GACSNet: A Lightweight Network for the Noninvasive Blood Glucose Detection-Reference-Cited by-同舟云学术

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GACSNet: A Lightweight Network for the Noninvasive Blood Glucose Detection

Published:2022-06-05 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Yang Rui¹²^ORCID,Wu Yingnian¹²³^ORCID,Liu Xiaolong¹^ORCID,Chen Wenbai¹

Affiliation:

1. School of Automation, Beijing Information Science and Technology University, Beijing, China

2. Institute of Intelligent Networked Things and Cooperative Control, BISTU, Beijing, China

3. Intelligent Perception and Control of High-end Equipment Beijing International Science and Technology Cooperation Base, BISTU, Beijing, China

Funder

Beijing Natural Science Foundation

Qin Xin Talents Cultivation Program, Beijing Information Science and Technology University

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2081898

Reference31 articles.

1. Noninvasive Measurement of Glucose by Metabolic Heat Conformation Method

2. Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy—opportunities and recent advances

3. GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification

4. Deep Residual Learning for Image Recognition

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flexible cellulose paper-based biosensor from inkjet printing for non-invasive glucose monitoring;Polymer Testing;2024-08

2. Green Hydrothermal Preparation of Ag-CP Nanocomposites with Lily Bulbs for Non-Enzymatic Glucose Detection;Journal of Electronic Materials;2024-07-05

3. Application of Improved ResNet18 Based Neural Network for Non-invasive Blood Glucose Testing;Communications in Computer and Information Science;2024

4. Optoacoustic classification of diabetes mellitus with the synthetic impacts via optimized neural networks;Heliyon;2023-10

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