Rapid Bacterial Detection and Identification of Bacterial Strains Using Machine Learning Methods Integrated With a Portable Multichannel Fluorometer

Author:

Hasan Md Sadique1,Sundberg Chad1,Hasan Hasibul1ORCID,Kostov Yordan1,Ge Xudong1ORCID,Choa Fow-Sen2ORCID,Rao Govind1ORCID

Affiliation:

1. Center for Advanced Sensor Technology, University of Maryland Baltimore County, Baltimore, MD, USA

2. Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA

Funder

U.S. Food and Drug Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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4. Rapid detection methods for Bacillus anthracis in environmental samples: a review

5. Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments

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