Titlebook: Computational Science – ICCS 2023; 23rd International C Jiří Mikyška,Clélia de Mulatier,Peter M.A. Sloot Conference proceedings 2023 The Ed

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Classification Performance of Extreme Learning Machine Radial Basis Function with K-means, K-medoidsiterative procedure upon maximizing an accuracy or minimizing Mean Square Error and computation time. The different distance metrics for k-means and k-medoids, and mean shift with Gaussian or flat kernel function are also compared. The results obtained with Softplus and linear activation function (a

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Radius Estimation in Angiograms Using Multiscale Vesselness Functionods. The quantitative comparison involved artificially generated images of tubes with known geometries, while the qualitative assessment involved analyzing a real magnetic resonance angiogram. The results obtained demonstrate the high accuracy and usefulness of the proposed method. The presented alg

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EIB Group Climate Bank Roadmap 2021–2025n a linear subspace. Recent advances in manifold learning techniques have demonstrated better detection of different behavioural regimes from surveys. This paper uses Bangladesh Climate Change Adaptation Survey data to compare three non-linear manifold techniques: Fisher Information Non-Parametric E

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EIB Group Climate Bank Roadmap 2021–2025icity dynamics in topic evolution, comparing the Topic Transition Types in terms of their toxicity. Our results reveal a positive correlation between the popularity of a topic and its toxicity, with no statistically significant difference in the presence of inflammatory speech among the different tr

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Filipe de Vasconcelos Fernandesroves the stability of the network. Additionally, we study 1) the trade-off between the average distance a driver needs to travel to their nearest charging station versus the number of stations to build, and 2) the impact on the grid under various adoption rates. These studies provide further insigh