1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers +1
As a substantial amount of multivariate time series data is being produced by the complex systems in Smart Manufacturing, improved anomaly detection frameworks are needed to reduce…
cs.RO2021★ 1 cited
Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
Tareq Tayeh, Abdallah Shami
As systems in smart manufacturing become increasingly complex, producing an abundance of data, the potential for production failures becomes increasingly more likely. There arises…
cs.CV2020★ 1 cited
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers +1
Surface anomaly detection plays an important quality control role in many manufacturing industries to reduce scrap production. Machine-based visual inspections have been utilized i…