Web application with data centric approach to ship powering prediction using deep learning

Web application with data centric approach to ship powering prediction using deep learning

This work describes an AI-based web application to predict passenger ship powering requirements. The data centric approach is developed based on the actual passenger ship design data as a design tool to assist naval architects to quickly estimate the ship brake power. It emphasised on the preliminar...

Full description

Saved in:
Bibliographic Details
Main Authors: Khairuddin, Jauhari, Abdul Malik, Adi Maimun, Hiekata, Kazuo, Siow, Chee Loon, Ali, Arifah
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Q Science (General)
QA Mathematics
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://eprints.utm.my/104129/1/AdiMaimunAbdul2022_WebApplicationwithDataCentricApproach.pdf
http://eprints.utm.my/104129/
http://dx.doi.org/10.1016/j.simpa.2022.100226
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/104129/1/AdiMaimunAbdul2022_WebApplicationwithDataCentricApproach.pdf
http://eprints.utm.my/104129/
http://dx.doi.org/10.1016/j.simpa.2022.100226

Similar Items