Decision Tree Regression Supervised Machine Learning Assisted Large Dynamic Range Refractive Index Detection Using MMI Coreless Multimode Fiber Sensor-Reference-Cited by-同舟云学术

Decision Tree Regression Supervised Machine Learning Assisted Large Dynamic Range Refractive Index Detection Using MMI Coreless Multimode Fiber Sensor

Published:2024-04-15 Issue:8 Volume:24 Page:12433-12440
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Mohd Noor Muhammad Yusof¹^ORCID,Azizan Azizul²^ORCID,Saimon Siti Mahfuza¹^ORCID,Azmi Asrul Izam¹,Iqbal Farabi¹^ORCID,Abdullah Ahmad Sharmi¹,Zhang Jianzhong³^ORCID,Shapiai Mohd Ibrahim⁴^ORCID

Affiliation:

1. Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

2. Advanced Informatics Department, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

3. Key Laboratory of In-Fiber Integrated Optics of Ministry of Education, Harbin Engineering University, Harbin, China

4. Center for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Johor Bahru, Malaysia

Funder

Fundamental Research Grant Scheme

Ministry of Higher Education, Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10500449/10466526.pdf?arnumber=10466526

Reference36 articles.

1. Recent advances in photonic crystal fiber-based sensors for biomedical applications

2. Laser-Based Four-Core Biosensor With WS₂ Thin-Film/CeO₂-Nanorods/AuNPs Immobilization for Ascorbic Acid Detection

3. Experimental Study of Dual-Parameter SPR Sensor With Integrated Sensing Channel

4. SPR Sensor Based on Cascaded NCF and U-Shaped Multimode Fibers for Simultaneous Detection of Refractive Index and Temperature

5. Highly Improved Refractive Index Sensitivity in Fiber Mach-Zehnder Interferometer Based on Two Tapers