McNally, W., Vats, K., Wong, A., & McPhee, J. (2021). EvoPose2D: Pushing the boundaries of 2d human pose estimation using accelerated neuroevolution with weight transfer IEEE Access, 9, 139403‐‐139414.
References
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2021
Nasr, A., Inkol, K. A., Bell, S., & McPhee, J. (2021). InverseMuscleNET: Alternative machine learning solution to static optimization and inverse muscle modeling Frontiers in Computational Neuroscience. https://doi.org/10.3389/fncom.2021.759489 (Original work published 2021)
Nasr, A., Inkol, K. A., Bell, S., & McPhee, J. (2021). InverseMuscleNET: alternative machine learning solution to static optimization and inverse muscle modeling Frontiers in Computational Neuroscience, 15, 759489.
Zhao, J., Li, X., Shum, C., & McPhee, J. (2021). A review of physics‐based and data‐driven models for real‐time control of polymer electrolyte membrane fuel cells Energy and AI, 6, 100114.
Masoudi, R., & McPhee, J. (2021). Application of Karhunen‐‐Lo\ eve decomposition and piecewise linearization to a physics‐based battery model Electrochimica Acta, 365, 137093.
2020
Wang, C., Erkorkmaz, K., McPhee, J., & Engin, S. (2020). In‐process digital twin estimation for high‐performance machine tools with coupled multibody dynamics CIRP Annals, 69, 321‐‐324.
McNally, W., & McPhee, J. (2020). Investigating the Influence of Shaft Balance Point on Clubhead Speed: A Simulation Study Presented at the 13th Conference of the International Sports Engineering Association conference. Retrieved from https://www.mdpi.com/2504-3900/49/1/156 (Original work published 2020)
Ezati, M., Brown, P., Ghannadi, B., & McPhee, J. (2020). Comparison of Direct Collocation Optimal Control to Trajectory Optimization for Parameter Identification of an Ellipsoidal Foot-Ground Contact Model Multibody System Dynamics. https://doi.org/10.1007/s11044-020-09731-3
Maitland, A., & McPhee, J. (2020). Quasi‐translations for fast hybrid nonlinear model predictive control Control Engineering Practice, 97, 104352.
Lin, Y., McPhee, J., & Azad, N. L. (2020). Comparison of deep reinforcement learning and model predictive control for adaptive cruise control IEEE Transactions on Intelligent Vehicles, 6, 221‐‐231.