Graphene/TiO<sub>2</sub> Nanocomposite based Electrochemical Biosensor Enhanced by Support Vector Machine Classification Model to Detect Different DENV Serotype IgG-Reference-Cited by-同舟云学术

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Graphene/TiO₂ Nanocomposite based Electrochemical Biosensor Enhanced by Support Vector Machine Classification Model to Detect Different DENV Serotype IgG

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE SENSORS
language:
Short-container-title:

Author:

Hui Tan Shi¹,Xiang Desmond Teo Kai²,Loh Hwei-San¹,Maul Tomas³,Tan Michelle T. T.²

Affiliation:

1. School of Biosciences, University of Nottingham,Selangor,Malaysia

2. University of Nottingham,Department of Electrical and Electronic,Selangor,Malaysia

3. School of Computer Science, University of Nottingham,Malaysia,Selangor

Funder

CREST

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10324456/10324848/10325156.pdf?arnumber=10325156

Reference15 articles.

1. Multiobjective Tree-Structured Parzen Estimator

2. Multiobjective tree-structured parzen estimator for computationally expensive optimization problems

3. Screen Printed Carbon Electrode Based Electrochemical Immunosensor for the Detection of Dengue NS1 Antigen

4. Noncovalent Interaction of Single-Walled Carbon Nanotubes with 1-Pyrenebutanoic Acid Succinimide Ester and Glucoseoxidase

5. Intelligent analysis of maleic hydrazide using a simple electrochemical sensor coupled with machine learning

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