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of 6
pro vyhledávání: '"Sigiel, Norbert"'
Automatic Classification of Unexploded Ordnance (UXO) Based on Deep Learning Neural Networks (DLNNS)
Publikováno v:
Polish Maritime Research, Vol 31, Iss 1, Pp 77-84 (2024)
This article discusses the use of a deep learning neural network (DLNN) as a tool to improve maritime safety by classifying the potential threat to shipping posed by unexploded ordnance (UXO) objects. Unexploded ordnance poses a huge threat to mariti
Externí odkaz:
https://doaj.org/article/bf33a4f9b15c46baa396eb71505edc48
A Method for the Interpretation of Sonar Data Recorded during Autonomous Underwater Vehicle Missions
Publikováno v:
Polish Maritime Research, Vol 29, Iss 3, Pp 176-186 (2022)
Image acquisition from autonomous underwater vehicles (AUVs) is useful for mapping objects on the seabed. However, there are few studies on the interpretation of data collected with side-scan sonar during autonomous underwater vehicle missions. By re
Externí odkaz:
https://doaj.org/article/db7001568cbd498aab139913e797e306
Publikováno v:
Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie; 2024, Issue 197, p183-205, 23p
Akademický článek
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Publikováno v:
Journal of Konbin; Dec2018, Vol. 48 Issue 1, p149-168, 20p
Autor:
Sigiel, Norbert
Publikováno v:
Zeszyty Naukowe Akademii Marynarki Wojennej = Scientific Journal of Polish Naval Academy; March 2019, Vol. 216 Issue: 1 p31-43, 13p