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Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks
Published 2021-04-01“…The presented comparative results of the two methods show the applicability of artificial neural networks for solving applied problems of train traction with the possibility of continuous learning, including the use of trip data, which can be directly included in the training or testing set.…”
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Stability of Nonlinear Dirichlet BVPs Governed by Fractional Laplacian
Published 2014-01-01Get full text
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Intratentacular budding and zooid-dynamics in two coral genera
Published 2025-12-01Get full text
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Network topology and entropy analysis of tetragonal farneseite zeolites
Published 2025-04-01Get full text
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A trigonometric function-based big data model for network information security control mechanisms
Published 2025-07-01“…Abstract The study of trigonometric relationships is a result of a combination of mathematics and engineering techniques. It plays an important role in computer network systems, and its applications are involved in all aspects of computer network systems, which mainly include data storage, information retrieval, and retrieval. …”
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Finite difference β-fractional approach for solving the time-fractional FitzHugh–Nagumo equation
Published 2025-06-01Get full text
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The path-label reconciliation (PLR) dissimilarity measure for gene trees
Published 2025-08-01“…The PLR measure advances phylogenetic reconciliation by combining theoretical rigor with practical applicability. Future research will refine its mathematical properties, explore its performance on different types of trees, and integrate it with existing bioinformatics tools for large-scale evolutionary analyses. …”
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Development of data driven models to accurately estimate density of fatty acid ethyl esters
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The Existence and Stability of Integral Fractional Differential Equations
Published 2025-05-01Get full text
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Quick design of feasible tensor networks for constrained combinatorial optimization
Published 2025-07-01“…Recently, a quantum-inspired solver using tensor networks has been proposed, which works on classical computers. Particularly, tensor networks have been applied to constrained combinatorial optimization problems for practical applications. …”
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Many-to-Many Multicast Routing Schemes under a Fixed Topology
Published 2013-01-01Get full text
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A Comparative Analysis of Machine Learning Models in News Categorization
Published 2024-07-01Get full text
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