Linear companding transform for the reduction of peak-to-average power ratio of OFDM signals SA Aburakhia, EF Badran, DAE Mohamed
IEEE Transactions on Broadcasting 55 (1), 155-160, 2009
181 2009 Distance-Based Anomaly Detection for Industrial Surfaces UsingTriplet Networks T Tayeh, S Aburakhia, R Myers, A Shami
The 11th Annual IEEE Information Technology, Electronics and Mobile …, 2020
32 2020 An attention-based ConvLSTM autoencoder with dynamic thresholding for unsupervised anomaly detection in multivariate time series T Tayeh, S Aburakhia, R Myers, A Shami
Machine Learning and Knowledge Extraction 4 (2), 350-370, 2022
31 2022 A Transfer Learning Framework for Anomaly Detection Using Model of Normality S Aburakhia, T Tayeh, R Myers, A Shami
The 11th Annual IEEE Information Technology, Electronics and Mobile …, 2020
21 2020 A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay S Aburakhia, R Myers, A Shami
IEEE Transactions on Instrumentation and Measurement, 2022
19 2022 Distribution of the PAPR for real-valued OFDM signals SA Aburakhia, EF Badran, DA Mohamed
signal 2, 2, 2009
19 2009 Distance-based anomaly detection for industrial surfaces using triplet networks. In 2020 11th IEEE annual information technology, electronics and mobile communication … T Tayeh, S Aburakhia, R Myers, A Shami
IEEE, 2020
6 2020 Similarity-Based Predictive Maintenance Framework for Rotating Machinery S Aburakhia, T Tayeh, R Myers, A Shami
2022 5th International Conference on Communications, Signal Processing, and …, 2022
4 2022 A comparison between signal clipping and -law companding schemes for the reduction of peak-to-average power ratio of OFDM signals SA Aburakhia, EF Badran, DAE Mohamed
Proc. 1st Int. Conf. on Digital Commun. & Computer Applications DCCA2007 …, 2007
4 2007 On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach S Aburakhia, A Shami, GK Karagiannidis
arXiv preprint arXiv:2403.17181, 2024
1 2024 On the Peak-to-Average Power Ratio of Vibration Signals: Analysis and Signal Companding for an Efficient Remote Vibration-Based Condition Monitoring S Aburakhia, A Shami
arXiv preprint arXiv:2310.01718, 2023
1 2023 SB-PdM: A tool for predictive maintenance of rolling bearings based on limited labeled data S Aburakhia, A Shami
Software Impacts 16, 100503, 2023
1 2023