We study the dynamics of a simple bistable system driven by multiplicative correlated noise. Such system mimics the dynamics of classical attractor neural networks with an addition...
Temporal dependence within the workload of any computing or networking system has been widely recognized as a significant factor affecting performance. More specifically, burstin...
Evgenia Smirni, Qi Zhang, Ningfang Mi, Alma Riska,...
Trip planning and in-vehicle navigation are crucial tasks for easier and safer driving. The existing navigation systems are based on machine intelligence without allowing human kn...
The high dimensionality of system observation, together with the frequent changes of system normal behavior resulting from workload variations, makes fault detection very difficu...
Distributed hard real-time systems have become a major component of many advanced technical products. Means to ensure their proper quality are thus of paramount importance. To ens...