— This paper extends a state projection method for structure preserving model reduction to situations where only a weaker notion of system structure is available. This weaker not...
Enoch Yeung, Jorge M. Goncalves, Henrik Sandberg, ...
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Abstract. With ever increasing amount of available data on protein-protein interaction (PPI) networks and research revealing that these networks evolve at a modular level, discover...
Abstract. In this paper we introduce Spatio-TEmporal Parametric Stepping (STEPS) - a simple parametric mobility model which can cover a ectrum of human mobility patterns. STEPS mak...
We show in this paper how several proposed Physical Unclonable Functions (PUFs) can be broken by numerical modeling attacks. Given a set of challenge-response pairs (CRPs) of a PU...