| Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks T Tayeh, S Aburakhia, R Myers, A Shami 2020 11th IEEE Annual 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 | 30 | 2022 |
| A Transfer Learning Framework for Anomaly Detection Using Model of Normality S Aburakhia, T Tayeh, R Myers, A Shami 2020 11th IEEE Annual Information Technology, Electronics and Mobile …, 2020 | 21 | 2020 |
| A Virtual-Reality Training Simulator for Cochlear Implant Surgery B Jones, SA Rohani, N Ong, T Tayeh, A Chalabi, SK Agrawal, HM Ladak Simulation & Gaming 50 (2), 243-258, 2019 | 9 | 2019 |
| 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 |
| Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review T Tayeh, A Shami arXiv preprint arXiv:2107.05053, 2021 | | 2021 |
| An Anomaly Detection System for Smart Manufacturing Using Deep Learning T Tayeh Western University, 2021 | | 2021 |
Sulaiman A. AburakhiaPhD Candidate, ECE Dept., Western UniversityVerified email at uwo.ca
