Machine Learning Classification Approach for Refractive Index Prediction of D-Shape Plasmonic Biosensor-Reference-Cited by-同舟云学术

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Machine Learning Classification Approach for Refractive Index Prediction of D-Shape Plasmonic Biosensor

Published:2024-08-26 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS)
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Author:

Islam Nazrul¹,Hasan Md. Nahid²,Hasan Mia Mohammad Shoaib³,Shibly Imam Hossain³,Yousuf Mohammad Abu¹,Uddin Md. Zia⁴

Affiliation:

1. Institute of Information Technology, Jahangirnagar University,Savar, Dhaka,Bangladesh,1342

2. Khulna University,Computer Science and Engineering Discipline,Khulna,Bangladesh,9208

3. Rajshahi University of Engineering and Technology,Department of Electrical and Electronic Engineering,Rajshahi,Bangladesh,6204

4. Sustainable Communication Technologies, SINTEF Digital,Oslo,Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10791323/10791342/10791371.pdf?arnumber=10791371

Reference21 articles.

1. Identification of Antibiotic Resistance in ESKAPE Pathogens through Plasmonic Nanosensors and Machine Learning

2. Machine learning assisted dual-functional nanophotonic sensor for organic pollutant detection and degradation in water

3. Machine learning for nanoplasmonics

4. Machine learning approach to surface plasmon resonance sensor based on MXene coated PCF for malaria disease detection in RBCs

5. Optimization of Novel 2D Material Based SPR Biosensor Using Machine Learning

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