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  1. 181

    The Effect Of Focus Error And Spherical Aberration On Sharp Edge Image Intensity by Safaa Mustafa Hameed

    Published 2023-01-01
    “…In this research, a special formulas have been derived called the Edge spreads Function (ESF) .This formula is very useful for theoretical and practical studies since it is applicable to system with any kind and amount of aberrations that are present in the optical systems by using pupil function technique. …”
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  2. 182

    High-Resolution Spaceborne SAR Geolocation Accuracy Analysis and Error Correction by Facheng Li, Qiming Zeng

    Published 2024-11-01
    “…To investigate the actual SAR geolocation accuracy in common applications, we analyze the properties of different geolocation errors, propose a geolocation procedure, and conduct experiments on TerraSAR-X images and a pair of Tianhui-2 images. …”
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  3. 183

    Adaptive online modeling of ship maneuvering motion based on error monitoring by Yaohui YU, Suyang LIU, Zihao WANG, Wenbo XIE, Yan PENG

    Published 2025-02-01
    “…ObjectiveAiming to address the problem of model inaccuracy caused by ship dynamic changes during actual navigation, this study proposes an adaptive online modeling method for ship maneuvering motion based on an error monitoring mechanism. MethodsThe method determines model update timing through a model prediction error monitoring mechanism and realizes the adaptive retraining update of the model based on voyage data by combining the sliding window technique and support vector machine. …”
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  4. 184

    Check-Bit Region Exploration in Two-Dimensional Error Correction Codes by David Freitas, David Mota, David Coelho, Humberto Fontinele, Alexandre Coelho, Jarbas Silveira, Lirida Naviner, Joao Mota, Cesar Marcon

    Published 2024-01-01
    “…The diversity of nanosatellite applications is increasingly attracting the scientific community’s attention. …”
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  5. 185

    Far from Perfect: Quantum Error Correction with (Hyperinvariant) Evenbly Codes by Matthew Steinberg, Junyu Fan, Robert J. Harris, David Elkouss, Sebastian Feld, Alexander Jahn

    Published 2025-08-01
    “…Our work indicates that Evenbly codes may show promise for practical quantum computing applications.…”
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  6. 186

    DEM-based topographic change detection considering the spatial distribution of errors by Yufeng He, Shaohua Lei, Wen Dai, Xi Chen, Bo Wang, Yehua Sheng, Hui Lin

    Published 2025-03-01
    “…Digital Elevation Model (DEM) errors tend to be spatially correlated, inevitably affecting DEM-based topographic change detection. …”
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  7. 187

    On the move: Influence of animal movements on count error during drone surveys by Emma A. Schultz, Natasha Ellison‐Neary, Melanie R. Boudreau, Garrett M. Street, Landon R. Jones, Kristine O. Evans, Raymond B. Iglay

    Published 2024-10-01
    “…However, drone‐based surveys may also introduce counting errors, especially when monitoring mobile animals. …”
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  8. 188
  9. 189

    Square-root lasso under correlated regressors: Tight statistical analysis with a wireless communications application by Ayed M. Alrashdi, Masad A. Alrasheedi

    Published 2024-11-01
    “…We analyzed its performance using several metrics, such as root-mean-squared error (r.m.s.e.), mean absolute error (m.a.e.), cosine similarity, and true/false recovery rates. …”
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  10. 190
  11. 191

    Exploring error estimates of Newton-Cotes quadrature rules across diverse function classes by Abdelghani Lakhdari, Muhammad Uzair Awan, Silvestru Sever Dragomir, Hüseyin Budak, Badreddine Meftah

    Published 2025-01-01
    “…The research synthesizes and extends existing knowledge, providing a nuanced understanding of how error bounds depend on the characteristics of integrated functions. …”
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  14. 194

    Modified Two-Parameter Ridge Estimators for Enhanced Regression Performance in the Presence of Multicollinearity: Simulations and Medical Data Applications by Muteb Faraj Alharthi, Nadeem Akhtar

    Published 2025-07-01
    “…Our simulations show that the proposed estimators consistently minimize the MSE better than OLS and other ridge estimators, particularly in datasets with strong multicollinearity and large error variances. We further validate their practical value through applications using two real-world datasets, demonstrating both their robustness and theoretical alignment.…”
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  15. 195
  16. 196

    An improved GM(1,1) model based on weighted MSE and optimal weighted background value and its application by Won-Chol Yang, Song-Chol Ri, Kyong-Su Ri, Chol-Ryong Jo, Jin-Sim Kim

    Published 2024-12-01
    “…We proposed an improved GM(1,1) model based on weighted mean squared error (MSE) and optimal weighted background value: OB-WMSE-GM(1,1). …”
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  17. 197
  18. 198

    Continuity Results and Error Bounds on Pseudomonotone Vector Variational Inequalities via Scalarization by Xin Zuo, Hong-Zhi Wei, Chun-Rong Chen

    Published 2016-01-01
    “…Furthermore, error bounds for the weak vector variational inequality in terms of two known regularized gap functions are also obtained, under strong pseudomonotonicity assumptions.…”
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  19. 199

    Research on channel-fixed delay error estimation of wideband digital array radar by Xiaobei ZHANG, Quan ZHANG, Ming FANG, Kun QIN, Qi ZHANG

    Published 2023-03-01
    “…A channel-fixed delay error estimation method was proposed to tackle the performance degradation of digital beamforming caused by the channel-fixed delay error of wideband digital array radar.First, the integer part of the fixed delay of the channel was estimated through the correlation integral peak of the baseband transmitted signal and the baseband received signal containing unknown delay parameters.Then, the fractional part of the fixed delay of the channel was estimated with parabolic interpolation by using the correlation peak and its adjacent two points.Finally, the multi-channel fixed delay error was calculated and compensated.The simulation results show that the multi-channel fixed delay estimation of wideband digital array radar can be realized on Xilinx xcku115.The estimative precision can reach 0.001~0.014 times the sampling gap when the signal-to-noise ratio of the input signal is 10~30 dB.The proposed method can meet the engineering application requirements and improve the performance of digital beamforming in wideband digital array radar.…”
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  20. 200

    Error correction in the transmission and processing of information, provided in RNS, by method of syndrome decoding by Nikolay Ivanovich Chervyakov, Nikolay Nikolaevich Nagornov

    Published 2022-09-01
    “…Shown the complete algorithm for error correction in information and control bases by the syndrome decoding method and examples of its practical application. …”
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