Design & implementation of a powered wheelchair control system using EOG signals

In this master’s thesis, we present a new machine learning model for inference in deep Gaussian processes models using an approximate inference technique based on Monte Carlo

In this study, the energy functional proposed in [13] has been chosen as a model and it has been reformulated by using the Sobolev gradient instead of the L 2 gradient and

For this objective, model predictive control techniques have been used; engine models were calculated using EGR valve and start of injection as system inputs, and NOx concentration

– A graphical modelling tool, based on the previously defined meta-model, has been implemented in order to help designers to build new state-machine models.. This tool, together with

Based on these recent approaches, in this paper, we study the relation between interregional trade flows of services linked to the tourism sector using a gravity model that relies

Consequently, in this thesis we have generated two cellular models, a mouse model based on NURR1 overexpression in neural stem cells, and a human model based

Theorem 2.5 If f λ 1 ,...,λ l is an l–parameter family of real analytic S–unimodal maps of an interval, depending in a real analytic fashion on the parameter(s), such that the

In this paper a hardware implementation of the in- stantaneous frequency of the phonocardiographic sig- nal is proposed, based on the definition given by Ville (Ville 1948) and