Predicting performance in an introductory programming course by logging and analyzing student programming behavior C Watson, FWB Li, JL Godwin 2013 IEEE 13th international conference on advanced learning technologies …, 2013 | 217 | 2013 |
No tests required: comparing traditional and dynamic predictors of programming success C Watson, FWB Li, JL Godwin Proceedings of the 45th ACM technical symposium on Computer science …, 2014 | 188 | 2014 |
Bluefix: Using crowd-sourced feedback to support programming students in error diagnosis and repair C Watson, FWB Li, JL Godwin Advances in Web-Based Learning-ICWL 2012: 11th International Conference …, 2012 | 89 | 2012 |
Classification and detection of wind turbine pitch faults through SCADA data analysis JL Godwin, P Matthews IJPHM Special Issue on Wind Turbine PHM 4, 90, 2013 | 86 | 2013 |
Prognosis of wind turbine gearbox failures by utilising robust multivariate statistical techniques JL Godwin, P Matthews 2013 IEEE conference on Prognostics and Health Management (PHM), 1-8, 2013 | 22 | 2013 |
Classification and detection of electrical control system faults through SCADA data analysis JL Godwin, PC Matthews, C Watson Chemical engineering transactions. 1, 2013 | 18 | 2013 |
Hardware-accelerated SAR simulation with NVIDIA-RTX technology AR Willis, MS Hossain, J Godwin Algorithms for Synthetic Aperture Radar Imagery XXVII 11393, 108-124, 2020 | 11 | 2020 |
Statistical analysis of SAR signature domains J Godwin, M Moore, D Waagen, D Hulsey, R Conner Algorithms for Synthetic Aperture Radar Imagery XXVII 11393, 125-138, 2020 | 6 | 2020 |
Maplets: An efficient approach for cooperative SLAM map building under communication and computation constraints K Brink, R Sherrill, J Godwin, J Zhang, A Willis 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 367-374, 2020 | 5 | 2020 |
Exploiting robust multivariate statistics and data driven techniques for prognosis and health management J GODWIN Durham University, 2015 | 4 | 2015 |
Robust multivariate statistical ensembles for bearing fault detection and identification JL Godwin, P Matthews, C Watson 2014 International Conference on Prognostics and Health Management, 1-11, 2014 | 4 | 2014 |
Rapid labelling of SCADA data to extract transparent rules using RIPPER JL Godwin, P Matthews 2014 Reliability and Maintainability Symposium, 1-7, 2014 | 4 | 2014 |
Robust Statistical Methods for Rapid Data Labelling J Godwin, P Matthews Data Mining and Analysis in the Engineering Field, 107-141, 2014 | 4 | 2014 |
Adventures in deep learning geometry D Waagen, D Hulsey, J Godwin, D Gray Automatic Target Recognition XXX 11394, 138-152, 2020 | 3 | 2020 |
A geometric statistic for deep learning model confidence and adversarial defense D Waagen, D Hulsey, J Godwin, D Gray Automatic Target Recognition XXXII 12096, 48-61, 2022 | 1 | 2022 |
t-SNE or not t-SNE, that is the question D Waagen, D Hulsey, J Godwin, D Gray, J Barton, B Farmer Automatic Target Recognition XXXI 11729, 62-71, 2021 | 1 | 2021 |
Compute-bound and low-bandwidth distributed 3D graph-SLAM J Zhang, AR Willis, J Godwin Unmanned Systems Technology XXII 11425, 21-37, 2020 | 1 | 2020 |
A Low Frequency Uni-variate Model for the Effective Diagnosis and Prognosis of Bearing Signals Based Upon High Frequency Data JL Godwin, P Matthews Annual Conference of the PHM Society 6 (1), 2014 | 1 | 2014 |
What’s data got to do with it? J Godwin, D Waagen, D Hulsey, R Lyons, R Mattson, J Garcia, D Geci, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | | 2021 |
Advanced operation & maintenance J Godwin | | |