Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits
Christos Petridisand Michael Vassilakopoulos
Christos Petridis
Department of Electrical and Computer Engineering, University of Thessaly, Sekeri & Cheiden Str., 38334 Volos, Greece
Michael Vassilakopoulos
Department of Electrical and Computer Engineering, University of Thessaly, Sekeri & Cheiden Str., 38334 Volos, Greece
Viewed
Total article views: 977 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
440
504
33
977
54
146
HTML: 440
PDF: 504
XML: 33
Total: 977
BibTeX: 54
EndNote: 146
Views and downloads (calculated since 31 May 2024)
Cumulative views and downloads
(calculated since 31 May 2024)
Viewed (geographical distribution)
Total article views: 962 (including HTML, PDF, and XML)
Thereof 962 with geography defined
and 0 with unknown origin.