This paper explores how a ‘learning’ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling’ using incorporated sensors, which woul...
Siddharth Odedra, Stephen D. Prior, Mehmet Karaman...
Abstract—As the bandwidth of networks is increasing exponentially, the computational cost to simulate such type of networks is also growing in a similar fashion. This paper prese...
Suman Kumar, Seung-Jong Park, S. Sitharama Iyengar...
This paper presents the principles of a Home Automation System dedicated to power management that adapts power consumption to available power ressources according to user comfort a...
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
Caching, symmetries, and search with decomposition are powerful techniques for pruning the search space of constraint problems. In this paper we present an innovative way of effi...