A Decision Tree Network with Semi-Supervised Entropy Learning Strategy for Spectroscopy Aided Detection of Blood Hemoglobin

Author:

Chen Huazhou,Li Xiaorong,Qiao Hanli,Chen An,Cai Ken

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference35 articles.

1. The detection of saffron adulterants using a deep neural network approach based on RGB images taken under uncontrolled conditions;P Alighaleh;Expert Systems with Applications,2021

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3. Automated Cardiac Pulse Cycle Analysis from Photoplethysmogram (PPG) Signals Generated from Fingertip Videos Captured Using a Smartphone to Measure Blood Hemoglobin Levels;M H Aziz;IEEE Journal of Biomedical and Health Informatics,2021

4. Non-invasive identification of commercial green tea blends using NIR spectroscopy and support vector machine;V G K Cardoso;Microchemical Journal,2020

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