Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
Reports of experiments conducted with an Inductive Logic Programming system rarely describe how specific values of parameters of the system are arrived at when constructing model...
- Micromachined power sensors with operation up to 50 GHz were recently achieved in CMOS technology [1]. To improve their sensitivity and signal-to-noise ratio, while maintaining m...
V. Milanovic, M. Hopcroft, C. A. Zincke, M. Gaitan...
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
An optimization method is introduced for generating minimum-length test sequences taking into account timing constraints for FSM models of communication protocols. Due to active t...