To improve situational awareness in power systems, one useful tool used in control centers is bus (or substation) data contouring. Traditionally, the methods developed have used C...
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
The simulation of chemical reacting systems is one of the most challenging topics in Systems Biology, due to their complexity and inherent randomness. The Gillespie's Stochas...
Endmember extraction is an important technique in the context of spectral unmixing of remotely sensed hyperspectral data. Winter's N-FINDR algorithm is one of the most widely...
Background: Many analyses of microarray association studies involve permutation, bootstrap resampling and crossvalidation, that are ideally formulated as embarrassingly parallel c...
Ivo D. Shterev, Sin-Ho Jung, Stephen L. George, Ko...