Embedded Port Infrastructure Inspection using Artificial Intelligence-Reference-Cited by-同舟云学术

Embedded Port Infrastructure Inspection using Artificial Intelligence

Published:2023-06-05 Issue: Volume: Page:
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Container-title:OCEANS 2023 - Limerick
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Author:

Vigne Nicolas¹,Barrère Rémi¹,Blanck Benjamin²,Steffens Florian³,Au Ching Nok⁴,Riordan James⁵,Dooly Gerard⁶

Affiliation:

1. THALES Research & Technology,Palaiseau,France

2. SEC 11 – Research and Development Hamburg Port Authority,Hamburg,Germany

3. Hamburg Port Authority,Technical Department for Building Inspection and Building Materials Advice,Hamburg,Germany

4. Fraunhofer Gesellschaft,Center für Maritime Logistik und Dienstleistungen,Hamburg,Germany

5. University of the West of Scotland,School of Computing, Engineering and Physics Sciences,Glasgow,Scotland

6. University of Limerick,Department of Electronics & Computer Engineering,Limerick,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244175/10244247/10244507.pdf?arnumber=10244507

Reference22 articles.

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3. A Comprehensive Survey of Image Augmentation Techniques for Deep Learning

4. Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning;pan;Advances in neural information processing systems,2020

5. Fighting Quantization Bias With Bias;alexander;Computing Research Repository,2019

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