Home ›
Entities
› academia
› Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China
Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China
Research article (Journal of Central South University, 2021) · cited 28× · AI/ML
Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China
Summary
Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China is a scholarly article[1].
Key Facts
Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-strategies-for-lithostratigraphic-classification-based-on-geochemical-sampling-data-a-case-study-in-are
MLA“Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-strategies-for-lithostratigraphic-classification-based-on-geochemical-sampling-data-a-case-study-in-are.
BibTeX@misc{4ortxyz_machine-learning-strategies-for-lithostratigraphic-classification-based-on-geochemical-sampling-data-a-case-study-in-are_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-strategies-for-lithostratigraphic-classification-based-on-geochemical-sampling-data-a-case-study-in-are}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case study in area of Chahanwusu River, Qinghai Province, China — https://4ort.xyz/entity/machine-learning-strategies-for-lithostratigraphic-classification-based-on-geochemical-sampling-data-a-case-study-in-are (retrieved 2026-05-24)
