Showing 11,681 - 11,700 results of 14,501 for search 'research (errors OR error)', query time: 0.23s Refine Results
  1. 11681

    Expert identification blitz: A rapid high value approach for assessing and improving iNaturalist identification accuracy and data precision and confidence by Thomas Mesaglio, Kelly A. Shepherd, Juliet A. Wege, Russell L. Barrett, Hervé Sauquet, Will K. Cornwell

    Published 2025-09-01
    “…Societal Impact Statement Citizen science data are increasingly used in research and conservation, so assessing and improving data accuracy is important. …”
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    Article
  2. 11682

    Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

    Published 2025-01-01
    “…Additionally, heterogeneity, bias, and errors are examined through subgroup analyses based on park scale (a), functional characteristics (b), and climatic conditions (c), accompanied by the evaluation of publication bias using funnel plots.ResultsThe analysis in this research involves 50 eligible literature articles published between 2000 and 2024, which are selected from a total of 952 articles initially collected. …”
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    Article
  3. 11683

    Komparasi Algoritma Klasifikasi Dengan Menggunakan Anaconda untuk Memprediksi Ramai Penonton Film di Bioskop by Rano Agustino

    Published 2019-03-01
    “…Thus sometimes the cinema manager experiences an error in placing the film to be aired, so the number of viewers in the cinema is not as expected. …”
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    Article
  4. 11684
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  6. 11686

    Predictions of the Effect of Non-Homogeneous Ocean Bubbles on Sound Propagation by Yuezhu Cheng, Jie Shi, Yuan Cao, Haoyang Zhang

    Published 2024-09-01
    “…To solve this problem, researchers have tried to use approximations such as equivalent and multiple scattering models, but these approximations are accompanied by large errors. …”
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    Article
  7. 11687

    Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

    Published 2025-04-01
    “…Model performance was evaluated using Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Mean Absolute Error (MAE), and Mean Squared Error (MSE) metrics across three sample sizes (25%, 50%, and 75%). …”
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    Article
  8. 11688

    Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

    Published 2025-07-01
    “…Results We employed random forest regression (RFR) to construct age prediction models with publicly available DNAm Infinium 450 K microarray data of sex chromosomes from human whole blood and buffy coat samples and assessed the RFR model performance based on the root-mean squared error (RMSE) and the mean absolute deviation (MAD) of cross-validation. …”
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    Article
  9. 11689

    Motivaciones de los estudiantes universitarios para nunca realizar actividades físico-deportivas de tiempo libre. El caso de la Universidad de Guadalajara (Reasons why the universi... by Gabriel Flores Allende, Francisco Ruiz-Juan

    Published 2010-01-01
    “…The sampling procedure for this research was stratified polietapic with proportional affixation; which resulted on a + 3 percent error margin and a trusted level of 95.5 percent. …”
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    Article
  10. 11690

    Modeling of CO<sub>2</sub> Efflux from Forest and Grassland Soils Depending on Weather Conditions by Sergey Kivalov, Irina Kurganova, Sergey Bykhovets, Dmitriy Khoroshaev, Valentin Lopes de Gerenyu, Yiping Wu, Tatiana Myakshina, Yakov Kuzyakov, Irina Priputina

    Published 2025-03-01
    “…To increase the magnitude of the model resolutions, we controlled the slope and intercept of the linear model comparison between the measured and modeled data through the change in R<sub>0</sub>—CO<sub>2</sub> efflux at Tsoil = 0 °C. The mean bias error (MBE), root-mean-square error (RMSE), and determination coefficient (R<sup>2</sup>) were employed to assess the quality of the model’s performance. …”
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  11. 11691
  12. 11692

    Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

    Published 2025-06-01
    “…Specifically, the root mean square error (RMSE) for the optimal MLP model, which utilized a learning rate of 0.001 and a momentum of 0.67, was 0.10. …”
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    Article
  13. 11693

    Cloning, expression of carboxylesterase BioH and improvement of its hydrolysis activity by directed evolution by XU Hongna, YU Hongwei

    Published 2013-11-01
    “…This property makes it a biocatalyst with a good application prospect. However, research on the use of this enzyme has been quite few to date. …”
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  14. 11694
  15. 11695

    AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

    Published 2025-01-01
    “…Furthermore, crack localization experiments demonstrated that the proposed method, based on UAV orthophotos, achieved root mean square errors of 1.753 meters and 1.053 meters in the east and north directions, respectively, within the UTM coordinate system. …”
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  16. 11696
  17. 11697

    Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

    Published 2024-11-01
    “…The system significantly reduces human error and enhances the consistency of output, which is crucial in high-precision manufacturing environments by automating the focus adjustment based on the clearest image. …”
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  18. 11698
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  20. 11700

    Distribution Ratio Prediction of Major Components in 30%TBP/kerosene-HNO3 System Based on Machine Learning by YU Ting1, ZHANG Yinyin2, ZHANG Ruizhi3, JIN Wenlei2, LUO Yingting2, ZHU Shengfeng3, HE Hui1, YE Guoan1, GONG Helin4

    Published 2025-06-01
    “…The average absolute relative error (AARE) of uranium distribution ratio prediction reaches 7.73%, which is about 7% higher than that of the traditional model. …”
    Article