Titlebook: Computational Science – ICCS 2024; 24th International C Leonardo Franco,Clélia de Mulatier,Peter M. A. Slo Conference proceedings 2024 The

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A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAMficial intelligen (AI) stand as the mainstream, yet they grapple with the challenges of interpretability and high computational costs. Conversely, rule-based approaches offer ease of comprehension and lower computational overhead, but their development demands extensive expertise. This paper propose

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BotRGA: Neighborhood-Aware Twitter Bot Detection with Relational Graph Aggregationation and protect the authenticity of online resources. Existing graph-based social bot detection approaches primarily rely on the topological structure of the Twittersphere but often overlook the diverse influence dynamics across different relationships. Moreover, these methods typically aggregate

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Lignans

Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Datae necessity for robust anomaly detection mechanisms. This paper presents a comprehensive approach to detecting anomalies based on AGV telemetry data, leveraging the potential of machine learning (ML) algorithms to analyze complex data streams and time series signals. By focusing on the unique challe

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Automated Prediction of Air Pollution Conditions in Environment Monitoring Systems such as air temperature, atmospheric pressure, and relative humidity are also considered. Moreover, a large part of the discussion in this paper can be extended and applied to a variety of other quantities which are stored and expressed as data series. The goal is to evaluate different time series

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Mark Adler,Pierre van Moerbeke,Pol Vanhaeckeni element, we show that they are inf-sup stable. Unexpectedly, they yield wrong convergent finite element solutions for the singular velocity solution. On the contrary, the Taylor-Hood element, which is still inf-sup stable, gives correct convergence. However, how to analyze the convergence becomes

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On the Gln of a semi-local ring,adients in their solutions. As a consequence, developing an efficient computational solver to capture these flow features requires the adjustment of the local scale difference between convection and diffusion terms in the governing equations. In this study, we propose a monotonicity preserving backw