Showing 2,381 - 2,400 results of 6,713 for search 'error data analysis', query time: 0.23s Refine Results
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    Evaluation proceeds model middling kriging in distribution spatial land use city (Case study: city Kerman) by Ali Asghsr Abdollahi, moslem ghasemi

    Published 2018-03-01
    “…Analysis probative spatial data method for checking patterns spatial accidental and accidental is distribution variables spatial and correlation spatial from more usage and more important tools Analysis for is the research in the case spatial data. …”
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    Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

    Published 2024-01-01
    “…Approaches utilizing the reconstruction error rely on straightforward, simple mappings, which introduce a substantial risk of overfitting in high-dimensional data, wherein the model acquires patterns that are exclusive to the training data and fails to generalize to new data. …”
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  9. 2389

    Adsorption removal of anthocyanins from red cabbage extracts by bentonite: statistical analysis of main and interaction effects by L. M. Soldatkina, V. O. Novotna

    Published 2017-11-01
    “…A mathematical model that considers the significant main and interaction effects was suggested. The variance analysis and the statistic data showed that the model was adequate and had high coefficient of determination (R2 = 0.9954). …”
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  10. 2390

    Research on Analytical Solution of Stress Fields in Adjacent Tunnel Surrounding Rock Under Blasting and Verification Analysis by Tao Luo, Yong Wei, Junbo Zhao, Yelong Xie, Yan Hu, Xiaoming Lou, Xiaofeng Huo

    Published 2025-08-01
    “…Based on Heelan’s short cylindrical cavity model, this paper derives an analytical solution for blast-induced dynamic stresses in adjacent tunnel rock, incorporating both induced SV-waves and a rock mass damage factor through rigorous theoretical analysis. Numerical case studies and field measurements were used to analyze stress propagation during tunnel blasting, and theoretical results were compared with measured data. …”
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  11. 2391

    Optimization Design and Experimental Analysis of Resistance-Reducing Anti-Fracture Rotary Blade Based on DEM Techniques by Xiaochuan Zhao, Zhikai Ma, Jianguo Zhao, Jianchang Li, Jiale Zhao, Binhao Dai, Meilin An, Jiaping Wang, Jianjun Hao

    Published 2024-10-01
    “…The comparison between field trial results and simulation data showed an error rate (<5%), confirming the simulation test’s feasibility. …”
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  12. 2392
  13. 2393

    Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

    Published 2025-05-01
    “…Various statistical tools, including CAGR, decomposition analysis, instability analysis, seasonal indices, correlation analysis, Johansen co-integration, Granger causality, Vector Error Correction Model (VECM), impulse response function, and variance decomposition, were used for data analysis.ResultsThe findings indicate that black gram production and price dynamics are influenced by multiple factors. …”
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  14. 2394

    A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

    Published 2025-04-01
    “…The present model using FTIR analysis is a potential industrial tool for the quick determination of ash yield in coal and can be further improved by including data from other basins worldwide.…”
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  15. 2395

    Integrating Copula-Based Random Forest and Deep Learning Approaches for Analyzing Heterogeneous Treatment Effects in Survival Analysis by Jong-Min Kim

    Published 2025-05-01
    “…This paper presents deep learning models—specifically, Long Short-Term Memory (LSTM) networks and hybrid Convolutional Neural Network–LSTM (CNN-LSTM) with a Copula-Based Random Forest (CBRF) model to estimate Heterogeneous Treatment Effects (HTEs) in survival analysis. The proposed method is designed to capture non-linear relationships and temporal dependencies in clinical and genomic data, with a particular focus on exploring how treatment effects vary by race as a moderating factor. …”
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    Unlocking the therapeutic potential of unexplored phytocompounds as hepatoprotective agents through integration of network pharmacology and in-silico analysis by Pranali A. Jadhav, Asha B. Thomas, Mohsin K. Pathan, Somdatta Y. Chaudhari, Ravindra D. Wavhale, Sohan S. Chitlange

    Published 2025-03-01
    “…The Gene Ontology, Kyoto Encyclopedia of Genes and Genome data were compiled and enrichment analysis was performed using the DAVID database. …”
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  18. 2398

    Network meta-analysis of intraocular lens power calculation formulas based on artificial intelligence in short eyes by Xin Zheng, Meng Li, Zhao-Xing Guo, Zhi-Yong Tian, Jing-Shang Zhang, Ying-Yan Mao, Peng Zhao, Zhong-Yan Li, Xiu-Hua Wan

    Published 2025-04-01
    “…The extracted data comprised the mean absolute error (MAE) and the percentage of eyes with refractive prediction errors (PE) within ± 0.50 and ± 1.00 diopters (D). …”
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  19. 2399

    Azanza garckeana Extract Alleviates Lead-Induced Testicular Toxicity: A Histological and Oxidative Stress Analysis by Maureen Osemudiamen Oromaiwele, Daniel E. Odiase

    Published 2025-03-01
    “…The fixed testis used for histological findings was carried out using the hematoxylin and eosin procedure. Statistical analysis was done using the GraphPad Prism software V9, and data was expressed as mean with standard error of mean (SEM). …”
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  20. 2400

    Machine-learning aided calibration and analysis of porous media CFD models used for rotating packed beds by Ahmed M. Alatyar, Abdallah S. Berrouk

    Published 2024-11-01
    “…The results are validated against the predictions of the analytical sensitivity analysis and the finite difference approximation. After, the Newton – Gauss method that employs the sensitivity pressure drop derivatives, is used to minimize the error (cost function) between the pressure drop obtained from CFD simulations and the available experimental data. …”
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