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Titlebook: Computational Science and Its Applications – ICCSA 2021; 21st International C Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T Conference

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Predicting Physiological Variables of Players that Make a Winning Football Team: A Machine Learning ning sessions, and most importantly, the football games and their outcomes. With the purpose of identify the physiological variables of the players that most contribute to winning a football match, a study based on machine learning algorithms was conducted on a dataset of the players GPS positions d
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A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis malware is able to encrypt the files located in the infected machine and block the access to them. The attackers will restore the machine and files only after the payment of a certain amount of money, usually given in bitcoins. In this paper we discuss an hybrid framework, combining static and dyna
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Web Document Categorization Using Knowledge Graph and Semantic Textual Topic Detectionis large amount of information needs more efficient and effective methods and techniques for analyzing data and generate information. Specific application as information retrieval systems have more and more high performances in the document seeking process, but often they lack of semantic understand
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Understanding Drug Abuse Social Network Using Weighted Graph Neural Networks Explainerta consisting of nodes and edges. To classify the class of nodes in graph, GNNs is a state-of-the-art model in this domain. For example, anti-drug police rely on social data to identify hidden drug abusers. However, in the deployment of GNNs, it still require interpretability techniques to support.
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Experiments for Linking the Complexity of the Business UML Class Diagram to the Quality of the Assocnstitute a key artifact at that stage. Among existing models for iterative and incremental development of software systems, Model Driven Architecture (MDA) has reached a leadership position. MDA enables model-driven software development which treats models as primary development artifacts. The prese
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StoryTracker: A Semantic-Oriented Tool for Automatic Tracking Events by Web Documents magazines have been built rich collections of data that can be used by lots of professionals such as economists, historians, and political scientists. However, exploring these logs with traditional search engines has become impractical for more demanding users. In this paper, we propose ., a tempor
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