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  1. 41
    Identifying Ocean Submesoscale Activity From Vertical Density Profiles Using Machine Learning

    Identifying Ocean Submesoscale Activity From Vertical Density Profiles Using Machine Learning by Leyu Yao, John R. Taylor, Dani C. Jones, Scott D. Bachman

    Published 2025-01-01
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  2. 42
    Comparison between dog-bone and Gaussian specimens for size effect evaluation in gigacycle fatigue

    Comparison between dog-bone and Gaussian specimens for size effect evaluation in gigacycle fatigue by A. Tridello, D.S. Paolino, G. Chiandussi, M. Rossetto

    Published 2013-09-01
    Subjects: “…Ultrasonic testing machine…”
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  3. 43
    LEXICOGRAPHIC PROBLEMS OF MACHINE TRANSLATION SYSTEMS ON THE WAY FROM LITERAL TO NEURAL

    LEXICOGRAPHIC PROBLEMS OF MACHINE TRANSLATION SYSTEMS ON THE WAY FROM LITERAL TO NEURAL by Larisa N. Beliaeva, Olga N. Kamshilova

    Published 2024-11-01
    Subjects: “…machine translation…”
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  4. 44
    Artificial intelligence and machine learning techniques for power quality event classification: a focused review and future insights

    Artificial intelligence and machine learning techniques for power quality event classification: a focused review and future insights by Indu Sekhar Samanta, Sarthak Mohanty, Shubhranshu Mohan Parida, Pravat Kumar Rout, Subhasis Panda, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

    Published 2025-03-01
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  5. 45
    Traffic modeling for machine type communication and its overload control

    Traffic modeling for machine type communication and its overload control by Xin JIAN, Xiao-ping ZENG, Yun-jian JIA, Jun-yi YANG, Yuan HE

    Published 2013-09-01
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  6. 46
    STUDY ON THE ACTIVE VIBRATION SUPPRESSION METHOD OF HYDROSTATIC SLIDE OF MACHINE TOOL BASED ON MR DAMPER

    STUDY ON THE ACTIVE VIBRATION SUPPRESSION METHOD OF HYDROSTATIC SLIDE OF MACHINE TOOL BASED ON MR DAMPER by ZHANG ZhongKui, GAO Feng, LI Yan, YAN YangYang

    Published 2022-01-01
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  7. 47
    Forecasting Occurrence and Intensity of Geomagnetic Activity With Pattern‐Matching Approaches

    Forecasting Occurrence and Intensity of Geomagnetic Activity With Pattern‐Matching Approaches by C. Haines, M. J. Owens, L. Barnard, M. Lockwood, A. Ruffenach, K. Boykin, R. McGranaghan

    Published 2021-06-01
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  8. 48
    Mapping positional accuracy for milling machine table

    Mapping positional accuracy for milling machine table by D. A. Blokhin, Yu. A. Blokhina, M. M. Lakman

    Published 2021-12-01
    Subjects: “…machining centers…”
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  9. 49
    Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China

    Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

    Published 2025-01-01
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  10. 50
    Classification Based on the Support Vector Machine for Determining Operational Targets for Controlling Electricity Usage With Conventional Meters: A Case Study of Industrial and Business Tariff Customers From PT PLN (Persero) Indonesia

    Classification Based on the Support Vector Machine for Determining Operational Targets for Controlling Electricity Usage With Conventional Meters: A Case Study of Industrial and Bu... by Galih Arisona, Alief Pascal Taruna, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan

    Published 2025-01-01
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  11. 51
    Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption

    Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption by Hong Cheng

    Published 2025-01-01
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  12. 52
    Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain

    Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

    Published 2024-12-01
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  13. 53
    A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning

    A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

    Published 2024-10-01
    Subjects: “…Machine Learning…”
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  14. 54
    A novel perturbation attack on SVM by greedy algorithm

    A novel perturbation attack on SVM by greedy algorithm by Yaguan QIAN, Xiaohui GUAN, Shuhui WU, NBensheng YU, Dongxiao REN

    Published 2019-01-01
    Subjects: “…machine learning…”
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  15. 55
    Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia

    Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia by Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel

    Published 2025-02-01
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  16. 56
    Eye Collateral Channel Characteristic Analysis and Identification Model Construction of Mild Cognitive Impairment

    Eye Collateral Channel Characteristic Analysis and Identification Model Construction of Mild Cognitive Impairment by WU Tiecheng, CAO Lei, YIN Lianhua, HE Youze, LIU Zhizhen, YANG Minguang, XU Ying, WU Jinsong

    Published 2024-02-01
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  17. 57
    A Scheme of QoS Evaluation Based on Support Vector Machine

    A Scheme of QoS Evaluation Based on Support Vector Machine by Ruitong Cao, Xu Cao

    Published 2014-02-01
    Subjects: “…machine learning…”
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  18. 58
    How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences

    How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences by Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler

    Published 2024-07-01
    Subjects: “…machine learning…”
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  19. 59
    Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs

    Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

    Published 2025-01-01
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  20. 60
    Workshop processes, practices and materials /

    Workshop processes, practices and materials / by Black, Bruce J.

    Published 1997
    Subjects: “…Machine-shop practice. 1803…”
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