Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradientbased dec...
Carrick Detweiler, Marek Doniec, Mingshun Jiang, M...
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
We are presenting a progress overview associated with our work on a data-driven environment for multiphysics applications (DDEMA). In this paper, we emphasize the dynamic-data-driv...
John Michopoulos, Charbel Farhat, Elias N. Houstis...
The POEMS project is creating an environment for end-to-end performance modeling of complex parallel and distributed systems, spanning the domains of application software, runti...