DeepDDM: A Compact Deep-Learning Assisted Platform for Micro-Rheological Assessment of Micro-Volume Fluids-Reference-Cited by-同舟云学术

DeepDDM: A Compact Deep-Learning Assisted Platform for Micro-Rheological Assessment of Micro-Volume Fluids

Published:2023 Issue: Volume:11 Page:66467-66477
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jarujareet Ungkarn¹,Wiratchawa Kannika²,Panpisut Piyaphong³,Intharah Thanapong²^ORCID

Affiliation:

1. National Science and Technology Development Agency (NSTDA), Khlong Luang, Pathum Thani, NECTEC, Thailand

2. Department of Statistics, Visual Intelligence Laboratory, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand

3. Faculty of Dentistry, Thammasat University, Khlong Luang, Pathum Thani, Thailand

Funder

National Science, Research and Innovation Fund (NSRF) via the Program Management Unit for Human Resources and Institutional Development, Research and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10167632.pdf?arnumber=10167632

Reference56 articles.

1. Structure And Function of Human Salivary Mucins

2. Oral processing, texture and mouthfeel: From rheology to tribology and beyond

3. A portable extensional rheometer for measuring the viscoelasticity of pitcher plant and other sticky liquids in the field

4. Plasma viscosity: A forgotten variable

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