy & Exploration, 42 (5). doi:10.1007/s42461-025-01299-w
Plain TextYu, Tianyou; Zhu, Yimin; Liu, Jie; Han, Yuexin; Li, Yanjun (2025) Intelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines. Mining, Metallurgy & Exploration, 42 (5). doi:10.1007/s42461-025-01299-w
In(2025, October) Mining, Metallurgy & Exploration Vol. 42 (5). Springer Science and Business Media LLC

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Santos EG, de Brum IAS, Ambrós WM (2025) Sensor‑based sorting using De‑XRT sensor applied to a greenfield copper ore project in southern Brazil. IgMin Res 3(4):201–205. https://doi.org/10.61927/igmin299
(2020) TOMRA’s XRT sensor-based ore sorting technology significantly improves productivity and extends life of San Rafael tin mine Mining report 156(2):184–185
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Not Yet Imported: ACM Transactions on Human-Robot Interaction - journal-article : 10.1145/3570731

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Not Yet Imported: - journal-article : 10.3390/technologies12020015

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Mittal P (2024) A comprehensive survey of deep learning-based lightweight object detection models for edge devices. Artif Intell Rev 57(9):242
Wang CH, Huang KY, Yao Y, Chen JC, Shuai HH, Cheng WH (2022) Lightweight deep learning: an overview. IEEE Consumer Electronics Magazine 1–12:2022
Chunmei W, Huan LIU (2024) YOLOv8-VSC: lightweight algorithm for strip surface defect detection. Journal of Frontiers of Computer Science & Technology 18(1):151
Not Yet Imported: - proceedings-article : 10.1145/3448218.3448234

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Not Yet Imported: - proceedings-article : 10.1109/ICCV.2017.322

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Not Yet Imported: Journal of Real-Time Image Processing - journal-article : 10.1007/s11554-023-01258-y

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Not Yet Imported: Procedia Computer Science - journal-article : 10.1016/j.procs.2022.01.135

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Not Yet Imported: Machines - journal-article : 10.3390/machines11070677

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Qin R, Chen N, Huang Y (2022) EDDNet: an efficient and accurate defect detection network for the industrial edge environment. In: Proceedings of the 6th international conference on computer and communications (ICCC). IEEE, pp 854–863. https://doi.org/10.1109/ICCC56126.2022.10035099
Not Yet Imported: - journal-article : 10.3390/machines10070523

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Not Yet Imported: - journal-article : 10.3390/s23167112

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Not Yet Imported: - proceedings-article : 10.1109/CVPR42600.2020.01080

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