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    Deep Learning and Internet of Things (IoT) Based Monitoring System for Miners
    (PLEIADES PUBLISHING INC, PLEIADES HOUSE, 7 W 54 ST, NEW YORK, NY 10019, UNITED STATES, 2022) Saray Çetinkaya, Tuğba; Senan, Sibel; Orman, Zeynep
    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.