Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
This paper presents the Quantum-Dot Cellular Automata (QCA) physical design problem, in the context of the VLSI physical design problem. The problem is divided into three subprobl...
Dominic A. Antonelli, Danny Z. Chen, Timothy J. Dy...
Piecewise linear networks (PLNs) are attractive because they can be trained quickly and provide good performance in many nonlinear approximation problems. Most existing design alg...
Hema Chandrasekaran, Jiang Li, W. H. Delashmit, Pr...
Test access is a major problem for core-based systemon-chip (SOC) designs. Since cores in an SOC are not directly accessible via chip inputs and outputs, special access mechanisms...
The aim of the PhD thesis is the development of systematic methodologies both for hardware and software level for designing low-energy and performance efficient reconfigurable sys...
K. Siozios, Dimitrios Soudris, Adonios Thanailakis