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2020 – today
- 2024
[j6]Joel Fuller
, Tim Leo Atherton Doyle, Eoin William Doyle, John Bradley Arnold, Jonathan David Buckley, Jodie A. Wills, Dominic Thewlis, Clint R. Bellenger:
The Cumulative Impacts of Fatigue during Overload Training Can Be Tracked Using Field-Based Monitoring of Running Stride Interval Correlations. Sensors 24(17): 5538 (2024)- 2023
- [j5]Khosro Fallahnezhad, Dermot O'Rourke, Jasvir S. Bahl, Dominic Thewlis, Mark Taylor:
The role of muscle forces and gait cycle discretization when assessing acetabular cup primary stability: A finite element study. Comput. Methods Programs Biomed. 230: 107351 (2023) - [j4]Kayne A. Duncanson, Simon Thwaites, David Booth, Gary Hanly, William S. P. Robertson, Ehsan Abbasnejad, Dominic Thewlis:
Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data. Sensors 23(7): 3392 (2023) - 2022
- [j3]Kieran J. Bennett, Claudio Pizzolato, Saulo Martelli, Jasvir S. Bahl, Arjun Sivakumar, Gerald J. Atkins, Lucian Bogdan Solomon, Dominic Thewlis:
EMG-Informed Neuromusculoskeletal Models Accurately Predict Knee Loading Measured Using Instrumented Implants. IEEE Trans. Biomed. Eng. 69(7): 2268-2275 (2022)
2010 – 2019
- 2019
- [j2]Jordan Yeomans, Simon Thwaites, William S. P. Robertson, David Booth, Brian Wai-Him Ng, Dominic Thewlis:
Simulating Time-Series Data for Improved Deep Neural Network Performance. IEEE Access 7: 131248-131255 (2019) - 2016
- [j1]Kalana Ishara Withanage, Ivan Lee, Russell S. A. Brinkworth, Shylie Mackintosh, Dominic Thewlis:
Fall Recovery Subactivity Recognition With RGB-D Cameras. IEEE Trans. Ind. Informatics 12(6): 2312-2320 (2016)
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