Showing 6,901 - 6,920 results of 8,656 for search 'application (errors OR error)', query time: 0.16s Refine Results
  1. 6901

    Impact of precursor materials and activator interactions on the microstructural and mechanical properties of one part alkali activated concrete by Mohamed. I. Serag, Sara Ibrahim, Amr H. Badawy, Y. H. Helal, M. S. El-Feky

    Published 2025-08-01
    “…This simplification not only enhances consistency, workability, and sustainability but also minimizes mixing errors, thereby facilitating broader adoption in construction applications. …”
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    Article
  2. 6902

    Data-driven modeling approaches for pressure drop prediction in a multi-phase flow system by Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. AL-Dogai

    Published 2024-12-01
    “…Traditional models often need help with the complexities of multi-phase flow dynamics, resulting in high relative errors, particularly under varying flow regimes. In this study, we simulate a comprehensive multiphase flow experimental data collected from the lab. …”
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  3. 6903

    Accuracy Characteristics of the Parametric Burg Method for Spatial Signal Processing in a Nonuniform Array Antenna by V. M. Kutuzov, M. A. Ovchinnikov, E. A. Vinogradov

    Published 2021-06-01
    “…Under low signal-to-noise ratios (SNR), this noise leads to angular coordinate measuring errors thus worsening the statistical accuracy characteristics (ACs) of the signal. …”
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  4. 6904

    KAN-Based Tool Wear Modeling with Adaptive Complexity and Symbolic Interpretability in CNC Turning Processes by Zhongyuan Che, Chong Peng, Jikun Wang, Rui Zhang, Chi Wang, Xinyu Sun

    Published 2025-07-01
    “…To evaluate the performance of KANs, this research systematically compares prediction errors, topological evolutions, and mathematical interpretations of derived symbolic formulas. …”
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    Article
  5. 6905

    A Calculation Method for the Sloshing Impact Pressure Imposed on the Roof of a Passive Water Storage Tank of AP1000 by Daogang Lu, Xiaojia Zeng, Junjie Dang, Yu Liu

    Published 2016-01-01
    “…The experimental result showed that this method overpredicted the impact pressure with a certain error of no more than 35%. By the experiment, we conclude that this method is conservative and applicable for the engineering design.…”
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  6. 6906

    Digital Twins for Intelligent Vehicle-to-Grid Systems: A Multi-Physics EV Model for AI-Based Energy Management by Michela Costa, Gianluca Del Papa

    Published 2025-07-01
    “…Validated using real-world data from a Citroën Ami operating on urban routes in Naples, Italy, it achieved exceptional accuracy with a root mean square error (RMSE) of 1.28% for dynamic state of charge prediction. …”
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  7. 6907

    Optimization of High-Performance Computing Job Scheduling Based on Offline Reinforcement Learning by Shihao Li, Wei Dai, Yongyan Chen, Bo Liang

    Published 2024-12-01
    “…However, their trial-and-error learning approach can lead to suboptimal performance or resource wastage in the early stages. …”
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    Article
  8. 6908
  9. 6909

    Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

    Published 2025-01-01
    “…The optimal model identified was the GPR ARD Exponential model, which achieved a mean absolute error (MAE) of 1.8953 MPa and a correlation coefficient (R) of 0.9658. …”
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  10. 6910

    The quality and detection limits of mitochondrial heteroplasmy by long read nanopore sequencing by Barbara Slapnik, Robert Šket, Klementina Črepinšek, Tine Tesovnik, Barbara Jenko Bizjan, Jernej Kovač

    Published 2024-11-01
    “…Abstract This study evaluates long-read and short-read sequencing for mitochondrial DNA (mtDNA) heteroplasmy detection. 592,315 bootstrapped datasets generated from two single-nucleotide mismatched ultra-deep sequenced mtDNA samples were used to assess basecalling error and accuracy, limit of heteroplasmy detection, and heteroplasmy detection across various coverage depths. …”
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  11. 6911

