Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
In this paper we tackle some of the most pressing obstacles of the emerging Linked Data Web, namely the quality, timeliness and coherence as well as direct end user benefits. We p...
Sebastian Tramp, Philipp Frischmuth, Timofey Ermil...
The recent Heliophysics Virtual Observatory (VxO) effort involves the development of separate observatories with a low overlap in physical domain or area of scientific specializat...
Robert S. Weigel, Mikhail N. Zhizhin, Dmitry Mishi...
The automotive engine performance is greatly affected by the calibration of its electronic control unit (ECU). The method for ECU calibration is traditionally done by trial-and-er...
The newsvendor problem describes the dilemma of a newspaper salesman—how many papers should he purchase each day to resell, when he doesn’t know the demand? We develop approach...