Barimah, A.K.; Onu, O.P.; Niculita, O.; Cowell, A.; McGlinchey, D.
Scalable Data Transformation Models for Physics-Informed Neural Networks (PINNs) in Digital Twin-Enabled Prognostics and Health Management (PHM) Applications. Computers 2025, 14, 121.
https://doi.org/10.3390/computers14040121
AMA Style
Barimah AK, Onu OP, Niculita O, Cowell A, McGlinchey D.
Scalable Data Transformation Models for Physics-Informed Neural Networks (PINNs) in Digital Twin-Enabled Prognostics and Health Management (PHM) Applications. Computers. 2025; 14(4):121.
https://doi.org/10.3390/computers14040121
Chicago/Turabian Style
Barimah, Atuahene Kwasi, Ogwo Precious Onu, Octavian Niculita, Andrew Cowell, and Don McGlinchey.
2025. "Scalable Data Transformation Models for Physics-Informed Neural Networks (PINNs) in Digital Twin-Enabled Prognostics and Health Management (PHM) Applications" Computers 14, no. 4: 121.
https://doi.org/10.3390/computers14040121
APA Style
Barimah, A. K., Onu, O. P., Niculita, O., Cowell, A., & McGlinchey, D.
(2025). Scalable Data Transformation Models for Physics-Informed Neural Networks (PINNs) in Digital Twin-Enabled Prognostics and Health Management (PHM) Applications. Computers, 14(4), 121.
https://doi.org/10.3390/computers14040121