A Hybrid Deep Learning Approach for Performance Prediction in Optical Communication Systems Based on PON Scenarios
> 0.94) and low error metrics confirm the effectiveness of the framework, highlighting its potential as a fast and reliable alternative to traditional performance evaluation methods in next-generation optical access networks.
Authors
- Esra Gündoğan (ORCID: https://orcid.org/0000-0001-7331-3348)
- Ali Muslim
- Reda Alhajj
Institutions
- Fırat University (TR)
- University of Turku (FI)
- University of Calgary (CA)
- University of Southern Denmark (DK)
- Istanbul Medipol University (TR)
- Software (Spain) (ES)
Publication Details
- Journal
- Sensors
- Published
- 2026-04-12
- DOI
- https://doi.org/10.3390/s26082377
- Primary Topic
- Advanced Photonic Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Firat Üniversitesi