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...
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| Vydané v: | Journal of algorithms & computational technology Ročník 19 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
SAGE Publishing
01.06.2025
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| ISSN: | 1748-3018, 1748-3026 |
| On-line prístup: | Získať plný text |
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