APA (7th ed.) Citation

Mashoshin, O. F., Huseynov, H., & Zasukhin, A. S. (2024). Methodology for diagnosing the technical condition of aviation gas turbine engines using recurrent neural networks (RNN) and long short-term memory networks (LSTM). Moscow State Technical University of Civil Aviation.

Chicago Style (17th ed.) Citation

Mashoshin, O. F., H. Huseynov, and A. S. Zasukhin. Methodology for Diagnosing the Technical Condition of Aviation Gas Turbine Engines Using Recurrent Neural Networks (RNN) and Long Short-term Memory Networks (LSTM). Moscow State Technical University of Civil Aviation, 2024.

MLA (9th ed.) Citation

Mashoshin, O. F., et al. Methodology for Diagnosing the Technical Condition of Aviation Gas Turbine Engines Using Recurrent Neural Networks (RNN) and Long Short-term Memory Networks (LSTM). Moscow State Technical University of Civil Aviation, 2024.