Solid oxide fuel cells for shipping: A machine learning model for early detection of hazardous system deviations

Title
Solid oxide fuel cells for shipping: A machine learning model for early detection of hazardous system deviations
Authors
Keywords
-
Journal
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
Volume 172, Issue -, Pages 184-194
Publisher
Elsevier BV
Online
2023-02-11
DOI
10.1016/j.psep.2023.02.022

Ask authors/readers for more resources

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search