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

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

Rapid and sensitive bioburden detection is of paramount importance in different applications including public health, and food and water safety. To overcome the traditional limitations of bacterial detection i.e., lengthy culture time, and complicated procedure, a low-cost, portable multichannel flu...

Full description

Bibliographic Details
Main Authors: Md Sadique Hasan, Chad Sundberg, Hasibul Hasan, Yordan Kostov, Xudong Ge, Fow-Sen Choa, Govind Rao
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bioburden
fluorescence
machine learning
supervised algorithm
unsupervised algorithm
features
Online Access:https://ieeexplore.ieee.org/document/10213451/

Internet

https://ieeexplore.ieee.org/document/10213451/

Similar Items