@inproceedings{fc37e81320ed467a87717380e3d7e158,
title = "MinerFinder: a GAE-LSTM method for predicting location of miners in underground mines",
keywords = "LSTM, graph autoencoder, location prediction, underground mine",
author = "Abhay Goyal and Sanjay Madria and Samuel Frimpong",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022 ; Conference date: 01-11-2022 Through 04-11-2022",
year = "2022",
month = nov,
day = "1",
doi = "10.1145/3557915.3561024",
language = "English",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
publisher = "Association for Computing Machinery",
editor = "Matthias Renz and Mohamed Sarwat and Nascimento, \{Mario A.\} and Shashi Shekhar and Xing Xie",
booktitle = "30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022",
}