Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
In this paper we investigate the effect of three time-triggered system rejuvenation policies on service availability using a queuing model. The model is formulated as an extended ...
The aim of this work is to show the ability of finite-state transducers to simultaneously translate speech into multiple languages. Our proposal deals with an extension of stocha...
This paper introduces the Stochastic Project Scheduling Simulation (SPSS) system and two additional useful statistical analysis tools. SPSS integrates CPM, PERT, and Discrete Even...
In this paper, we consider a variant of an M/M/c/c loss system with fluctuating server capacity. Given a set of primary inputs, such as arrival rate, service rate, and capacity fl...