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Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties

Research article (Heliyon, 2022) · cited 33× · AI/ML
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Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties

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Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties is a scholarly article[1].

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  • Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-methods-for-estimating-bent-photonic-crystal-fiber-based-spr-sensor-properties
MLA “Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-methods-for-estimating-bent-photonic-crystal-fiber-based-spr-sensor-properties.
BibTeX @misc{4ortxyz_machine-learning-methods-for-estimating-bent-photonic-crystal-fiber-based-spr-sensor-properties_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-methods-for-estimating-bent-photonic-crystal-fiber-based-spr-sensor-properties}, note = {Accessed: 2026-05-24}}
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