Titlebook: Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions; Enrique Herrera-Viedma,Zita Vale,Rober

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Multithreaded Application Modelrized by taking time as one of the variables and dividing operations and resources into two separate entities. Based on the created model, the claim regarding the race condition was presented, and a proof confirming this claim was made.

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Modeling the Spread of Malware on Complex Networksicient algorithms and methodologies to detect this type of malware; unfortunately models to simulate its behavior are not well studied. The main goal of this work is to introduce a new individual-based model to simulate zero-day malware propagation. It is a compartmental model where susceptible, inf

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Proposed Models for Advanced Persistent Threat Detection: A Reviewive data or critical infrastructures. Recently, the analysis of these threats has caught the attention of the scientific community. Researchers have studied the behaviour of this threat to create models and tools that allow early detection of these attacks. The use of Artificial Intelligence can hel

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Brian Morris,Klaus Boehm,Maurice Gellerf the forecasting models is assessed, and results show that the Adaboost model is superior to the other considered models for the one-hour ahead forecasts. The results of this study compared to previous works indicates that ensemble learning methods are a viable choice for short-term load forecast.

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