de Pater, I., & Mitici, M. (2023). Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder. Engineering applications of artificial intelligence, 117, 105582. https://doi.org/10.1016/j.engappai.2022.105582
Citácia podle Chicago (17th ed.)de Pater, Ingeborg, a Mihaela Mitici. "Developing Health Indicators and RUL Prognostics for Systems with Few Failure Instances and Varying Operating Conditions Using a LSTM Autoencoder." Engineering Applications of Artificial Intelligence 117 (2023): 105582. https://doi.org/10.1016/j.engappai.2022.105582.
Citácia podľa MLA (8th ed.)de Pater, Ingeborg, a Mihaela Mitici. "Developing Health Indicators and RUL Prognostics for Systems with Few Failure Instances and Varying Operating Conditions Using a LSTM Autoencoder." Engineering Applications of Artificial Intelligence, vol. 117, 2023, p. 105582, https://doi.org/10.1016/j.engappai.2022.105582.