Stochastic simulation of soil moisture dynamics in farmland in the eastern region of the Songnen Plain. [PDF]
Meng B +5 more
europepmc +1 more source
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li +5 more
wiley +1 more source
Optimization of breeding program design through stochastic simulation with evolutionary algorithms. [PDF]
Hassanpour A +4 more
europepmc +1 more source
RSSALib: a library for stochastic simulation of complex biochemical reactions. [PDF]
Thanh VH.
europepmc +1 more source
Could a rabies incursion spread in the northern Australian dingo population? Development of a spatial stochastic simulation model. [PDF]
Gabriele-Rivet V +4 more
europepmc +1 more source
Simulation or cohort models? Continuous time simulation and discretized Markov models to estimate cost-effectiveness [PDF]
The choice of model design for decision analytic models in cost-effectiveness analysis has been the subject of discussion. The current work addresses this issue by noting that, when time is to be explicitly modelled, we need to represent phenomena ...
Marta O Soares, L Canto e Castro
core
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
State-space modelling for infectious disease surveillance data: Stochastic simulation techniques and structural change detection. [PDF]
Prashad CD.
europepmc +1 more source
Stylized Facts and Discrete Stochastic Volatility Models [PDF]
This paper highlights the ability of the discrete stochastic volatility models to predict some important properties of the data, i.e. leptokurtic distribution of the returns, slowly decaying autocorrelation function of squared returns, the Taylor effect ...
Alin Sima
core

