Machine learning-assisted multi-objective optimization of photonic crystal fiber SPR sensors
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Research context
OpenAlex topics: Advanced Fiber Optic Sensors · Photonic Crystal and Fiber Optics · Plasmonic and Surface Plasmon Research
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References (30)
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1. High sensitivity and wide detection range temperature and refractive index photonic crystal fiber sensor10.1088/1555-6611/ad5159 ↗
2. Surface plasmon resonance induced methane gas sensor in hollow core anti-resonant fiber10.1016/j.yofte.2023.103293 ↗
3. Optimizing drug discovery: Surface plasmon resonance techniques and their multifaceted applications10.1016/j.chphi.2023.100414 ↗
4. Numerical analysis of solid-core photonic crystal fiber based on plasmonic materials for analyte refractive index sensing10.3390/photonics10101070 ↗
5. Numerical development of high performance quasi D-shape PCF-SPR biosensor: An external sensing approach employing gold
6. Design and optimization of terahertz-based D-shaped photonic crystal fiber for blood component detection10.1109/JSEN.2024.3437245 ↗
7. Design and analysis of a double D-shaped dual-core PCF sensor for detecting biomolecules in the human body10.1109/JSEN.2024.3380095 ↗
8. Finite element method-based modeling of a novel square photonic crystal fiber surface plasmon resonance sensor with a Au-TiO2 interface and the relevance of artificial intelligence techniques in sensor optimization10.3390/photonics12060565 ↗
9. Numerical study of a novel kagome-inspired photonic crystal fiber-based surface plasmon resonance biosensor for detection of blood components and analytical targets10.3390/bios15080539 ↗
10. Synergistic integration of SPR with photonic crystal fibers for emerging biosensing strategies and real-world applications10.1109/SR.2025.3586996 ↗
11. Recent advances in photonic crystal fiber-based SPR biosensors: Design strategies, plasmonic materials, and applications10.3390/mi16070747 ↗
12. Development of a generalized Fourier transform model for distinct household oil samples by performing spectroscopy analysis10.1016/j.rio.2023.100355 ↗
13. Bidirectional design for SPR-photonic crystal fiber magnetic field sensor based on deep learning10.1109/JSEN.2023.3344121 ↗
14. Advanced PCF-SPR biosensor design and performance optimization using machine learning techniques10.1016/j.ijleo.2025.172391 ↗
15. A highly sensitive multi-channel SPR-PCF based biosensor with deep learning prediction approach10.1016/j.aej.2023.06.093 ↗
16. Artificial neural network based optimization for Ag grated D-shaped optical fiber surface plasmon resonance refractive index sensor10.1016/j.optcom.2023.129332 ↗
17. Design and analysis of arc-shaped single core photonic crystal fiber sensor based on surface plasmon resonance10.1016/j.photonics.2023.101218 ↗
18. Dual-polarization SPR sensor of U-shaped photonic crystal fiber coated with Au-TiO210.1007/s11468-024-02501-3 ↗
19. D-shaped photonic crystal fiber plasmonic sensor based on Au-Ta2O5 composite micro-grating10.1007/s11468-024-02412-3 ↗
20. Highly sensitive dual-side polished SPR PCF sensor for ultra-wide analyte range in the visible to near-IR operating band10.1007/s11082-024-07146-4 ↗
21. Highly sensitive PCF based plasmonic biosensor for hemoglobin concentration detection10.1016/j.photonics.2022.101040 ↗
22. Dual-core-enhanced surface plasmon resonance for sensing high refractive index liquid based on photonic crystal fiber
23. Machine learning approach for SPR based photonic crystal fiber sensor for breast cancer cells detection
24. A machine learning approach for designing surface plasmon resonance PCF-based sensors
25. A critical review of multi-output support vector regression10.1016/j.patrec.2023.12.007 ↗
26. Detection of proteins in a surface plasmon resonance biosensor based on hybrid metasurface architecture and behaviour prediction using random forest regression10.1007/s11468-024-02712-8 ↗
27. Performance prediction of a highly sensitive optimized PCF-SPR biosensor for cancer cell detection using MLP-Based ANN model10.1109/JSEN.2025.3556292 ↗
28. Dual-core silver-coated plasmonic sensor modeling with machine learning10.1016/j.heliyon.2024.e38175 ↗
29. A comprehensive survey on NSGA-II for multi-objective optimization and applications10.1007/s10462-023-10526-z ↗
30. Multi-criteria model for selection of optical linear terminals based on FUZZY TOPSIS method10.32620/reks.2024.1.06 ↗