Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...

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Abstract: Reversible circuit synthesis is critical for quantum computing, but existing methods suffer from high gate counts that increase error susceptibility. This ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...

Suppose one has to address the maximum number of activities in a day, choosing them from a set of available activities, considering that one cannot handle more than one activity simultaneously. A ...

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