打算
发表于 2025-3-30 11:03:35
Computing the Kirchhoff Index of Some xyz-Transformations of Regular Molecular Graphspes of . – transformations, namely, the subdivision graph and the total graph, of regular graphs. In this paper, we compute the Kirchhoff index of some other . – transformations of regular (molecular) graphs, with explicit formulae for the Kirchhoff index of these transformation graphs being given in terms of parameters of the original graph.
控制
发表于 2025-3-30 14:04:23
Conference proceedings 2014 learning; social and natural computing; neural networks; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; knowledge discovery and data mining; signal processing; pattern recognition; biometric system and security for intelligent computing.
prosperity
发表于 2025-3-30 20:28:46
GA-EAM Based Hybrid Algorithmcompared with some state-of-the-art algorithms like Particle Swarm Optimization-Time Variant Acceleration Coefficient (PSO-TVAC), Self-Adaptive Differential Evolution (SADE) and EAM on six benchmark functions with experimental results. It is found that the proposed hybrid algorithm gives better results than the existing algorithms.
Nefarious
发表于 2025-3-30 23:44:25
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excursion
发表于 2025-3-31 03:34:09
Cost-Sensitive Bayesian Network Classifiers and Their Applications in Rock Burst Predictions, and the resulted algorithms are called cost-sensitive Bayesian Network classifiers. The experimental results on 36 UCI datasets validate their effectiveness in terms of the total misclassification costs. Finally, we apply the cost-sensitive Bayesian Network classifiers to some real-world rock burst prediction examples and achieve good results.
Crepitus
发表于 2025-3-31 06:51:25
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Subjugate
发表于 2025-3-31 12:48:51
Quantifying the Evolutions of Social Interactions the power law distribution, and the users’ interactions have locality property. Furthermore, the results demonstrate that the evolutions of social interactions are useful for tracking the trends of topics.
Insensate
发表于 2025-3-31 17:06:50
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有机体
发表于 2025-3-31 20:09:07
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chemical-peel
发表于 2025-3-31 23:49:17
Nonparametric Discriminant Multi-manifold Learningce data validate that NDML is of better performance than some other dimensionality reduction methods, such as Unsupervised Discriminant Projection (UDP), Constrained Maximum Variance Mapping (CMVM) and Linear Discriminant Analysis (LDA).