Taguchi method: artificial neural network approach for the optimization of high-efficiency microfluidic biosensor for COVID-19-Reference-Cited by-同舟云学术

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Taguchi method: artificial neural network approach for the optimization of high-efficiency microfluidic biosensor for COVID-19

Published:2023-04-27 Issue:4 Volume:138 Page:
ISSN:2190-5444
Container-title:The European Physical Journal Plus
language:en
Short-container-title:Eur. Phys. J. Plus

Author:

Ben Romdhane Imed,Jemmali Asma,Kaziz Sameh,Echouchene Fraj,Alshahrani Thamraa,Belmabrouk Hafedh^ORCID

Funder

Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,Fluid Flow and Transfer Processes

Link

https://link.springer.com/content/pdf/10.1140/epjp/s13360-023-03988-1.pdf

Reference53 articles.

1. F. Shahbazi, M. Jabbari, M. N. Esfahani, and A. Keshmiri, Numerical simulation of Langmuir–Hinshelwood mechanism for heterogeneous biosensors in microfluidic channel. in European Medical and Biological Engineering Conference (Springer, 2020), pp. 905–914

2. C. Tymm, J. Zhou, A. Tadimety, A. Burklund, J.X. Zhang, Scalable COVID-19 detection enabled by lab-on-chip biosensors. Cell. Mol. Bioeng. 13(4), 313–329 (2020)

3. P. Liu et al., A universal bonding method for preparation of microfluidic biosensor. Microfluid. Nanofluid. 25(5), 1–10 (2021)

4. C. Huang et al., Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395(10223), 497–506 (2020)

5. F. Shahbazi, M. Jabbari, M.N. Esfahani, A. Keshmiri, A computational simulation platform for designing real-time monitoring systems with application to COVID-19. Biosens. Bioelectron. 171, 112716 (2021)

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