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Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Abstract: Symmetric encryption algorithms learned by the previous proposed end-to-end adversarial network encryption communication systems are deterministic. With the same key and same plaintext, the ...

This is a simple single page web-application calculator to demonstrate Search the word in the given text document by the use of NFA and conversion from Regular Expression to Non-deterministic automata ...

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Abstract: A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time. Extreme learning machine ...

Faculty of Social and Economic Sciences, Institute of Public Policy and Economics, Comenius University in Bratislava, Mlynske luhy 4, Bratislava, Slovakia. We analyze an infinite horizon discrete time ...

ABSTRACT: In this paper is demonstrated a method for reduction of integer factorization problem to an analysis of a sequence of modular elliptic equations. As a result, the paper provides a ...

While the scope of our presentation and evaluation is restricted to planning with initial state uncertainty and deterministic actions, some of the planning graph techniques can be extended to include ...