Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China

Research article (Minerals, 2020) · cited 167× · AI/ML
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Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China

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Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-predictive-modelling-of-mineral-prospectivity-using-machine-learning-and-deep-learning-methods-a-case-study-
MLA “Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-predictive-modelling-of-mineral-prospectivity-using-machine-learning-and-deep-learning-methods-a-case-study-.
BibTeX @misc{4ortxyz_data-driven-predictive-modelling-of-mineral-prospectivity-using-machine-learning-and-deep-learning-methods-a-case-study-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-Driven Predictive Modelling of Mineral Prospectivity Using Machine Learning and Deep Learning Methods: A Case Study from Southern Jiangxi Province, China}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-predictive-modelling-of-mineral-prospectivity-using-machine-learning-and-deep-learning-methods-a-case-study-}, note = {Accessed: 2026-05-24}}
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