The recent past has seen a tremendous increase in the size of design circuits that can be implemented in a single FPGA. These large design sizes significantly impact cycle time du...
Timing budgeting under process variations is an important step in a statistical optimization flow. We propose a novel formulation of the problem where budgets are statistical ins...
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
In this paper I describe a new and exciting application of optimization technology. The problem is to design a space telescope capable of imaging Earth-like planets around nearby s...