Titlebook: Artificial Intelligence Applications and Innovations; 16th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis Conference pr

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Science of Data: A New Ladder for Causation,s more difficult to troubleshoot the systems. Vendors are spending a lot of time and effort on early anomaly detection in their development cycle and majority of the time is spent on manually analyzing system logs. While main research in anomaly detection uses performance metrics, anomaly detection

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Geetanjali Bihani,Julia Taylor RayzECG). However, these signals are problematic in situations e.g., in dynamic moving environments where the user cannot relax with all the sensors attached to the body and it provides significant noises in the signals. This paper presents a case study using a contact-free approach for CL classificatio

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Cybersecurity Landscape for Computer Systemsh Smart City projects, particularly focusing on traffic prediction. A systematic literature review identifies the main topics and methods used, emphasizing on various Smart Cities components, such as data harvesting and data mining. It addresses the research question whether we can forecast traffic

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