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matlab r2024b  (MathWorks Inc)


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    MathWorks Inc matlab r2024b
    Matlab R2024b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2305 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+r2024b/Statistics+and+Machine+Learning+Toolbox/bio_rxiv__64898__2026__03__18__712638-193-5-7
    Average 96 stars, based on 2305 article reviews
    matlab r2024b - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China
    Article Snippet: Hyperparameter tuning was performed in MATLAB R2024b (Statistics and Machine Learning Toolbox) using Bayesian optimization with the expected-improvement-plus acquisition function.

    Article Title: Understanding Immune Dynamics in Liver Transplant Through Mathematical Modeling
    Article Snippet: We used MATLAB R2024b to conduct a global sensitivity analysis using the Sobol’ method.

    Article Title: From Breath to Behavior: Respiratory Features Predict Visual Detection Performance
    Article Snippet: All analyses were implemented in MATLAB R2024b (MathWorks; Statistics and Machine Learning Toolbox); circular tests used standard implementations (e.g., Circular Statistics Toolbox).

    Article Title: Understanding Immune Dynamics in Liver Transplant Through Mathematical Modeling
    Article Snippet: After parameterizing the model, we put the model and parameter values into MATLAB R2024b and plotted solutions to the system.

    Article Title: Quantitative assessment and predictive modelling of stem damage during seedling separation in mechanical rice transplanting
    Article Snippet: Rice seedling stems are particularly vulnerable to structural damage during the seedling separation phase of mechanical transplanting, especially under non-ideal plant-machine interactions.. Owing to its internal and transient nature, such damage is inherently difficult to quantify or predict.. This study presents a novel modelling framework for stem damage assessment, which establishes a quantitative relationship between the maximum impact load (Fmax) during seedling separation and internal damage severity, quantified by the damaged area ratio (Dar).

    Article Title: MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification
    Article Snippet: This experiment was implemented using MATLAB R2024b.

    Article Title: Biomechanical Phenotyping Reveals Unique Mechanobiological Signatures of Early-Onset Colorectal Cancer
    Article Snippet: All calculations, group averaging, plotting, and biomechanical modeling were carried out using MATLAB R2024b (Mathworks, Natick, MA), unless otherwise specified.

    Article Title: Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China.
    Article Snippet: Hyperparameter tuning was performed in MATLAB R2024b (Statistics and Machine Learning Toolbox) using Bayesian optimization with the expected-improvement-plus acquisition function.



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