@conference {8784003,
	title = {On the Use of LSTM Networks for Predictive Maintenance in Smart Industries},
	booktitle = {2019 IEEE International Conference on Smart Computing (SMARTCOMP)},
	year = {2019},
	month = {June},
	pages = {241-248},
	keywords = {Deep Learning, Engines, History, Industry 4.0, Keras, learning (artificial intelligence), Logic gates, LSTM networks hyperparameters, Machine learning, machine learning approach, machine learning techniques, maintenance engineering, maintenance scheduling, predictive maintenance, production engineering computing, recurrent neural nets, remaining life assessment, remaining useful life, RUL, Sensor systems, smart industries, Smart Industry, TensorFlow},
	issn = {null},
	doi = {10.1109/SMARTCOMP.2019.00059},
	author = {D. Bruneo and F. De Vita}
}
