Showing 1,621 - 1,640 results of 6,713 for search 'error data analysis', query time: 0.19s Refine Results
  1. 1621

    Experiment and Analysis of Wedge Cutting Angle on Cutting Effect by Deqiang Yang, Xuguang Wang, Yinjun Wang, Huaming An, Zhen Lei

    Published 2020-01-01
    “…The polynomial fitting of cutting depth, blasting volume, blasting fragment, and cutting angle is carried out according to the experimental data, and the corresponding fitting formula is obtained. …”
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  2. 1622

    Sentinel‐1 Snow Depth Assimilation to Improve River Discharge Estimates in the Western European Alps by I. Brangers, H. Lievens, A. Getirana, G. J. M. De Lannoy

    Published 2024-11-01
    “…The performance with different precipitation forcing inputs, namely MERRA‐2 (with and without gauge based correction) and ERA5, was compared based on in situ precipitation and SD stations, with ERA5 leading to the best SD performance. The Sentinel‐1 based data assimilation (DA) results show small but systematic improvements for SD estimates, with the mean absolute error reducing from 36.4 cm for the open loop (OL) to 35.6 cm for the DA across all stations and timesteps, improving 318 out of 516 in situ sites. …”
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  3. 1623

    Adjacent Inputs With Different Labels and Hardness in Supervised Learning by Sebastian A. Grillo, Julio Cesar Mello Roman, Jorge Daniel Mello-Roman, Jose Luis Vazquez Noguera, Miguel Garcia-Torres, Federico Divina, Pedro Esteban Gardel Sotomayor

    Published 2021-01-01
    “…We analyzed the relation that NIV has to random data and overfitting. We then demonstrated that a threshold of NIV may determine if a classification model can generalize to unseen data. …”
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  4. 1624

    A 4D-EnKF Method via a Modified Cholesky Decomposition and Line Search Optimization for Non-Linear Data Assimilation by Elías D. Nino-Ruiz, Jairo Diaz-Rodriguez

    Published 2024-11-01
    “…Through Root Mean Square Error (RMSE) analysis, we demonstrate that the proposed method outperforms the 4D-MLEF across a range of ensemble sizes and observational network configurations, providing a robust and scalable solution for non-linear data assimilation in complex systems.…”
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  5. 1625

    A Deep Learning Method for Inversing 3D Temperature Fields Using Sea Surface Data in Offshore China and the Northwest Pacific Ocean by Xiangyu Wu, Mengqi Zhang, Qingchang Wang, Xidong Wang, Jian Chen, Yinghao Qin

    Published 2024-12-01
    “…The reconstruction error remains quite stable over time. Furthermore, an analysis is conducted on the temporal-spatial characteristics of some mesoscale eddies in the inversed temperature field. …”
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  6. 1626

    New strategies for probing $$B\rightarrow D^*\ell \bar{\nu }_\ell $$ B → D ∗ ℓ ν ¯ ℓ lattice and experimental data by M. Bordone, A. Jüttner

    Published 2025-02-01
    “…Abstract We present an analysis of the exclusive semileptonic decay $$B\rightarrow D^*\ell \bar{\nu }_\ell $$ B → D ∗ ℓ ν ¯ ℓ based on the Belle and Belle II data made public in 2023, combined with recent lattice-QCD calculations of the hadronic transition form factors by FNAL/MILC, HPQCD and JLQCD. …”
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  7. 1627

    NEURAL NETWORKS INTEGRATION INTO LEGAL RESOURCES FOR ANTI-СORRUPTION MEASURES IN INTERNATIONAL ECONOMIC CO-OPERATION by Oleksii Makarenkov

    Published 2025-06-01
    “…In this context, the composition, adequacy, classification, and other characteristics of financial data, as well as access rights and regulations governing the use of neural network analysis results, play a crucial role. …”
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  8. 1628

    High-Resolution Daily XCH<sub>4</sub> Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data by Mohamad M. Awad, Saeid Homayouni

    Published 2025-07-01
    “…The CNN-AE model demonstrated the highest accuracy in regional-scale analysis, achieving a Mean Absolute Error (MAE) of 28.48 ppb and a Root Mean Square Error (RMSE) of 30.07 ppb. …”
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  9. 1629

    Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data by N. Mandal, P. Das, K. Chanda, K. Chanda

    Published 2025-06-01
    “…<p>Understanding long-term terrestrial water storage (TWS) variations is vital for investigating hydrological extreme events, managing water resources and assessing climate change impacts. However, the limited data duration from the Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission (GRACE-FO) poses challenges for comprehensive long-term analysis. …”
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  10. 1630
  11. 1631

    mbX: An R Package for Streamlined Microbiome Analysis by Utsav Lamichhane, Jeferson Lourenco

    Published 2025-05-01
    “…We validated mbX on 14 real microbiome datasets, demonstrating significant improvements in efficiency and consistency of post-processing of DNA sequence data. The results show that mbX ensures uniform taxonomic formatting, eliminates common manual errors, and quickly generates publication-ready figures, greatly facilitating downstream analysis. …”
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  12. 1632

    Study on the Spatiotemporal Evolution of Evapotranspiration and the Integration of Multi-Source Data in the Water Source Area of the Middle Route of the South-to-North Water Transf... by Shaobo Liu, Dayang Wang, Mengjiao Wu, Yanyu Ma, Zhimin Yang, Xianliang Liu

    Published 2025-03-01
    “…These datasets are analyzed for spatiotemporal evolution and data fusion using Mann–Kendall analysis, Sen’s Slope analysis, and Extended Triple Collocation (ETC). …”
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  13. 1633
  14. 1634

    Beyond diagnostic connectivity: Leveraging digital health technology for the real-time collection and provision of high-quality actionable data on infectious diseases in Uganda. by Dennis Mujuni, Julius Tumwine, Kenneth Musisi, Edward Otim, Maha Reda Farhat, Dorothy Nabulobi, Nyombi Abdunoor, Arnold Kennedy Tumuhairwe, Marvin Derrick Mugisa, Denis Oola, Fred Semitala, Raymond Byaruhanga, Stavia Turyahabwe, Moses Joloba

    Published 2024-08-01
    “…Maintaining stakeholder engagement at the clinical level is key for sustaining diagnostic data connectivity. The locally developed diagnostic connectivity solution as a digital health technology offers the chance to collect high-quality data on a number of parameters for disease control, including error analysis, thereby strengthening the quality of data from the networked diagnostic sites to relevant stakeholders.…”
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  15. 1635
  16. 1636

    An empirical model for root cause analysis in the audit profession by Wendy Groot, Caroline Meertens, Tom Winkelaar

    Published 2025-07-01
    “…Audit firms conduct root cause analysis (RCA) to learn from errors and enhance future processes. …”
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  17. 1637

    Analysis of a modern method for calibrating resistance thermometers by Ismoilov Muhriddin, Rakhimov Anvarjon, Abjalilov Ozodjon, Ravshanov Farrux, Qalandarov Alisher

    Published 2025-01-01
    “…The purpose of calibration is to compare the instrument’s readings with standard values and identify its errors. Traditional methods are often time- consuming and dependent on human factors. …”
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  18. 1638

    Test and Analysis for Shearing Behavior of Circular CFST Columns by Hiroyuki Nakahara, Kazuhiro Uchida, Yuto Yanai

    Published 2024-12-01
    “…The load versus deformation relations obtained by the tests were well traced by 3D-FEM analysis. The shearing capacities were estimated as an average of 12% errors using 3D-FEM analysis.…”
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  19. 1639

    A comparison between the self-report of chronic cardiovascular diseases with health insurance data: insights from the population-based LIFE-Adult study by Samira Zeynalova, Peter Worringen, Stefan Bassler, Anja Martin, Katrin Czech, Lars Greulich, Matthias Reusche, Ute Enders, Nigar Reyes, Maryam Yahiaoui-Doktor, Matthias Collier, Markus Loeffler, Tina Stegmann

    Published 2025-05-01
    “…The verification of self-reported diagnoses using health insurance data as an additional data source may be considered in future population-based assessments to reduce misclassification error of self-reported data.…”
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  20. 1640

    Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches by Alahmari Turki S., Farooq Furqan

    Published 2025-03-01
    “…Validation via K-fold confirms that models perform by showing fewer errors and a greater correlation of determination. …”
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