Abstract: The stochastic uncertainty of wind speed presents a significant challenge for ensuring reliable power control in wind energy conversion system (WECS). Stochastic model predictive control ...
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
AZoLifeSciences on MSN
Scientists develop noise controller to tame random cell behavior
Why does cancer sometimes recur after chemotherapy? Why do some bacteria survive antibiotic treatment? In many cases, the ...
Learn With Jay on MSN
Mini-batch gradient descent in deep learning explained
Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...
New math model controls biological noise at single-cell level, offering a path to tackle cancer relapse and drug resistance.
Why does cancer sometimes recur after chemotherapy? Why do some bacteria survive antibiotic treatment? In many cases, the answer appears to lie not in genetic differences, but in biological noise - ...
Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A CLI interface for the implementation of the stochastic finite-fault model. Particularly, we provide extra capabilities in modeling some key parameters as random variables to account for variability.
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