This paper gives an overview of research in the area of adaptive structures. A general description of smart material systems is given. Particular focus is given to the following fields of application: semi-passive concepts, energy harvesting, semi-active concepts, active vibration control, and active structural acoustic control. The use of adaptive structures in structural health monitoring app...

Unlabelled examples in supervised learning tasks can be optimally exploited using semi-supervised methods and active learning. We focus on ranking learning from pairwise instance preference to discuss these important extensions, semi-supervised learning and active learning, in the probabilistic framework of Gaussian processes. Numerical experiments demonstrate the capacities of these techniques.

This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learning. First, we propose the semi-supervised learning method of ADN. ADN is constructed by Restricted Boltzmann Machines (RBM) with unsupervised learning using labeled data and abundant of unlabeled data. Then the constru...

The paper describes the results of the EC COPERNICUS-Project SADTS (= Semi-Active Damping of Truck Suspensions and its Influence on Drivers and Road Loads). This research project investigated the potential of semi-active truck suspensions optimised for road-friendliness. The improvements are compared to modern passive air springs.