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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Understanding New Foods: Water Quality,of efficacy. However, as attributed from the literature, they have the challenge of having insufficient model variance and restricted generalization capabilities. The goal of this study is to improve the accuracy of forest image classification through the development of a hybrid model that incorpora

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Longitudinal Analysis of the Topology of Criminal Networks Using a Simple Cost-Benefit Agent-Based Metworks were modelled. A comparison of the evolution between the different networks was carried out, including a topological analysis (secrecy, flow of information and size of largest component). This paper demonstrates that the underlying structure of the network does make a difference in its devel

Entirety

Manifold Analysis for High-Dimensional Socio-Environmental Surveysn 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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Toxicity in Evolving Twitter Topicsicity 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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Platelet

OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehiclesroves 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

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Detection of Objects Dangerous for the Operation of Mining Machinesntained a boulder missed by a detector due to misleading environmental conditions such as shadows or sand. The method was tested on recordings from an opencast mine in Poland. The proposed method can help prevent the failure of expensive equipment.

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A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experienceacy by introducing a novel hybrid approach that combines the Depth Active Appearance Model (DAAM) and Deep Convolutional Neural Networks (DCNNs). The proposed DAAM and DCNNs model can be used to assist one in identifying emotions and classify learner involvement and interest in the topic which are p