Publications, Activities, and Awards
- Transient Modeling of a Solid Oxide Fuel Cell using an Efficient Deep Learning HY-CNN-NARX Paradigm
- Developing an Efficient Model for a SOFC System Using Self-supervised Convolutional Autoencoder and Stateful LSTM Network
- Performance Prediction of a Range of Diverse Solid Oxide Fuel Cells using Deep Learning and Principal Component Analysis
- SOFC Database