Daniel J. Smith
Orcid: 0009-0003-6543-0159
According to our database1,
Daniel J. Smith authored at least 10 papers
between 1996 and 2026.
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Bibliography
2026
A digital twin for diesel engines: Operator-infused physics-informed neural networks with transfer learning for engine health monitoring.
Eng. Appl. Artif. Intell., 2026
A parallel Seq2Seq neural architecture for long-horizon performance forecasting and online condition monitoring of fuel cells.
Appl. Soft Comput., 2026
Dynamic Kolmogorov-Arnold networks for time-varying degradation modeling in solid oxide fuel cells.
Adv. Eng. Informatics, 2026
2025
A deep Conv-Atten-KAN architecture to identify solid oxide fuel cell dynamics under fuel starvation.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025
2024
Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance.
Eng. Appl. Artif. Intell., 2024
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring.
CoRR, 2024
Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network.
Proceedings of the American Control Conference, 2024
2023
Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines.
CoRR, 2023
2011
Proceedings of the American Control Conference, 2011
1996
Proceedings of the Conference on Human Factors in Computing Systems: Common Ground, 1996