20.500.12556/DKUM-91694 Predicting the probability of cargo theft for individual cases in railway transport In the heavy industry, the value of cargo transported by rail is very high. Due to high value, poor security and volume of rail transport, the theft cases are often. The main problem of securing rail transport is predicting the location of a high probability of risk. Because of this,the aim of the presented research was to predict the highest probability of rail cargo theft for areas. It is important to prevent theft cases by better securing the railway lines. To solve that problem the authors' model was developed. The model uses information about past transport cases for the learning process of Artificial Neural Networks (ANN) and Machine Learning (ML).The ANN predicted the probability for 94.7% of the cases of theft and the Machine Learning identified 100% of the cases. This method can be used to develop a support system for securing the rail infrastructure. rail transport security supply chain disruption drones security support systems cargo theft predicting logistics artificial neural network drone monitoring machine learning železniški promet varnost oskrbovalne verige droni podporni sistemi varnostni sistemi kraja tovora predvidevanje logistika umetna nevronska mreža strojno učenje true false true Strojarski fakultet, Elektrotehnički fakultet, Građevinski fakultet Angleški jezik Slovenski jezik Znanstveno delo 2025-01-28 13:54:58 2025-01-28 14:08:48 2025-01-29 03:12:04 0000-00-00 00:00:00 2020 0 0 Str. 773-780 št. 3 Letn. 27 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2020-06-14 656.2 25129987 10.17559/TV-20190320194915 1848-6339 Lorenc-2020-Predicting_the_Probability_of_Carg.pdf Lorenc-2020-Predicting_the_Probability_of_Carg.pdf 1 2A706C42C65010E417D1F97469B9D995 a1b7b8727657f1abcaaf00568d2834e0954e11202e23590200b6c8e02e824e62 d1f7168f-dd78-11ef-9187-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188223 https://doi.org/10.17559/TV-20190320194915 1 15c289b3-dd77-11ef-9187-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188219 Fakulteta za logistiko 0 0 0