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A comprehensive framework for solution space exploration in community detection. [PDF]
Morea F, De Stefano D.
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A Q-learning-based hybrid search algorithm integrating PRM and ACO for 3D UAV path planning. [PDF]
Liu S, Cui Y, Yu Y, Hu W.
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Development of crow search algorithm using the characteristics of qubits and application of engineering problems. [PDF]
Lee D, Lee S.
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Intelligent particle filtering state observer for stability assessment in solar-wind penetrated microgrids. [PDF]
Alharbi A.
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Machine learning unlocks robust convergence for chemical process simulations
Jakobs D +2 more
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Categorical Properties of Probabilistic Convergence Spaces
Applied Categorical Structures, 1998It is proved that the category of probabilistic pretopological (or pseudotopological) spaces is the extensional topological hull (or cartesian-closed extensional topological hull, resp.) of the category \(F_T\)-diagonal probabilistic convergence spaces for any triangular norm \(T\).
Herrlich, Horst, Zhang, Dexue
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Approach Spaces, Limit Tower Spaces, and Probabilistic Convergence Spaces
Applied Categorical Structures, 1997It is shown that the category CAP of convergence approach spaces is isomorphic to the category LTS of limit tower spaces. CAP has, as objects, pairs \((X,\lambda)\), where \(X\) is a set and \(\lambda:F(X)=\) (the set of filters on \(X)\to[0, \infty]^X\) satisfies (1) \(\lambda(\dot x)(x)=0\), where \(\dot x\) is the filter generated by \(\{x\}\), and ...
Brock, Paul, Kent, D. C.
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Probabilistic uniform convergence spaces redefined
Acta Mathematica Hungarica, 2015Probabilistic uniform convergence spaces form a generalization of both uniform convergence spaces and probabilistic uniform spaces. In this paper the authors develop a theory of probabilistic uniform convergence spaces based on Tardiff's neighbourhood systems for probabilistic metric spaces. The generalization solves two problems.
Ahsanullah, T. M. G., Jäger, G.
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