Skip to content

Author

Ali M. Eltamaly

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#federated learning Open access Sep 2026

Federated Physics-Informed Neural Networks for Privacy-Preserving Lithium-Ion Battery Degradation Prognostics Under Sparse Data Conditions

Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs), renewable energy storage systems (ESSs), and smart grids, but accurate degradation and remaining useful life (RUL) prediction remains challenging under sparse data and distributed data-storage conditions. This study proposes a Federated Physics-In...

Ali M. Eltamaly, S. Al-Senaidi · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.