A schematic view of the step-by-step computational approach in the current study. حسب Hamed Rezaei (11085366)

"…<p>(<b>A</b>) modeling and predicting callus formation rate and callus fresh weight (outputs) based on Benzylaminopurine (BAP), Indole-3-butyric acid (IBA), Kinetin (KIN), and α-Naphthaleneacetic acid (NAA) as inputs through three machine learning algorithms including generalized regression neural network (GRNN), multilayer perception (MLP) and radial basis function (RBF); (<b>B</b>) optimization process through a genetic algorithm (GA); and (<b>C-D</b>) confirming the results of the optimization process in the validation experiment for callus formation rate and callus fresh weight, respectively.…"

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

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Left: violin plots of the distributions of amplitude, rise time constant and decay time constant of spontaneous EPSPs recorded in thorny and a-thorny cells (black and red violins,... حسب Daniele Linaro (227790)

الموضوعات:

Curve of step response signal of 6 algorithms. حسب Guangwei Liu (181992)

Working steps and operating algorithm of the developed GSMCS. حسب Abdallah Elshawadfy Elwakeel (19852263)

Particle swarm optimization (PSO) algorithm to identify parameter values of model C-fiber axons and meet performance criteria. حسب Brandon J. Thio (5351147)

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. حسب Omid Chatrabgoun (17960015)

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. حسب Omid Chatrabgoun (17960015)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

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Functional impact of non-preserved modules-based gene ontology (biological processes category). حسب Bahman Panahi (7323578)

الموضوعات:

Convergence curves for multimodal function test. حسب Qinghe Guo (21519322)

Convergence curves for unimodal function test. حسب Qinghe Guo (21519322)

Performance profiles of these algorithms on the basis of the number of function evaluations. حسب Xianfeng Ding (535904)

Selected features via our feature selection algorithm for baseline vs. VNS at 30 Hz (second scenario) and organized in a descending sequence of significance, as established by the... حسب Mahmoud Zeydabadinezhad (12289570)

الموضوعات:

Selected features via our feature selection algorithm for baseline vs. VNS at 10 Hz (first scenario) and organized in a descending sequence of significance, as established by the R... حسب Mahmoud Zeydabadinezhad (12289570)

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Comparison of the results of our code in with references for some cases. حسب Maryam Shadi (14237349)

الموضوعات:

Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5,... حسب Maryam Shadi (14237349)

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The definition of parameters of Eq 1. حسب Maryam Shadi (14237349)

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Fig 9 - حسب Maryam Shadi (14237349)

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Show parameter <i>N</i>_<i>x</i> for different topologies. حسب Maryam Shadi (14237349)

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