Showing 681 - 700 results of 6,713 for search 'error data analysis', query time: 0.19s Refine Results
  1. 681
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    Prediction of Cover–Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data by Wesley B. Richardson, Suné von Solms, Johan Meyer, Charis Harley

    Published 2025-04-01
    “…This paper aims to answer the question: Can a cover–subsidence sinkhole’s volume be determined using fibre Bragg grating sensor strain data and machine-learning techniques? Exploratory data analysis was conducted on fibre Bragg grating sensor strain data collected from an experimental test rig whereby a cover–subsidence sinkhole was formed. …”
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    Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

    Published 2025-06-01
    “…Manual geometric modeling of timber structures is time-intensive and error-prone, impeding efficient structural analysis. …”
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  6. 686

    The Applicability Evaluation of Multisource Precipitation Data for Runoff Simulation in a Typical Basin on the Tianshan Mountains by WANG Wenyu, LIU Gang, WANG Xiaoyan, PANG Liling, FENG Tongfei, GU Huanghe

    Published 2025-02-01
    “…The results can serve as data references for runoff simulation and soil erosion prevention research in the Tianshan region, where meteorological data are limited.…”
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  7. 687
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    Integrating Sensor Data, Laboratory Analysis, and Computer Vision in Machine Learning-Driven E-Nose Systems for Predicting Tomato Shelf Life by Julia Marie Senge, Florian Kaltenecker, Christian Krupitzer

    Published 2025-07-01
    “…Support Vector Classifier (SVC) and k-Nearest Neighbor (kNN) were applied to classify storage scenarios and storage days, while Support Vector Regression (SVR) and kNN regression were used for predicting storage days. By using a data fusion approach with Linear Discriminant Analysis (LDA), the SVC achieved an accuracy of 72.91% in predicting storage days and an accuracy of 86.73% in distinguishing between storage scenarios. …”
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  9. 689

    Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

    Published 2022-01-01
    “…In the age of big data, machine learning models are globally used to execute default risk prediction. …”
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    Data-Driven Analysis of Ocean Fronts’ Impact on Acoustic Propagation: Process Understanding and Machine Learning Applications, Focusing on the Kuroshio Extension Front by Weishuai Xu, Lei Zhang, Ming Li, Xiaodong Ma, Maolin Li

    Published 2024-11-01
    “…Utilizing marine big data statistics and machine learning evaluation metrics such as out-of-bag (OOB) error and Shapley values, this study quantitatively assesses the variations in sound speed structures across the KEF and their effects on acoustic propagation shifts. …”
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  13. 693

    Permuted Temporal Kolmogorov-Arnold Networks for Stock Price Forecasting Using Generative Aspect-Based Sentiment Analysis by Agus Tri Haryono, Riyanarto Sarno, Ratih Nur Esti Anggraini, Kelly Rossa Sungkono

    Published 2024-01-01
    “…The Movement-Weighted Regression Error (MWRE) evaluation method is proposed to measure the performance of unified stock price forecasting with representation movement direction error and regression error. …”
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  14. 694

    Long-term trends and chemometric analysis of atmospheric air quality matrices in Nigeria (2003–2023) using NASA GIOVANNI satellite data by Daniel Omeodisemi Omokpariola, John Kanayochukwu Nduka, Martin Osita Anagboso, Patrick Leonard Omokpariola

    Published 2025-05-01
    “…Statistical analysis including mean, range, standard error of the mean (SEM), variance, coefficient of variance, standard deviation, median, skewness, kurtosis, regression plot, correlation, Pearson Correlation, Dendrogram Clustering, and Scatter Plot were conducted to determine the trends and relationships between atmospheric parameters. …”
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  15. 695

    The Problem with Time: Application of Partial Least Squares Analysis on Time-Frequency Plots to Account for Varying Time Intervals with Applied EEG Data by Jessie M. H. Szostakiwskyj, Filomeno Cortese, Raneen Abdul-Rhaman, Sarah J. Anderson, Amy L. Warren, Rebecca Archer, Emma Read, Kent G. Hecker

    Published 2025-01-01
    “…<b>Results:</b> The resulting resampled time-frequency data were analyzed with partial least squares (PLS), a multivariate technique that extracts patterns of data that support a contrast between conditions and groups while controlling for Type I error. …”
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  16. 696

    Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis by Benyang Xiao, Yuxiang Zhou, Zhirui Zhang, Xindi Wang, Jiali Xiang, Zhixin Lv, Miao Liao, Haibo Luo, Feng Song

    Published 2025-05-01
    “…In summary, we offered a novel framework for age prediction for saliva and cross-platform data analysis.…”
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  17. 697

    Technical note: “U–Th Analysis” – open-source software dedicated to MC-ICP-MS U-series data treatment and evaluation by I. K. Kerber, F. Kontor, A. Mielke, A. Mielke, S. Warken, S. Warken, N. Frank

    Published 2025-01-01
    “…The Python-based algorithm is equipped with a graphical user interface (GUI) and comprises raw data treatment, corrections, age calculation, and error estimation. …”
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    Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

    Published 2025-07-01
    “…To ensure reliability, robust data preprocessing was conducted using the Monte Carlo outlier detection (MCOD) method to recognize and manage data outliers. …”
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