| Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series A Vaughan, SV Bohac Neural Networks 70, 18-26, 2015 | 50 | 2015 |
| Adaptive machine learning method to predict and control engine combustion A Vaughan US Patent 10,030,602, 2018 | 23 | 2018 |
| A cycle-to-cycle method to predict HCCI combustion phasing A Vaughan, SV Bohac Internal Combustion Engine Division Fall Technical Conference 56093, V001T03A026, 2013 | 22 | 2013 |
| An extreme learning machine approach to predicting near chaotic HCCI combustion phasing in real-time A Vaughan, SV Bohac arXiv preprint arXiv:1310.3567, 2013 | 18 | 2013 |
| Design and validation of a dynamic cell‐culture system for bone biology research and exogenous tissue‐engineering applications AC Allori, EH Davidson, DD Reformat, AM Sailon, J Freeman, A Vaughan, ... Journal of tissue engineering and regenerative medicine 10 (10), E327-E336, 2016 | 14 | 2016 |
| Variable Runner Length Intake Manifold Design: An Interim Progress Report A Vaughan, GJ Delagrammatikas SAE Technical Paper, 2010-01-1112, 2010 | 14 | 2010 |
| A High Performance, Continuously Variable Engine Intake Manifold A Vaughan, GJ Delagrammatikas SAE Technical Paper, 2011-01-0420, 2011 | 12 | 2011 |
| Adaptive Machine Learning for Modeling and Control of Non-Stationary, Near Chaotic Combustion in Real-Time A Vaughan University of Michigan, Ann Arbor, 0 | 11 | |
| Systems and Methods for Modeling and Controlling Physical Dynamical Systems using Artificial Intelligence A Vaughan WO Patent App. PCT/US2019/046,659, 2020 | 5 | 2020 |
| An Onboard Telemetry System for Low-Level Electrical Signals A Vaughan, GJ Delagrammatikas SAE Technical Paper 2010, 2010-01-0191, 2010 | 2 | 2010 |
