Data Farming leverages high performance computing to run simple models many times. This process allows for the exploration of massive parameter spaces relatively quickly. This pap...
Discrete sampling data is used in several environmental studies to create maps in order to support decision-making processes. The decision maps represent an increasing importance i...
Simulation is widely used as a tool for analyzing business s but is mostly focused on examining rather abstract steady-state situations. Such analyses are helpful for the initial d...
Anne Rozinat, Moe Thandar Wynn, Wil M. P. van der ...
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Today’s CPUs consume a significant amount of power and generate a high amount of heat, requiring an active cooling system to support reliable operations. In case of cooling sys...