A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network-Reference-Cited by-同舟云学术

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A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network

Published:2024-05-16 Issue:4 Volume:23 Page:291-304
ISSN:2046-4177
Container-title:Journal of Marine Engineering & Technology
language:en
Short-container-title:Journal of Marine Engineering & Technology

Author:

Biçen Samet¹^ORCID,Celik Metin²³

Affiliation:

1. Department of Marine Engineering, Istanbul Technical University, Istanbul, Turkey

2. Department of Basic Science, Istanbul Technical University, 34940, Istanbul, Turkey

3. Industrial Data Analytics and Decision Support Systems Center, Azerbaijan State University of Economics (UNEC), Baku AZ1001, Azerbaijan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/20464177.2024.2353407

Reference55 articles.

1. Machine learning based diabetes prediction and development of smart web application

2. Utilisation of cognitive map in modelling human error in marine accident analysis and prevention

3. Investigating the impact of inflation on labour wages in Construction Industry of Malaysia

4. American Bureau of Shipping (ABS). n.d. https://ww2.eagle.org/content/dam/eagle/rules-and-guides/current/other/142_investigationofmarineincidents/pub142_analysis_map.pdf [WWW Document].

5. Concrete compressive strength using artificial neural networks

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