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Akademický článek

Cognitive Complexity and Graph Convolutional Approach Over Control Flow Graph for Software Defect Prediction

Autor: Mansi Gupta, Kumar Rajnish, Vandana Bhattacharjee

Publikováno v: IEEE Access, Vol 10, Pp 108870-108894 (2022)

The software engineering community is working to develop reliable metrics to improve software quality. It is estimated that understanding the source code accounts for 60% of the software maintenance effort. Cognitive informatics is important in quant

Externí odkaz: https://doaj.org/article/75b0cc8149974c748e6b351f13ef4ca6

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Akademický článek

Sparse Matrix Based Low-Complexity, Recursive, and Radix-2 Algorithms for Discrete Sine Transforms

Autor: Sirani M. Perera, Levi E. Lingsch

Publikováno v: IEEE Access, Vol 9, Pp 141181-141198 (2021)

This paper presents factorizations of each discrete sine transform (DST) matrix of types I, II, III, and IV into a product of sparse, diagonal, bidiagonal, and scaled orthogonal matrices. Based on the proposed matrix factorization formulas, reduced m

Externí odkaz: https://doaj.org/article/3d02684081294457981606bf5ea2428f

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Akademický článek

Ant–Based Clustering for Flow Graph Mining

Autor: Lewicki Arkadiusz, Pancerz Krzysztof

Publikováno v: International Journal of Applied Mathematics and Computer Science, Vol 30, Iss 3, Pp 561-572 (2020)

The paper is devoted to the problem of mining graph data. The goal of this process is to discover possibly certain sequences appearing in data. Both rough set flow graphs and fuzzy flow graphs are used to represent sequences of items originally arran

Externí odkaz: https://doaj.org/article/2c20bc9e5cd84de695d2f3ab8e27717f

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