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  1. 1061

    Dunkl Linear Canonical Wavelet Transform: Concentration Operators and Applications to Scalogram and Localized Functions by Saifallah Ghobber, Hatem Mejjaoli

    Published 2025-06-01
    “…Then, using these eigenfunctions, we can effectively approximate functions that are essentially localized in specific regions, and corresponding error estimates are given. These research results cover in particular the classical and the Hankel settings, and have potential application values in fields such as signal processing and quantum physics, providing a new theoretical basis for relevant research.…”
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    Negative Binomial Regression Model Estimation Using Stein Approach: Methods, Simulation, and Applications by Bushra Ashraf, Muhammad Amin, Walid Emam, Yusra Tashkandy, Muhammad Faisal

    Published 2025-01-01
    “…Results from both simulations and real applications demonstrate the superior performance of the proposed estimator over the RE, LE, and MLE.…”
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  6. 1066

    A versatile family of distributions: Log-linear regression model and applications to real data

    Published 2025-04-01
    “…The ExpG-M model's parameter was estimated using both maximum likelihood estimation (MLE) and Bayesian estimation (BE) methods with a square error loss function, also assessed through Monte Carlo simulation studies. …”
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    Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications by Jiace Sun, Lixue Cheng, Shi-Xin Zhang

    Published 2025-06-01
    “…Stabilizer states, which are also known as the Clifford states, have been commonly utilized in quantum information, quantum error correction, and quantum circuit simulation due to their simple mathematical structure. …”
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    Article
  10. 1070

    A Global Method for Approximating Caputo Fractional Derivatives—An Application to the Bagley–Torvik Equation by Maria Carmela De Bonis, Donatella Occorsio

    Published 2024-10-01
    “…As an application, we approximate the solution of a Volterra integral equation, which is equivalent in some sense to the Bagley–Torvik initial value problem, using a Nyström-type method. …”
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  11. 1071

    Application of a Bias Correction Method to Meteorological Forecast for the Pyeongchang Winter Olympic Games by Zhang Yutao, Tong Hua, Sun Jian

    Published 2020-01-01
    “…Compared with, NU-WRF and LDAPS models, the corrected GRAPES_3 km has the best wind speed forecast capability and root mean square error of the wind speed is significantly reduced. …”
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  12. 1072

    Modified Kibria–Lukman Estimator for the Conway–Maxwell–Poisson Regression Model: Simulation and Application by Nasser A. Alreshidi, Masad A. Alrasheedi, Adewale F. Lukman, Hleil Alrweili, Rasha A. Farghali

    Published 2025-02-01
    “…Through rigorous Monte Carlo simulations and real-world applications, our results demonstrate that the CMKLE exhibits superior resilience to multicollinearity while consistently achieving lower mean squared error (MSE) values. …”
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    Application of Fractional Fourier Transform and BP Neural Network in Prediction of Tumor Benignity and Malignancy by Xuanyu Liu, Nan Gao, Shuoran He, Lizhen Wang

    Published 2025-04-01
    “…The findings show great potential for clinical application and future development.…”
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    Drive electrical parameters applicability evaluation to determine loads on bridge crane lifting mechanism by S. D. Ivanov, A. N. Nazarov

    Published 2022-03-01
    “…The necessity of increasing the number of information sources is determined. Application of current parameters of the electric motor as a source of primary information is suggested.Materials and methods. …”
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  18. 1078

    Half logistic exponentiated inverse Rayleigh distribution: Properties and application to life time data. by Juma Salehe Kamnge, Manoj Chacko

    Published 2025-01-01
    “…Moreover, numerical simulations were performed to evaluate these estimation methods for both small and large samples through Monte Carlo simulations, and the finding reveals that the maximum likelihood estimation was the best among all estimation methods since it comprises small mean square error compared to other estimation methods. We employ real-world lifetime data to demonstrate the performance of the newly generated distribution compared to other distributions through practical application. …”
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