5 citations · 6 across the 4 of their papers we have counts for
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cs.LG2026
Anomaly Detection for Electro-Hydrostatic Actuators using LSTM Autoencoder
Nehal Afifi, Abdelmonem Elhendawi, Felix Leitenberger +2
Electro-Hydrostatic Actuators (EHAs) are widely used in aerospace and industrial systems, where timely detection of sensor anomalies is essential to ensure safe and reliable operat…
cs.LG2024★ 5 cited
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction
Ines Boujnah, Nehal Afifi, Andreas Wettstein +1
Bolted joints are critical in engineering for maintaining structural integrity and reliability. Accurate prediction of parameters influencing their function and behavior is essenti…