Optimization of a Deep Learning Model for E. Coli Detection Based on Annotation Strategies-Reference-Cited by-同舟云学术

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Optimization of a Deep Learning Model for E. Coli Detection Based on Annotation Strategies

Published:2023-09-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
language:
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Author:

Mohd Talib Khairul Firdaus¹,Johar Muhamad Syahmi¹,Yap Jia Xin²,Leo Choe Peng²,Yu Kok Hwa¹,Sam Yen Kin¹

Affiliation:

1. School of Mechanical Engineering, Universiti Sains Malaysia,Penang,Malaysia

2. School of Chemical Engineering, Universiti Sains Malaysia,Penang,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291172/10291205/10291261.pdf?arnumber=10291261

Reference37 articles.

1. Optical Fiber Biosensor toward E-coli Bacterial Detection on the Pollutant Water

2. A Review of Yolo Algorithm Developments

3. Fast and sensitive detection of bacteria from a water droplet by means of electric field effects and micro-Raman spectroscopy

4. Rapid detection of Escherichia coli using fiber optic surface plasmon resonance immunosensor based on biofunctionalized Molybdenum disulfide (MoS2) nanosheets

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