    Explicit collocation algorithm for the nonlinear fractional Duffing equation via third-kind Chebyshev polynomials by Y.H. Youssri, A.G. Atta, M.O. Moustafa, Z.Y. Abu Waar

    Published 2025-06-01
    “…The algorithm is based on using shifted Chebyshev polynomials of the third-kind as basis functions and the spectral collocation method as a solver. We study the error analysis of the method in-depth, and we exhibit some numerical test problems to check the applicability of the method. …”
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  12. 6912

    Stress Estimation in Viscous Flows Using an Iterative Tikhonov Regularized Stokes Inverse Model by Yuanhao Gao, Yang Wang, Jizhou Zhang

    Published 2025-06-01
    “…We also conducted convergence analysis and error estimation for perturbed data, providing a fast and stable convergence. …”
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    Article
  13. 6913

    Artificial Intelligence in Quantum Communications: A Comprehensive Survey by Istiak Mahmud, Ahmed Abdelhadi

    Published 2025-01-01
    “…The integration of Artificial Intelligence (AI) into the field of quantum communication has emerged in recent years as a promising avenue for enhancing secure data transmission, error correction, and scalability in quantum networks. …”
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  14. 6914

    Introduction of modified root finding approaches and their comparative study with existing methods by Haputhanthrige Hashintha Dilan Kumara, Samoshi Shanika, Haputhanthrige Sachithra Gayashani, Withanage Ujitha Imeshan, Sanjula Thilakarathne

    Published 2025-07-01
    “…Furthermore, we illustrate some numerical applications to discuss error analysis, convergence analysis, and comparisons with existing methods. …”
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  15. 6915

    Floating Point Multiple-Precision Fused Multiply Add Architecture for Deep Learning Computation on Artix 7 FPGA Board by VINOTHENI, M. S., JAWAHAR SENTHIL KUMAR, V.

    Published 2024-11-01
    “…With an astoundingly low error rate of 0.013 % and an amazing accuracy rate of 99.987 %, the MPFMA in deep learning hardware not only enhances model performance but also contributes to energy conservation, making DL systems more sustainable and promising for the future of smart intelligence applications.…”
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  16. 6916

    Automated Cattle Head and Ear Pose Estimation Using Deep Learning for Animal Welfare Research by Sueun Kim

    Published 2025-07-01
    “…The proposed framework achieved mean average precision (mAP) values of 0.79 for head detection and 0.71 for left ear detection and mean absolute error (MAE) of approximately 8–9° for pose estimation, demonstrating reliable performance across diverse orientations. …”
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  17. 6917

    Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

    Published 2025-07-01
    “…This work implements an evolutionary artificial intelligence algorithm that mimics natural selection processes, providing automatic search for the optimal gait phase detector parameters by minimizing the error between the trajectory obtained from inertial measurement units and the reference (optical) trajectory acquired using an OptiTrack system. …”
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  18. 6918

    Simple circuit equivalents for the constant phase element. by Sverre Holm, Thomas Holm, Ørjan Grøttem Martinsen

    Published 2021-01-01
    “…The simulation corresponds exactly to the expected response from the proposed equivalents within 0.1% error. The realization with time-varying components correlates with known time-varying properties in applications, and may lead to a better understanding of the link between CPE and applications.…”
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  19. 6919

    Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

    Published 2024-12-01
    “…Electrical impedance spectroscopy (EIS), recognized for its high reproducibility, user-friendly nature, non-polluting properties, measurement stability, and controllable error rates, stands out as a cutting-edge, non-destructive technique for quality assessment in today's landscape of equipment, applications, and data analysis methodologies. …”
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  20. 6920

    Innovative graphic design by Liu Wei, Oleksandra kolisnyk

    Published 2025-05-01
    “…The aim was achieved by employing SWOT analysis, Thurstone Scale, calculations of eligibility criterion, influence coefficient, root mean square error (RMSE). The research established that creating a website requires taking into account important parameters of graphic design. …”
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