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Comprehensive review of models and methods for inferences in bio-chemical reaction networks
The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …
chemical reactions. From molecular biology to biotechnology applications, computational …
ControCity: an autonomous approach for controlling elasticity using buffer Management in Cloud Computing Environment
Cloud computing has been one of the most popular distributed computing paradigms.
Elasticity is a crucial feature that distinguishes cloud computing from other distributed …
Elasticity is a crucial feature that distinguishes cloud computing from other distributed …
Mobile agent path planning under uncertain environment using reinforcement learning and probabilistic model checking
The major challenge in mobile agent path planning, within an uncertain environment, is
effectively determining an optimal control model to discover the target location as quickly as …
effectively determining an optimal control model to discover the target location as quickly as …
The exit time finite state projection scheme: bounding exit distributions and occupation measures of continuous-time Markov chains
We introduce the exit time finite state projection (ETFSP) scheme, a truncation-based
method that yields approximations to the exit distribution and occupation measure …
method that yields approximations to the exit distribution and occupation measure …
Bayesian verification of chemical reaction networks
We present a data-driven verification approach that determines whether or not a given
chemical reaction network (CRN) satisfies a given property, expressed as a formula in a …
chemical reaction network (CRN) satisfies a given property, expressed as a formula in a …
Geometric fluid approximation for general continuous-time Markov chains
Fluid approximations have seen great success in approximating the macro-scale behaviour
of Markov systems with a large number of discrete states. However, these methods rely on …
of Markov systems with a large number of discrete states. However, these methods rely on …
Probabilistic model checking for continuous time markov chains via sequential bayesian inference
Probabilistic model checking for systems with large or unbounded state space is a
challenging computational problem in formal modelling and its applications. Numerical …
challenging computational problem in formal modelling and its applications. Numerical …
[PDF][PDF] Extinction probability of the stochastic model SEIRS
HY Talkibing, D Barro, O Fabrice - 2020 - researchgate.net
The dynamics of disease transmission is still a major problem in mathematical
epidemiology. In this work, we study the extinction probability of a stochastic SEIRS-type …
epidemiology. In this work, we study the extinction probability of a stochastic SEIRS-type …