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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search)
algorithm cell » algorithm cl (Expand Search), algorithm could (Expand Search), algorithms real (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
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Supplementary file 1_Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules.docx
Published 2025“…The extracted parameters for each case study are used to reconstruct the I–V and power–voltage (P–V) characteristic curves for the respective solar cell and photovoltaic module technologies. To validate the performance and efficiency of the algorithm, various statistical criteria are computed, including individual absolute error (IAE), relative error (RE), root mean square error (RMSE), mean absolute error (MAE), standard deviation (SD), tracking signal (TS), normalized forecast measure (NFM), and the autocorrelation function (ACF). …”
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DataSheet_1_Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planning.pdf
Published 2023“…Superiorization combines a feasibility-seeking projection algorithm with objective function reduction: The underlying projection algorithm is perturbed with gradient descent steps to steer the algorithm towards a solution with a lower objective function value compared to one obtained solely through feasibility-seeking.…”
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DataSheet_1_Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planning.pdf
Published 2023“…Superiorization combines a feasibility-seeking projection algorithm with objective function reduction: The underlying projection algorithm is perturbed with gradient descent steps to steer the algorithm towards a solution with a lower objective function value compared to one obtained solely through feasibility-seeking.…”
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DataSheet_1_Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planning.pdf
Published 2023“…Superiorization combines a feasibility-seeking projection algorithm with objective function reduction: The underlying projection algorithm is perturbed with gradient descent steps to steer the algorithm towards a solution with a lower objective function value compared to one obtained solely through feasibility-seeking.…”
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Protection of data-inferred tasks reduces the influence of extraction methods on model content.
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Predictive performance evaluation on real heart data with selected cell types.
Published 2025Subjects: -
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DataSheet1_Bayesian hidden mark interaction model for detecting spatially variable genes in imaging-based spatially resolved transcriptomics data.PDF
Published 2024“…Auxiliary variable MCMC algorithms were employed to sample from the posterior distribution with an intractable normalizing constant. …”
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Overcoming limitations in sparse cell-type predictions for a biologically reliable task.
Published 2025Subjects: -
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Spatial characterization of cancer-associated cell types in human breast cancer malignancies.
Published 2025Subjects: -
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