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    Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS by Adel T. Abbas, Mohanad Alata, Adham E. Ragab, Magdy M. El Rayes, Ehab A. El Danaf

    Published 2017-01-01
    “…In addition, a mathematical model for surface roughness was obtained from the experimental data using a regression analysis method. …”
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  16. 1056

    Statistical and SWAT Model-Based Performance Evaluation of RCMs in Modeling Streamflow and Sediment Yield at Upper Awash Sub-Basin, Ethiopia by Bekan Chelkeba Tumsa

    Published 2022-01-01
    “…The focus of this study was to evaluate the performance of the regional climate models with regard to simulating streamflow, sediment yield, precipitation, and temperatures. …”
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  17. 1057

    Modeling Nonusers’ Behavioral Intention towards Mobile Chatbot Adoption: An Extension of the UTAUT2 Model with Mobile Service Quality Determinants by Gatzioufa Paraskevi, Vaggelis Saprikis, Giorgos Avlogiaris

    Published 2023-01-01
    “…Data analysis, based on the partial least squares structural equation modeling (PLS-SEM) statistical method, revealed that performance expectancy, facilitating factors, hedonic motivation, mobility, trust, and service quality positively affect nonusers’ behavioral intention to adopt chatbots. …”
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  18. 1058

    A Stochastic Model of Stress Evolution in a Bolted Structure in the Presence of a Joint Elastic Piece: Modeling and Parameter Inference by Mohammed Haiek, Youness El Ansari, Nabil Ben Said Amrani, Driss Sarsri

    Published 2020-01-01
    “…Next, we validate statistically our proposed stochastic model, and we use the maximum likelihood estimation method based on Euler–Maruyama scheme to estimate the parameters of this model. …”
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  19. 1059

    Metric-affine cosmological models and the inverse problem of the calculus of variations. Part II: Variational bootstrapping of the $$\Lambda $$ Λ CDM model by Ludovic Ducobu, Nicoleta Voicu

    Published 2025-01-01
    “…In the present paper, we apply variational bootstrapping to determine metric-affine models which are, in a variational sense, closest to the $$\Lambda $$ Λ CDM model of cosmology. …”
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  20. 1060

    Chemical Feature-Based Molecular Modeling of Urotensin-II Receptor Antagonists: Generation of Predictive Pharmacophore Model for Early Drug Discovery by Anubhuti Pandey, Sarvesh Kumar Paliwal, Shailendra Kumar Paliwal

    Published 2014-01-01
    “…Multiple validation techniques like CatScramble, test set prediction, and mapping analysis of advanced known antagonists have been employed to check the predictive power and robustness of the developed model. The results demonstrate that the best model, Hypo 1, shows a correlation (r) of 0.902, a root mean square deviation (RMSD) of 0.886, and the cost difference of 39.69 bits. …”
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