A Novel Method on Hydrographic Survey Technology Selection Based on the Decision Tree Supervised Learning

A Novel Method on Hydrographic Survey Technology Selection Based on the Decision Tree Supervised Learning

Hydrographic survey or seabed mapping plays an important role in achieving better maritime safety, especially in coastal waters. Due to advances in survey technologies, it becomes important to choose well-suited technology for a specific area. Moreover, various technologies have various ranges of eq...

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Bibliographic Details
Main Authors: Ivana Golub Medvešek, Igor Vujović, Joško Šoda, Maja Krčum
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
supervised learning
decision tree
hydrographic survey
weighted sum model
Online Access:https://www.mdpi.com/2076-3417/11/11/4966

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