This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
We present the development and tuning of a topic-adapted language model for word prediction, which improves keystroke savings over a comparable baseline. We outline our plans to d...
The paper presents a pattern-oriented agent-based model to simulate the dynamics of a stock market. The model generates satisfactory market macro-level trend and volatility while t...
A compact delay model for series connected MOSFETs has been derived. This model enables accurate prediction of worst-case delay of different logic families such as dynamic logic. ...
: In the context of the MAPPER project, the paper presents an approach for model based methodology engineering with the mission of supporting the creation and utilisation of a holi...
Svein G. Johnsen, Rolf Kenneth Rolfsen, Hilda Tell...