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Titlebook: New Perspectives in Software Engineering; Jezreel Mejía,Mirna Mu?oz,Himer Avila-George Book 2024 The Editor(s) (if applicable) and The Aut

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發(fā)表于 2025-3-23 10:54:48 | 只看該作者
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發(fā)表于 2025-3-23 21:51:27 | 只看該作者
Towards a User Network Profiling for Internal Security Top-k Rankings Similarity Measures Using K-mtored for 30?min each using a proxy, demonstrating that the support vector classifier algorithm achieved 100% accuracy in this dataset. Once this information is obtained, the k-means algorithm is used to group users together and identify outliers exceed the upper limit of the k range.
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發(fā)表于 2025-3-23 23:44:33 | 只看該作者
1860-949X wledge Management, Software Systems, Applications, and Tools.The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improv
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發(fā)表于 2025-3-24 13:34:19 | 只看該作者
Jezreel Mejía,Victor Terrón-Macias,Mirna Mu?oz,Miguel Terrón Hernándezoarse-grained distribution with respect to a K partition obtained from p. ≡ U.p is a Boltzmann-type H function for K flows. This is not in contradiction with the time-reversal (velocity-inversion) symmetry of dynamical evolution as the suitably constructed projection operator or the Λ transformation
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發(fā)表于 2025-3-24 20:32:04 | 只看該作者
Luz Marcela Restrepo-Tamayo,Gloria Piedad Gasca-Hurtadooarse-grained distribution with respect to a K partition obtained from p. ≡ U.p is a Boltzmann-type H function for K flows. This is not in contradiction with the time-reversal (velocity-inversion) symmetry of dynamical evolution as the suitably constructed projection operator or the Λ transformation
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發(fā)表于 2025-3-25 00:05:00 | 只看該作者
Victor Terrón-Macias,Jezreel Mejía,Yadira Qui?onezaviour of the system may be thought to be governed by a few modes only which evolve on long time scales and for these modes detailed balance may be recovered [4]. Great progress has been made these last years in this domain, namely by the use of renormalization group theories to justify scaling prop
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