Preprint on Process Forces Prediction of Gripped Objects Using DL
Stefanie’s work on developing a DL regression model to construct a continuous stability metric to predict the maximum process forces on gripped objects using...
Stefanie’s work on developing a DL regression model to construct a continuous stability metric to predict the maximum process forces on gripped objects using...
Mark Ng is part of the Programme Committee for the 35th Irish Signals and Systems Conference (ISSC 2024).
The team celebrate today with Niamh passing her PhD viva, with her thesis subject to just minor amendments!
Mark Ng is the Workshop Chair for the 2024 IEEE Conference on Control Technology and Applications, now in its 8th year.
Mark Ng is leading an exciting Knowledge Transfer Program (KTP) project with Elite Electronic Systems as the industrial partner. The KTP will focus on tackli...
Our paper on “Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review” is...
Mark Ng is the Technical Program Chair for the 2023 IEEE Signal Processing in Medicine and Biology Symposium, now in its 14th year.
Stefanie’s work on developing a Digital Twin to generate data for grip stability prediction is now out as a preprint on arXiv.
Our paper on “Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification” has been accepted for presenta...
Our paper on “A novel patches-selection method for the classification of point-of-care biosensing lateral flow assays with cardiac biomarkers” is now publish...