Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...
Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring techni...
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
—In the future smart city, new information and communication technologies will enable a better management of the available resources. The future smart grid infrastructure is emer...
This paper presents our experience towards the conception of a virtual reality medical simulator coupled with haptic interaction aimed at training surgeons. This area of research h...