The Constraint Problems usually addressed fall into one of two models: the Constraint Satisfaction Problem (CSP) and the Constraint Optimization Problem (COP). However, in many rea...
This paper proposes a method to solve problem that comes with imbalanced training sets which is often seen in the practical applications. We modied Self Growing Neural Network Co...
Multiple-valued decision diagrams (MDDs) give a way of approaching problems by using symbolic variables which are often more naturally associated with the problem statement than t...
Statechart Diagrams provide a graphical notation for describing dynamic aspects of system behaviour within the Unified Modeling Language (UML). In this paper we present a branchin...
Partial order methods have been introduced to avoid the state explosion problem in veri cation resulting from the representation of multiple interleavings of concurrent transitions...