Saray Çetinkaya, TuğbaSenan, SibelOrman, Zeynep2023-10-182023-10-1820221062-73911573-8736https://hdl.handle.net/11363/5946https://doi.org/In this study, a miner monitoring system is designed using the Deep Learning (DL) approach and the IoT technology together. It is aimed to determine the area where the miners are located while a possible accident occurs by the proposed system. Experiments were carried out to analyze the effectiveness of the proposed system and the performance evaluations were made. The best result was obtained with an accuracy rate of 97.14%. This rate indicates that the designed miner monitoring system can be used effectively in practice.eninfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 United StatesInternet of Things (IoT)miner monitoringartificial neural networksdeep learningLSTM modelArticle58232533710.1134/S10627391220201562-s2.0-85139257836Q3WOS:000863623200015Q4