Klemm, Jannik (2022) Deep Learning for Situational Awareness in a Maritime Environment. WAW Machine Learning, 2022-11-07 - 2022-11-09, Jena, Germany. (Unpublished)
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Abstract
The general future objectives and research questions are presented. In addition, we trained a LSTM model to predict future wave heights depending on previous local weather information. For the prediction, wave heights are classified for several wave height intervals.
Item URL in elib: | https://elib.dlr.de/195737/ | ||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||
Title: | Deep Learning for Situational Awareness in a Maritime Environment | ||||||||
Authors: |
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Date: | 7 November 2022 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | No | ||||||||
Gold Open Access: | No | ||||||||
In SCOPUS: | No | ||||||||
In ISI Web of Science: | No | ||||||||
Status: | Unpublished | ||||||||
Keywords: | weather time series, long short-term memory, deep learning, wave height prediction | ||||||||
Event Title: | WAW Machine Learning | ||||||||
Event Location: | Jena, Germany | ||||||||
Event Type: | Workshop | ||||||||
Event Start Date: | 7 November 2022 | ||||||||
Event End Date: | 9 November 2022 | ||||||||
HGF - Research field: | other | ||||||||
HGF - Program: | other | ||||||||
HGF - Program Themes: | other | ||||||||
DLR - Research area: | no assignment | ||||||||
DLR - Program: | no assignment | ||||||||
DLR - Research theme (Project): | no assignment | ||||||||
Location: | Bremerhaven | ||||||||
Institutes and Institutions: | Institute for the Protection of Maritime Infrastructures > Reslience of Maritime Systems | ||||||||
Deposited By: | Klemm, Jannik | ||||||||
Deposited On: | 10 Nov 2023 14:05 | ||||||||
Last Modified: | 24 Apr 2024 20:56 |
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