يعرض 1 - 10 نتائج من 451 نتيجة بحث عن '"lithology identification"', وقت الاستعلام: 1.17s تنقيح النتائج
  1. 1
    مؤتمر
    Lithology Identification Combining LightGBM-Recursive Feature Elimination and Residual CNN

    المؤلفون: Liu, MiaoMiao, Sun, XiangXuan, Liu, ZhiGang, Zhao, FengDa, Zhang, YuHong, Wang, Yu

    المصدر: 2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD) Artificial Intelligence and Big Data (ICAIBD), 2024 7th International Conference on. :399-404 May, 2024

    Relation: 2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD)

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  2. 2
    مؤتمر
    Logging Lithology Identification of Unconventional Reservoir Based on Hybrid Model

    المؤلفون: Li, Zhijun, Deng, Shaogui, Hong, Yuzhen, Wei, Zhoutuo

    المصدر: 2023 International Conference on New Trends in Computational Intelligence (NTCI) New Trends in Computational Intelligence (NTCI), 2023 International Conference on. 1:336-340 Nov, 2023

    Relation: 2023 International Conference on New Trends in Computational Intelligence (NTCI)

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  3. 3
    دورية أكاديمية
    A Review on Intelligent Recognition with Logging Data: Tasks, Current Status and Challenges

    المؤلفون: Zhu, Xinyi, Zhang, HongbingAff1, IDs10712024098539_cor2, Ren, Quan, Zhang, Lingyuan, Huang, Guojiao, Shang, Zuoping, Sun, JiangbingAff1, Aff3

    المصدر: Surveys in Geophysics: An International Review Journal Covering the Entire Field of Earth and Space Sciences. :1-34

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  4. 4
    دورية أكاديمية
    Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm

    المؤلفون: Luo, Siyu, Yin, SenlinAff2, IDs11004023101083_cor2, Chen, Juan, Wu, Youxin, Chen, Xu

    المصدر: Mathematical Geosciences. 56(5):1053-1072

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  5. 5
    مؤتمر
    Cross-well Lithology Identification based on Dynamic Adversarial Adaptation

    المؤلفون: Sun, LongXiang, Yuan, ChenHui, Li, Kun, Zhu, JianBing, Li, ZeRui

    المصدر: 2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Information Technology,Networking,Electronic and Automation Control Conference (ITNEC), 2023 IEEE 6th. 6:120-124 Feb, 2023

    Relation: 2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)

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  6. 6
    مؤتمر
    A Multi-feature Extraction-based Image Identification Method for Rock Debris in The Drilling Process

    المؤلفون: Xu, Pengju, Gan, Chao, Wang, Luzhao, Cao, Weihua

    المصدر: 2022 China Automation Congress (CAC) Automation Congress (CAC), 2022 China. :6666-6671 Nov, 2022

    Relation: 2022 China Automation Congress (CAC)

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  7. 7
    دورية أكاديمية
    Reducing the Effect of Incorrect Lithology Labels on the Training of Deep Neural Networks for Lithology Identification

    المؤلفون: Feng, Xiaoyue, Luo, Hongmei, Wang, Changjiang, Gu, HanmingAff1, IDs11004023100946_cor4

    المصدر: Mathematical Geosciences. 56(4):783-810

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  8. 8
    دورية أكاديمية
    Logging evaluation of favorable areas of a low porosity and permeability sandy conglomerate reservoir based on machine learning

    المؤلفون: Jiang, YanjiaoAff1, Aff2, Zhou, JianAff1, Aff2, IDs11600023011304_cor2, Song, YanjieAff1, Aff2, Song, Lijun, Guo, ZhihuaAff1, Aff2, Shen, Peng

    المصدر: Acta Geophysica: Official Journal of The Institute of Geophysics of the Polish Academy of Sciences. 72(2):711-725

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  9. 9
    دورية أكاديمية
    A novel workflow for shale lithology identification – A case study in the Gulong Depression, Songliao Basin, China

    المؤلفون: Xu Liying, Han Ruiyi, Yan Xuehong, Han Xue, Li Zhenlin, Wang Hui, Xue Linfu, Guo Yuhang, Mo Xiuwen

    المصدر: Open Geosciences, Vol 16, Iss 1, Pp 916-27 (2024)

    مصطلحات موضوعية: shale, shale oil, lithology identification, machine learning, bayesian gradient boosting algorithm, Geology, QE1-996.5

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2391-5447

    URL الوصول: https://doaj.org/article/15bdeeceadca486390f7eca17a21d613

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  10. 10
    دورية أكاديمية
    AI-based rock strength assessment from tunnel face images using hybrid neural networks

    المؤلفون: Lianbaichao Liu, Zhanping Song, Ping Zhou, XinHe He, Liang Zhao

    المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

    مصطلحات موضوعية: Tunnel face, Rock strength, Neural network, Lithology identification, Weathering degree, Medicine, Science

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2045-2322

    URL الوصول: https://doaj.org/article/0372e16fddf24367b83a64c3a44d32a0

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