Showing 2,641 - 2,660 results of 6,713 for search 'error data analysis', query time: 0.21s Refine Results
  1. 2641

    Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8 by Claudia Giannone, Mohsen Sahraeibelverdy, Martina Lamanna, Damiano Cavallini, Andrea Formigoni, Patrizia Tassinari, Daniele Torreggiani, Marco Bovo

    Published 2025-12-01
    “…The paper describes the work phases from data collection to analysis and validation of an improved YOLOv8n model that, after a fine-tuning on the collected video set, achieved a precision of 85 %, a recall of 62 % (F1 score 0.72) at IoU 0.5 and processes a 640 × 640 pixels frame in just 12 ms on an NVIDIA RTX 2080. …”
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  2. 2642

    Complementary Filter Optimal Tuning Methodology for Low-Cost Attitude and Heading Reference Systems with Statistical Analysis of Output Signal by Grzegorz Kopecki, Zbigniew A. Łagodowski

    Published 2025-04-01
    “…A simple method for acquiring calibration data is introduced, and these data are subsequently used in the proposed iterative algorithm for optimal time constant selection. …”
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  3. 2643
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    Parameter Estimation of the Weibull Distribution in Modeling the Reliability of Technical Objects by Frolov M., Tanchenko S., Ohluzdina L.

    Published 2024-06-01
    “…Nevertheless, it is supposed to be quite efficient for the engineering practice of reliability analysis. The adequacy of the results was confirmed using generated selections analysis and experimental data on cutting tool reliability. …”
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  5. 2645

    IPDToolkit: An R package for simulation and Bayesian analysis of iterated prisoner’s dilemma game-play under third-party arbitration by Cody T. Ross, Thomas Fikes, Hillary Lenfesty, Richard McElreath

    Published 2025-01-01
    “…To promote research on the role of third-party arbitration, we introduce an R package, IPDToolkit, which facilitates both simulation of synthetic data and Bayesian analysis of empirical data. To address theoretical questions, IPDToolkit provides a Monte Carlo simulation engine that can be used to generate play between arbitrary strategies in the IPD with arbitration and assess expected pay-offs. …”
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  6. 2646
  7. 2647

    A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5 by Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, Beatriz Sainz-de-Abajo, Begonya Garcia-Zapirain

    Published 2024-12-01
    “…Many researchers prefer using machine and deep learning techniques for this analysis. This work proposes a novel approach integrating the C4.5 procedure, fuzzy rule patterns, and convolutional neural networks. …”
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  8. 2648

    The Relationship between Economic Activity and Types of Crime: A Panel Analysis of the Regions of the Czech Republic between 2005-2023 by Marek VOKOUN, Božena KADEŘÁBKOVÁ, Jan NEUGEBAUER, Lucie KOZLOVÁ

    Published 2024-10-01
    “… This study examines the influence of economic factors on crime in the regions of the Czech Republic from 2005 to 2023. The analysis utilizes panel data encompassing economic indicators such as Gross Domestic Product (GDP), the number of business entities exiting the market, and the number of unemployed individuals, alongside crime data across various types. …”
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  9. 2649

    Case Report: Accuracy analysis of a new scanning body for intraoral digital impressions in full-arch edentulous patients by Hongyang Ma, Jia Cao, Zhihui Tang, Yuwei Wu

    Published 2025-01-01
    “…Through quantitative analysis, the study provided data support for oral prosthodontics and digital treatments. …”
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  10. 2650

    Research on Support Vector Regression Short-Time Traffic Flow Prediction Model for Secondary Roads Based on Associated Road Analysis by Ganglong Duan, Yutong Du, Yanying Shang, Hongquan Xue, Ruochen Zhang

    Published 2025-02-01
    “…Simulation and Evaluation: Third, we conduct simulation experiments using real traffic data from Xi’an city. The performance of our model is evaluated using metrics such as root mean square error (RMSE), mean absolute error (MAE), and mean relative error (MRE). …”
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  14. 2654

    Impact of two high resolution altimetry mission concepts on ocean forecasting by Mounir Benkiran, Pierre-Yves Le Traon, Pierre-Yves Le Traon, Elisabeth Rémy, Yann Drillet

    Published 2024-12-01
    “…Compared to a constellation of three nadir altimeters (the present configuration), analysis and forecast errors are reduced by a factor of 2. …”
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  16. 2656

    Scale‐Dependent Inter‐Catchment Groundwater Flow in Forested Catchments: Analysis of Multi‐Catchment Water Balance Observations in Japan by Tomoki Oda, Kenta Iwasaki, Tomohiro Egusa, Tayoko Kubota, Sho Iwagami, Shin'ichi Iida, Hiroki Momiyama, Takanori Shimizu

    Published 2024-07-01
    “…However, studies have not clarified the relationships between IGF and catchment properties in the headwater catchments due to the lack of observational data at scales smaller than 100 ha. This study examined possible factors influencing IGF using random forest analysis based on annual water balance data from 152 forested catchments ranging from 0.09 to 9400 ha in Japan. …”
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  17. 2657

    How effective is teamwork really? The relationship between teamwork and performance in healthcare teams: a systematic review and meta-analysis by Tanja Manser, Jan B. Schmutz, Laurenz L. Meier

    Published 2019-09-01
    “…Additional literature was selected through a manual backward search of relevant reviews, manual backward and forward search of studies included in the meta-analysis and contacting of selected authors via email.Eligibility criteria Studies were included if they reported a relationship between a teamwork process (eg, coordination, non-technical skills) and a performance measure (eg, checklist based expert rating, errors) in an acute care setting.Data extraction and synthesis Moderator variables (ie, professional composition, team familiarity, average team size, task type, patient realism and type of performance measure) were coded and random-effect models were estimated. …”
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  18. 2658

    A Comparative Analysis of Buckling Pressure Prediction in Composite Cylindrical Shells Under External Loads Using Machine Learning by Hyung Gi Lee, Jung Min Sohn

    Published 2024-12-01
    “…This study addressed this challenge by integrating advanced machine learning techniques with simulation-based data generation through finite element analysis (FEA). …”
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