We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
When utilizing reconfigurable hardware there are many applications that will require more memory than is available in a single hardware block. While FPGAs have tools and mechanisms...
A new scalable optical network infrastructure SMART is proposed based on light-trails and hypernetwork architecture. The underlying physical network of SMART is a reconfigurable WD...
Acquisition of pervasive sensor data can be often unsuccessful due to power outage at nodes, time synchronization issues, interference, network transmission failures or sensor har...
M. Michalopoulos, Christos Anagnostopoulos, Charal...