Sep 2026
Utilize deep learning classification of multi-sensor time series data to promote coastal environmental monitoring
The experimental findings indicate that the integrated GNN-GRU-MLP framework is effective in learning general Temporal relational representations, which show an overall classification accuracy of 97.25%, being balanced in the precision, recall, and F1-scores across all classes.
Azath Mubarakali, A. Alqahtani, Hashim Elshafie et al.
· Theoretical and Applied Clim... · 0 citations