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    Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

    Published 2024-12-01
    “…The experimental results show that, compared with the original ResNet model, the proposed AVMD-DAMResNet model improves the coefficient of determination (R<sup>2</sup>) by 5.8%, reduces the root mean square error (RMSE) by 31.2%, and decreases the mean absolute percentage error (MAPE) by 31.4%. …”
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  4. 384

    Joint Event Density and Curvature Within Spatio-Temporal Neighborhoods-Based Event Camera Noise Reduction and Pose Estimation Method for Underground Coal Mine by Wenjuan Yang, Jie Jiang, Xuhui Zhang, Yang Ji, Le Zhu, Yanbin Xie, Zhiteng Ren

    Published 2025-04-01
    “…The maximum absolute trajectory error of the localization method is 2.365 cm, and the mean square error is reduced by 2.263% compared with the unfiltered event localization method.…”
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    Uncertainty of sound insulation measurement in laboratory by Tadeusz Wszołek

    Published 2014-01-01
    “…Some difficulties may be caused by non-diffuse acoustic fields, non uniform reverberation time or errors of the reverberation time measurements. Some minor problems are also posed by flanking transmission and the S/N ratio. …”
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  8. 388

    Decentralized state estimation for different substructure layouts of an adaptive high-rise structure by Charlotte Stein, Amelie Zeller, Spasena Dakova, Michael Böhm, Oliver Sawodny, Cristina Tarín

    Published 2024-12-01
    “…For more substructures the estimation error increases. Depending on the layout, communicating is beneficial, but a full interconnection is not necessary for a sufficient estimation. …”
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  9. 389

    Peak-to-average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization-based partial transmit sequence model by Vandana Tripathi, Prabhat Patel, Prashant Kumar Jain, Shailja Shukla

    Published 2025-04-01
    “…Several peak-to-average power ratio (PAPR) reduction methods have been used in orthogonal frequency division multiplexing (OFDM) applications. …”
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    High-Precision Control of Control Moment Gyroscope Gimbal Servo Systems via a Proportional–Integral–Resonant Controller and Noise Reduction Extended Disturbance Observer by Zhihao Lu, Zhong Wu

    Published 2025-04-01
    “…NREDO states are updated by using the estimation error of the augmented state. The NREDO significantly enhances the measurement noise suppression performance compared with an EDO. …”
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  12. 392

    Задача целочисленного сбалансирования трехмерной матрицы и алгоритмы ее решения by V. S. Roublev, A. V. Smirnov

    Published 2010-06-01
    “…The problem of minimization of the errors of rounding off in the problem of integer-valued balancing is explored.…”
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    IMPLEMENTATION OF MONTE CARLO MOMENT MATCHING METHOD FOR PRICING LOOKBACK FLOATING STRIKE OPTION by Komang Nonik Afsari Dewi, Donny Citra Lesmana, Retno Budiarti

    Published 2022-12-01
    “…The results obtained by adding variance reduction moment matching in Monte Carlo method, which produces a relatively had smaller error when compared to the relative error of the standard Monte Carlo method. …”
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    A Novel Solution Technique for the Expansion Planning of Modern Distribution Systems: A Feasibility-Driven Approach by Jonathan A. Marcelo, Gregorio Munoz-Delgado, Javier Contreras, Jose R. Sanches Mantovani

    Published 2025-01-01
    “…Furthermore, the model guarantees CO2 reduction in order to be on track to limit global warming. …”
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  18. 398

    Phone‐nomenon 2.0: A compact thermal model for smartphones by Yu‐Min Lee, Hong‐Wen Chiou, Shinyu Shiau, Chi‐Wen Pan, Shih‐Hung Ting

    Published 2023-03-01
    “…Compared with a commercial tool, ANSYS Icepak, Phone‐nomenon.Iter can achieve two orders of magnitude speedup with the maximum error being less than 1.90% for steady‐state simulations and three orders of magnitude speedup with the temperature difference being less than 0.65°C for transient simulations. …”
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  19. 399

    Real-Time DTM Generation with Sequential Estimation and OptD Method by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki, Andrea Masiero

    Published 2025-04-01
    “…The accuracy of the generated DTM was assessed using root mean square error (RMSE) metrics, with values ranging from 0.041 m to 0.121 m, depending on the reduction level. …”
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