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Glucose content analysis using image processing and machine learning techniques

Technology is constantly evolving to make it easier for people to work in biomedical research and technology daily. The glucose level checking system can use a urine analyzer detector as a color reader of the urine strip. This work aims to analyse glucose levels based on digital picture identificati...

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Bibliographic Details
Main Authors: Yudhana, Anton, Akbar, Son Ali, Farezi, Andrio, Kamarul Hawari, Ghazali, Nuraisyah, Fatma, Rosyady, Phisca Aditya
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39427/1/Glucose%20Content%20Analysis%20using%20Image%20Processing%20and%20Machine%20Learning.pdf
http://umpir.ump.edu.my/id/eprint/39427/2/Glucose%20content%20analysis%20using%20image%20processing%20and%20machine%20learning%20techniques_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39427/
https://doi.org/10.1109/ICOIACT55506.2022.9972142
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http://umpir.ump.edu.my/id/eprint/39427/1/Glucose%20Content%20Analysis%20using%20Image%20Processing%20and%20Machine%20Learning.pdf
http://umpir.ump.edu.my/id/eprint/39427/2/Glucose%20content%20analysis%20using%20image%20processing%20and%20machine%20learning%20techniques_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39427/
https://doi.org/10.1109/ICOIACT55506.2022.9972142

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