Machine Learning Approach for Frozen Tuna Freshness Inspection Using Low-Frequency A-Mode Ultrasound-Reference-Cited by-同舟云学术

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Machine Learning Approach for Frozen Tuna Freshness Inspection Using Low-Frequency A-Mode Ultrasound

Published:2023 Issue: Volume:11 Page:107379-107393
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sakai Akira¹^ORCID,Yagi Masafumi²,Yasutomi Suguru¹,Mizuno Kazuki²,Suzuki Kanata¹^ORCID,Goto Keiichi²

Affiliation:

1. Artificial Intelligence Laboratory, Fujitsu Research, Fujitsu Ltd., Kawasaki, Japan

2. School of Marine Science and Technology, Tokai University, Shizuoka-shi, Japan

Funder

Joint Research Between Fujitsu Ltd

Tokai University

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/ielx7/6287639/10005208/10264073.pdf?arnumber=10264073

Reference89 articles.

1. Measurement of road surfaces by reflection characteristics of airborne ultrasound

2. Discriminant Analysis

3. Review of deep learning for photoacoustic imaging

4. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

5. State of the art review of inspection technologies for condition assessment of water pipes

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1. Progress and challenges in ultrasonic technology for state estimation and defect detection of lithium-ion batteries;Energy Storage Materials;2024-05

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