Search Results - "Yin, Shitao"

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  1. 1

    Lithology identification based on interpretability integration learning by Lin, Xiaochun, Yin, Shitao

    Published in Earth science informatics (01-09-2023)
    “…An interpretability model for intelligent lithology identification is proposed, which utilizes Ensemble Learning Stacking, Permutation Importance (PI), and…”
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    Journal Article
  2. 2

    Design, synthesis, and antiviral activities evaluation of novel quinazoline derivatives containing sulfonamide moiety by Deng Yi, Yin Shitao, Jing Xinyun, Zheng Yuguo

    Published in Heterocyclic Communications (20-04-2023)
    “…A series of novel quinazoline derivatives bearing sulfonamide moiety was designed and synthesized, and their structure were characterized by 1H NMR, 13C NMR,…”
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  3. 3

    Geochemical Characteristics and Chemostratigraphic Analysis of Wufeng and Lower Longmaxi Shales, Southwest China by Shitao Yin, Zhifeng Zhang, Yongjian Huang

    Published in Minerals (Basel) (01-09-2022)
    “…The demand for shale gas has propelled researchers to focus on precise and high-resolution stratigraphic divisions for homogeneous shales, of which the…”
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  4. 4

    An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping by Li, Nan, Yin, Shitao, Li, Cangbai, Wang, Yishi, Xiao, Keyan, Cao, Rui, Hua, Weihua, Chu, Wenkai, Song, Xianglong, Li, Cheng

    Published in Mathematical geosciences (01-02-2024)
    “…Geographic information system-based mineral prospectivity mapping (MPM) aims to generate targets by combining multiple proxy layers containing geology,…”
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  5. 5

    Grain‐size component dependent storage threshold of orbital cycles in alluvial stratigraphy caused by autogenic dynamics by Yang, Daming, Huang, Yongjian, Li, Xiang, Gao, Jianlei, Yin, Shitao, Wang, Chengshan

    Published in Sedimentology (01-08-2024)
    “…ABSTRACT Numerical forward modelling and laboratory experiments suggest that autogenic factors in the sediment routing system serve as long‐pass filters,…”
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  6. 6

    Mineral prospectivity mapping using knowledge embedding and explainable ensemble learning: A case study of the Keeryin ore concentration in Sichuan, China by Yin, Shitao, Li, Nan, Xiao, Keyan, Song, Xianglong, Yin, Jiangning, Wang, Chenghui

    Published in Ore geology reviews (01-04-2024)
    “…[Display omitted] •Use of BWM for prior knowledge embedding and Stacking for model integration.•Application of PI, PDP, and LIME to enhance interpretability of…”
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  7. 7

    Application of improved support vector machine in geochemical lithology identification by Yin, Shitao, Lin, Xiaochun, Huang, Yongjian, Zhang, Zhifeng, Li, Xiang

    Published in Earth science informatics (01-03-2023)
    “…Lithology identification is an important task in oil and gas exploration. In recent years, machine learning methods have become a powerful tool for intelligent…”
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  8. 8
  9. 9

    Modeling-Based Multiscale Deep Prospectivity Mapping: A Case Study of the Haoyaoerhudong Gold Deposit, Inner Mongolia, China by Li, Nan, Cao, Rui, Ye, HuiShou, Li, Qiang, Wang, Yitian, Lv, Xiping, Guo, Na, Su, Yuanxiang, Hao, Jianrui, Yin, Shitao, Chu, Wenkai

    “…The mineral system modeling approach for prospectivity mapping is an efficient and economic method to assess undiscovered mineral potential quantitatively. It…”
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    Journal Article