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  1. Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering

    Published in Econometrics (2024)
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  2. Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices

    Published in Econometrics (2023)
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  3. Variable Parameter, Fractional Order, Discrete, Inertial Transfer Function Models

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  4. Robustness Enhancement of a Dynamic Object Model against Adversarial Attacks

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  5. Improved BAS-BiLSTM-Attention model for wind power forecasting

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  6. Mathematical Modeling and Control of Drone Swarm Coordination Using PD Approach

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  7. Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease

    Published in Analytical Science Advances (2026)
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  8. Effect of Caffeine on Some Selected Biochemical Parameters Using Rat Model

    Published in Advances in Biology (2017)
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  9. Dynamic Modeling and Simulation Analysis of an Arm Rehabilitation Robot With Mobile Platform

    Published in Applied Bionics and Biomechanics (2025)
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  10. Leveraging single-cell foundation models for accurate survival outcome prediction

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  11. BCGLMs: Bayesian modeling for disease prediction using compositional microbiome features

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  12. Deep learning for regulatory genomics: a survey of models, challenges, and applications

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  13. Approximate solution for a malaria model using the homotopy analysis method

    Published in Biometrical Letters (2025)
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  14. A preliminary framework to model wing polyphenism in aphids threatened by predators

    Published in BioRisk (2026)
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  15. Energy modelling of the economic and environmental sustainability of rice farming in southern Brazil

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  16. The L. landraces distribution patterns in Madeira: a modelling approach with maxent

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  17. A review of environmental and anthropogenic variables used to model jaguar occurrence

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  18. Assessment of Bird Strike Likelihood to Refine Bird Strike Risk Models

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  19. New pathogenic insights from large animal models of neurodegenerative diseases

    Published in Protein & Cell (2022)
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  20. Achieving convergence in galaxy formation models by augmenting -body merger trees

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