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mathematical software program matlab r2020a  (MathWorks Inc)


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    MathWorks Inc mathematical software program matlab r2020a
    Mathematical Software Program Matlab R2020a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mathematical+software+program/pm34668436-123-9-11
    Average 90 stars, based on 1 article reviews
    mathematical software program matlab r2020a - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Bioprocessing:

    Article Title: Connectivity and function are coupled across cognitive domains throughout the brain
    Article Snippet: .. Then that optimal lambda was used to fit a ridge regression model (Matlab R2020a, fitrlinear) to the HCP connectivity data and NeuroQuery meta-analytic map. ..

    other:

    Article Title: Higher involvement of synergistic muscle than active muscles in ankle plantar flexion.
    Article Snippet: The sEMG signals were preprocessed, and indices were extracted using MATLAB R2020a (MathWorks, Natick, MA, USA).

    Article Title: Migrating immune cells globally coordinate protrusive forces.
    Article Snippet: Comparison of the temporal cross-correlation of two parameters (central actin intensity, cell area, cell speed) and test for the statistical significance of the temporal offset we used cross-correlation analysis50 with a custom-written MATLAB script (MATLAB, R2020a).

    Article Title: Inhibiting astrocyte calcium dynamics terminates status epilepticus via wireless septal stimulation.
    Article Snippet: The recorded data were further analyzed using MATLAB (version R2020a, MathWorks, USA).


    Magnetic Resonance Imaging:

    Article Title: Neural Convergence of Graded Belief and Binary Belief Uncertainty
    Article Snippet: .. MRI data analysis was conducted with SPM12 (v7738) in MATLAB R2020a. ..

    Selection:

    Article Title: Towards energy-efficient joint relay selection and resource allocation for D2D communication using hybrid heuristic-based deep learning.
    Article Snippet: .. When considering the without relay-based analysis, the suggested mechanism’s network capacity is enhanced by 4.76% Parameter Description Simulation tool MATLAB R2020a Number of simulation runs 30 Random seed 42 HMRFCO population size 10 HMRFCO max iterations 250 Chromosome length 3(sun-channel selection, power allocation, relay index) HMRFCO convergence threshold 1e−5 AResGRU optimizer Adam Learning rate 0.001 Batch size 32 [5–50] Epochs 25 [5–50] Hidden layers (AResGRU) 2 GRU layers[128 and 64 neurons] [5–255] Activation function ReLU Loss function Mean square error (MSE) Evaluation metrics EE, Delay, Throughput, RMSE, MAE, Success rate Table 3. ..

    Activation Assay:

    Article Title: Towards energy-efficient joint relay selection and resource allocation for D2D communication using hybrid heuristic-based deep learning.
    Article Snippet: .. When considering the without relay-based analysis, the suggested mechanism’s network capacity is enhanced by 4.76% Parameter Description Simulation tool MATLAB R2020a Number of simulation runs 30 Random seed 42 HMRFCO population size 10 HMRFCO max iterations 250 Chromosome length 3(sun-channel selection, power allocation, relay index) HMRFCO convergence threshold 1e−5 AResGRU optimizer Adam Learning rate 0.001 Batch size 32 [5–50] Epochs 25 [5–50] Hidden layers (AResGRU) 2 GRU layers[128 and 64 neurons] [5–255] Activation function ReLU Loss function Mean square error (MSE) Evaluation metrics EE, Delay, Throughput, RMSE, MAE, Success rate Table 3. ..



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