A framework for identifying metallogenic intrusions from 2D to 3D based on geological-geophysical datasets in the Wulonggou gold district, Qinghai Province, China-Reference-Cited by-同舟云学术

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A framework for identifying metallogenic intrusions from 2D to 3D based on geological-geophysical datasets in the Wulonggou gold district, Qinghai Province, China

Published:2024-08-23 Issue: Volume:38 Page:36-40
ISSN:
Container-title:International Workshop on Gravity, Electrical & Magnetic Methods and Their Applications, Shenzhen, China, May 19–22, 2024
language:
Short-container-title:

Author:

Gao Meng¹²,Wang Gongwen¹²³

Affiliation:

1. School of Earth Sciences and Resources, China University of Geosciences (Beijing)

2. Frontiers Science Center for Deep-time Digital Earth, China University of Geosciences (Beijing)

3. Beijing Key Laboratory of Land and Resources Information Research and Development

Publisher

Society of Exploration Geophysicists and Chinese Geophysical Society

Link

https://library.seg.org/doi/pdf/10.1190/GEM2024-009.1

Reference13 articles.

1. Bagging-based Positive–Unlabeled Data Learning Algorithm with Base Learners Random Forest and XGBoost for 3D Exploration Targeting in the Kalatongke District, Xinjiang, China

2. HNBGMED (Bureau of geology and mineral exploration and development of Henan Province), 2010, Report on the results of eleven 1: 50,000 scale (J46E023024, J47E023001, J47E023002, J46E024024, J47E024001, J47E024002, I46E001024, I47E001001, I47E001002, I47E001003, I47E001004) stream sediment geochemistry and surface high-precision magnetic survey in the Wulonggou district, Dulan County, Qinghai Province, China: 1-103 (in Chinese).

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