Titlebook: Intelligent Distributed Computing XV; Lars Braubach,Kai Jander,Costin Bădică Conference proceedings 2023 The Editor(s) (if applicable) and

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Using Artificial Neural Networks to Model Initial Recruitment of Mediterranean Pine Forestsropose to apply such a tool for modeling forest regeneration, a possibility not yet investigated in the literature. In order to evaluate the capability of NNs to simulate initial recruitment of pine species in Mediterranean forests, a feed-forward multi-layer neural network has been applied to seed

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Applying Machine Learning Methods to Detect Abnormal User Behavior in a University Data Centerection attacks and user attempts to violate access control rules. One of the most effective approaches to detect abnormal user behavior in data centers is the use of machine learning methods. The paper explores the possibilities of using various machine learning models (classifiers) to detect such a

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Real-Time Traffic Prediction Using Distributed Deep Learning Based Multivariate Time-Series Modelsfic jams and helps intelligent transportation system (ITS). However, this problem is also a difficult challenge to solve because of complicated and dynamic spatio-temporal dependencies between different regions in the road network. In this study, we contribute the following suggestions: First, a mul