Deep Learning and Internet of Things (IoT) Based Monitoring System for Miners
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
PLEIADES PUBLISHING INC, PLEIADES HOUSE, 7 W 54 ST, NEW YORK, NY 10019, UNITED STATES
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 United States
Attribution-NonCommercial-NoDerivs 3.0 United States
Özet
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.
Açıklama
Anahtar Kelimeler
Internet of Things (IoT), miner monitoring, artificial neural networks, deep learning, LSTM model
Kaynak
Journal of Mining Science
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
58
Sayı
2
