Daniel G. McClement

Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

Yunyan Zhang, Daphne Hong, Daniel G. McClement et al. · Journal of Neuroscience Methods · 2021 · 184 citations

Neuroimaging Biomarkers, Multiple Sclerosis Types, Engineering +10

Deep reinforcement learning with shallow controllers: An experimental application to PID tuning

Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen et al. · Control Engineering Practice · 2022 · 103 citations · Full text

Artificial Intelligence, Experimental Application, Engineering +9

Meta-reinforcement learning for the tuning of PI controllers: An offline approach

Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström et al. · Journal of Process Control · 2022 · 41 citations

Artificial Intelligence, Engineering, Meta-reinforcement Learning +11

Frequency Analysis of Water Electrolysis Current Fluctuations in a PEM Flow Cell: Insights into Bubble Nucleation and Detachment

Jason Tai Hong Kwan, Amin Nouri-Khorasani, Arman Bonakdarpour et al. · Journal of The Electrochemical Society · 2022 · 28 citations · Full text

Electrohydrodynamics, Engineering, Fluid Mechanics +23