Linear Companding Transform for the Reduction of Peak-to-Average Power Ratio of OFDM Signals. - Sulaiman A. Aburakhia; Ehab Farouk Badran; Darwish A. E. Mohamed (IEEE Trans. Broadcast., 2009)

Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks. - Tareq Tayeh; Sulaiman A. Aburakhia; Ryan Myers; Abdallah Shami (CoRR, 2020)

A Transfer Learning Framework for Anomaly Detection Using Model of Normality. - Sulaiman A. Aburakhia; Tareq Tayeh; Ryan Myers; Abdallah Shami (CoRR, 2020)

Similarity-Based Predictive Maintenance Framework for Rotating Machinery. - Sulaiman A. Aburakhia; Tareq Tayeh; Ryan Myers; Abdallah Shami (ICCSPA, 2022)

An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series. - Tareq Tayeh; Sulaiman A. Aburakhia; Ryan Myers; Abdallah Shami (Mach. Learn. Knowl. Extr., 2022)

A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay. - Sulaiman A. Aburakhia; Ryan Myers; Abdallah Shami (IEEE Trans. Instrum. Meas., 2022)

SB-PdM: A tool for predictive maintenance of rolling bearings based on limited labeled data. - Sulaiman A. Aburakhia; Abdallah Shami (Softw. Impacts, 2023)

On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach. - Sulaiman A. Aburakhia; Abdallah Shami; George K. Karagiannidis (CoRR, 2024)

Joint Instantaneous Amplitude-Frequency Analysis of Vibration Signals for Vibration-Based Condition Monitoring of Rolling Bearings. - Sulaiman A. Aburakhia; Ismail Hamieh; Abdallah Shami (CoRR, 2024)