6
[7] Hansen, R., &Ingason, H. (2013), “Heat release
rate measurements of burning mining vehicles in an
underground mine,” Fire Safety Journal, 61, 12–25.
doi.org/10.1016/j.firesaf.2013.08.009.
[8] MathWorks. (2023), “Signal processing for machine
learning and deep learning,” Retrieved September
10, 2023, from www.mathworks.com/videos/signal-
processing-for-machine-learning-and-deep-learn-
ing-1530290883080.html.
[9] Faggella, D. (2023), “What is machine learning?,”
Retrieved September 10, 2023, from emerj.com/
ai-glossary-terms/what-is-machine-learning/.
[10] Stewart, P. (2016), “Machine learning enters
mines. Mining Magazine,” www.mining-
magazine.com/innovation/opinion/1263928/
machine-learning-enters-mines.
[11] Hanson D.R., Lawson H.E. (2023), “Using Machine
Learning to Evaluate Coal Geochemical Data with
Respect to Dynamic Failures,” Minerals, 13(6):808.
doi.org/10.3390/min13060808.
[12] Bahrami, D., Yuan, L., Zhou, L., &Rowland, J. H.
(2019), “New mine fire location model utilizing real-
time gas monitoring data,” Proceedings of 17th North
American Mine Ventilation Symposium, Montreal,
QC.
[13] Yuan, L., Thomas, R., &Zhou, L. (2017),
“Characterization of a mine fire using atmospheric
monitoring system sensor data,” Mining Engineering
69(6), 57–62. doi.org/10.19150/me.7567.
[14] Zhou, L., Yuan, L., Bahrami, D., Thomas, R.A.,
Cole, G., &Rowland, J. (2019), “Study on inte-
gration of real-time atmospheric monitoring system
monitoring data and MFIRE simulation,” Proceedings
of 17th North American Mine Ventilation Symposium,
Montreal, QC.
[15] Xue, Y., Bahrami, D., Zhou, L. (2023), “Identifying
the location and size of an underground mine fire
with simulated ventilation data and random forest
model,” Mining, Metallurgy &Exploration, 40(6),
1399-1407.
[16] Hansen, R., Ingason, H. (2011), “An engineering
tool to calculate heat release rates of multiple objects
in underground structures,” Fire Safety Journal, 46,
194-203.
[17] Hansen, R. (2015), “Analysis of methodologies for
calculating the heat release rates of mining vehicle
fires in underground mines,” Fire Safety Journal, 71,
194-216.
[18] Ventsim (2023), “Ventsim ™ DESIGN -User Manual
Version 5.4,” Available from: ventsim.com/files/
VentsimManual.pdf.
[7] Hansen, R., &Ingason, H. (2013), “Heat release
rate measurements of burning mining vehicles in an
underground mine,” Fire Safety Journal, 61, 12–25.
doi.org/10.1016/j.firesaf.2013.08.009.
[8] MathWorks. (2023), “Signal processing for machine
learning and deep learning,” Retrieved September
10, 2023, from www.mathworks.com/videos/signal-
processing-for-machine-learning-and-deep-learn-
ing-1530290883080.html.
[9] Faggella, D. (2023), “What is machine learning?,”
Retrieved September 10, 2023, from emerj.com/
ai-glossary-terms/what-is-machine-learning/.
[10] Stewart, P. (2016), “Machine learning enters
mines. Mining Magazine,” www.mining-
magazine.com/innovation/opinion/1263928/
machine-learning-enters-mines.
[11] Hanson D.R., Lawson H.E. (2023), “Using Machine
Learning to Evaluate Coal Geochemical Data with
Respect to Dynamic Failures,” Minerals, 13(6):808.
doi.org/10.3390/min13060808.
[12] Bahrami, D., Yuan, L., Zhou, L., &Rowland, J. H.
(2019), “New mine fire location model utilizing real-
time gas monitoring data,” Proceedings of 17th North
American Mine Ventilation Symposium, Montreal,
QC.
[13] Yuan, L., Thomas, R., &Zhou, L. (2017),
“Characterization of a mine fire using atmospheric
monitoring system sensor data,” Mining Engineering
69(6), 57–62. doi.org/10.19150/me.7567.
[14] Zhou, L., Yuan, L., Bahrami, D., Thomas, R.A.,
Cole, G., &Rowland, J. (2019), “Study on inte-
gration of real-time atmospheric monitoring system
monitoring data and MFIRE simulation,” Proceedings
of 17th North American Mine Ventilation Symposium,
Montreal, QC.
[15] Xue, Y., Bahrami, D., Zhou, L. (2023), “Identifying
the location and size of an underground mine fire
with simulated ventilation data and random forest
model,” Mining, Metallurgy &Exploration, 40(6),
1399-1407.
[16] Hansen, R., Ingason, H. (2011), “An engineering
tool to calculate heat release rates of multiple objects
in underground structures,” Fire Safety Journal, 46,
194-203.
[17] Hansen, R. (2015), “Analysis of methodologies for
calculating the heat release rates of mining vehicle
fires in underground mines,” Fire Safety Journal, 71,
194-216.
[18] Ventsim (2023), “Ventsim ™ DESIGN -User Manual
Version 5.4,” Available from: ventsim.com/files/
VentsimManual.pdf.