Many reverse-engineering tools have been developed to detract representations from source code. Yet, most of these tools completely ignore recovery of the all-important rationale ...
In this paper, we present linear processor array architectures for flexible approximate string matching. These architectures are based on parallel realization of dynamic programmi...
Panagiotis D. Michailidis, Konstantinos G. Margari...
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
This paper focuses on generating efficient software pipelined schedules for in-order machines, which we call Converged Trace Schedules. For a candidate loop, we form a string of t...
Pattern matching is essential to a wide range of applications such as network intrusion detection, virus scanning, etc. Pattern matching algorithms normally rely on state machines...