Hybrid deep learning framework for robust time-series classification: Integrating inception modules with residual networks
Accurate time-series classification (TSC) remains a fundamental challenge in deep learning due to the complexity and variability of temporal patterns. While recurrent neural networks (RNNs) such as LSTM and GRU have shown promise in modeling sequential dependencies, they often suffer from limitation...
Saved in:
| Published in: | Journal of algorithms & computational technology Vol. 19 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
SAGE Publishing
01.06.2025
|
| ISSN: | 1748-3018, 1748-3026 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!