Search Results for author:
Found 7 papers, 1 papers with code
Accurate and fast anomaly detection in industrial processes and IoT environments
We present a novel, simple and widely applicable semi-supervised procedure for anomaly detection in industrial and IoT environments, SAnD (Simple Anomaly Detection).
Coarse-graining Complex Networks for Control Equivalence
The ability to control complex networks is of crucial importance across a wide range of applications in natural and engineering sciences.
Optimality-preserving Reduction of Chemical Reaction Networks
In many applications, for example, in systems biology and epidemiology, CRN parameters such as the kinetic reaction rates can be used as control inputs to steer the system toward a given target.
Automated and Distributed Statistical Analysis of Economic Agent-Based Models
We propose a novel approach to the statistical analysis of stochastic simulation models and, especially, agent-based models (ABMs).
Quantitative Security Risk Modeling and Analysis with RisQFLan
Domain-specific quantitative modeling and analysis approaches are fundamental in scenarios in which qualitative approaches are inappropriate or unfeasible.
Cryptography and Security Software Engineering
Exact maximal reduction of stochastic reaction networks by species lumping
Motivation: Stochastic reaction networks are a widespread model to describe biological systems where the presence of noise is relevant, such as in cell regulatory processes.
Improved estimations of stochastic chemical kinetics by finite state expansion
The deterministic rate equation (DRE) gives a macroscopic approximation as a compact system of differential equations that estimate the average populations for each species, but it may be inaccurate in the case of nonlinear interaction dynamics.
