How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

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 ...

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 ...

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 ...

Discover why Microsoft is a top buy with strong AI-driven growth, rising Azure revenue, and 113% price upside.

A distributed stochastic model predictive control (DSMPC) algorithm is proposed for the cooperative control of a heterogeneous unmanned aerial vehicle (UAV) swarm in the presence of external ...