Pattern matching relies on deterministic finite automata (DFA) to search for predefined patterns. While a bit-DFA method is recently proposed to exploit the parallelism in pattern...
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...
Design patterns help to improve communication software quality since they address a fundamental challenge in largescale software development: communicationof architectural knowled...
This paper addresses the problem of pattern noise encountered in single-stage delta-sigma modulators in the presence of a DC input signal. By utilizing state-space matrices, we ex...
This paper presents ontology-based architecture for pattern recognition in the context of static source code analysis. The proposed system has three subsystems: parser, OWL ontolog...