Showing 1,721 - 1,740 results of 6,713 for search 'error data analysis', query time: 0.18s Refine Results
  1. 1721

    Analysis of Students’ Academic Performance using LMS Event Logs by Nikita D. Shaimov, Irina A. Lomazova, Alexey A. Mitsyuk, Ilya Yu. Samonenko

    Published 2022-12-01
    “…The bottlenecks of the educational process were identified, as well as errors in the data, indicating the incorrect operation of the system. …”
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    Article
  2. 1722
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  5. 1725

    Effective Impedance Method for In situ Ellipsometry Analysis of Magnetic Films by L.V. Panina, A.T. Morchenko, L.V. Kozhitov, P.A. Ryapolov

    Published 2013-12-01
    “…Errors from underlying layers propagate through the entire structure and accumulate. …”
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    Article
  6. 1726
  7. 1727

    METHODOLOGY OF COSEISMIC DISPLACEMENTS COMBINATION OBTAINED BY DATA STEMMING FROM HETEROGENEOUS GEODETIC NETWORKS: ON THE EXAMPLE OF THE GREAT 2011 TOHOKU EARTHQUAKE, Mw 9.1 by N. V. Shestakov, М. D. Gerasimenko, А. К. Kishkina, V. G. Bykov, V. V. Pupatenko, А. S. Prytkov, N. F. Vasilenko, V. S. Zhizherin, S. V. Yakovenko

    Published 2024-02-01
    “…The paper proposes a method for combining the fields of coseismic displacements of the Earth's crust, obtained in the far-field zone from the source according to data from heterogeneous GNSS networks. The results of applying the proposed method are demonstrated by the example of combining the fields of coseismic displacements in China, South Korea and the south of the Far East of the Russian Federation, initiated by the catastrophic Tohoku earthquake on March 11, 2011, Mw 9.1, as well as the calculation and analysis of the unified field of coseismic deformations of the region under study.…”
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  9. 1729

    Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization by Imad Shakir Abbood, Noorhazlinda Abd Rahman, B.H. Abu Bakar

    Published 2025-09-01
    “…The results indicated that the proposed framework has excellent performance and performed better than conventional models, and the XGBoost model achieved the highest prediction accuracy and lowest errors among all models. Furthermore, the explainability analysis indicated that section width, concrete compressive strength, section height, and longitudinal reinforcement ratio have the largest positive impact on SS prediction of RCDBs, while shear span-to-effective depth (a/d) and effective span-to-height (le/h) have the largest negative impact. …”
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  10. 1730
  11. 1731

    Analysis of hematology quality control using six sigma metrics by Shreya Goel, Amit R. Nisal, Ankita Raj, Ravindra C. Nimbargi

    Published 2024-04-01
    “…In sigma metrics, errors identified are quantified as percentage errors or defects per million (DPM). …”
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  12. 1732

    ANALYSIS OF MULTITEMPORAL AERIAL IMAGES FOR FENYŐFŐ FOREST CHANGE DETECTION by SHUKHRAT SHOKIROV, GÉZA KIRÁLY

    Published 2016-10-01
    “…Overall accuracy of classification was 77.2%, analysis showed that coniferous tree type classification was very accurate, but deciduous tree classification had a lot of omission errors. …”
    Article
  13. 1733

    Bubble flow analysis using multi-phase field method by Sugihara Kenta, Onodera Naoyuki, Sitompul Yos, Idomura Yasuhiro, Yamashita Susumu

    Published 2024-01-01
    “…To validate the MPF method, we conducted analysis of turbulent bubbly pipe flows and compared the results against experimental data from Colin et al [12]. …”
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  14. 1734

    Psychotherapy versus treatment as usual and other control interventions in children and adolescents with overweight and obesity: a protocol for systematic review with meta-analysis... by Christian Gluud, Janus C Jakobsen, Rajeeb Rashid, Inge Lissau, Laura Condon

    Published 2020-11-01
    “…We will assess risk of bias according to Cochrane guidelines and the Cochrane Effective Practice and Organisation of Care guidance. We will use meta-analysis and control risks of random errors with Trial Sequential Analysis. …”
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    Article
  15. 1735

    Comparison on the application of the software for image-free control UAV data processing of digital landslide: A case study of Huangtupo landslide in the Three Gorges Reservoir are... by Yujian HE, Jie DOU, Xiekang WANG, Yonghu FU, Hao MA, Heng WANG

    Published 2024-10-01
    “…Four commonly used professional aerial survey processing software, namely Pix4D Mapper, Photoscan, Context Capture, and DJI Terra, are utilized for digital processing. A comparative analysis is conducted based on four aspects: orthophoto quality, accuracy error, time consumption, and operation difficulty. …”
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    Article
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    Sistem Informasi Pendataan Atlet Berbasis Web Di Koni Kabupaten Pesisir Selatan by Siti Hasanah, April Zahmi

    Published 2025-08-01
    “…In KONI Pesisir Selatan Regency, athlete data collection has traditionally been conducted manually, leading to various issues such as delays in information processing, data entry errors, and difficulties in archiving. …”
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    Article
  18. 1738

    Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

    Published 2025-06-01
    “…Design/methodology/approach – Through a preprocessing and normalization of data, seven machine learning algorithms were applied. …”
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    Article
  19. 1739

    Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation... by T. Honda, A. Amemiya, S. Otsuka, G.‐Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, T. Miyoshi

    Published 2022-06-01
    “…The development includes a new thinning method considering the spatially correlated observation errors in the dense radar data. This new thinning method is effective in two past case studies in the summer of 2019.…”
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  20. 1740