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A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China
Summary
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China is a scholarly article[1].
Key Facts
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-lightweight-convolutional-neural-network-with-end-to-end-learning-for-three-dimensional-mineral-prospectivity-modeling
MLA“A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-lightweight-convolutional-neural-network-with-end-to-end-learning-for-three-dimensional-mineral-prospectivity-modeling.
BibTeX@misc{4ortxyz_a-lightweight-convolutional-neural-network-with-end-to-end-learning-for-three-dimensional-mineral-prospectivity-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China}}, year = {2026}, url = {https://4ort.xyz/entity/a-lightweight-convolutional-neural-network-with-end-to-end-learning-for-three-dimensional-mineral-prospectivity-modeling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China — https://4ort.xyz/entity/a-lightweight-convolutional-neural-network-with-end-to-end-learning-for-three-dimensional-mineral-prospectivity-modeling (retrieved 2026-05-24)
