Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
We present a novel experience based sampling or experiential sampling technique which has the ability to focus on the analysis’s task by making use of the contextual information...
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
This paper introduces an exact schedulability analysis for the optional computation model urider a specified failure hypothesis. From this analysis, we propose a solutionfor deter...