Improved LSTM-Based Time-Series Anomaly Detection in Rail Transit Operation Environments

Anomaly Detection of the Brake Operating Unit on Metro Vehicles Using a One-Class LSTM Autoencoder

(2021) Jaeyong Kang et al.   Applied Sciences-Basel

Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

(2020) Mohamed Abdel-Nasser et al.   IEEE Transactions on Industrial Informatics

Magnetic Anomaly Target Recognition Based on SVD and SVMs

(2019) J. Zheng et al.   IEEE TRANSACTIONS ON MAGNETICS

Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning

(2018) Gaoqiang Kang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Unsupervised real-time anomaly detection for streaming data

(2017) Subutai Ahmad et al.   NEUROCOMPUTING

Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges

(2017)   IEEE Access