Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Estimation of sea state parameters from ship motion responses using attention-based neural networks
Estimation of sea state parameters from ship motion responses using attention-based neural networks
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Selimović, Denis
,
Hržić, Franko
,
Prpić-Oršić, Jasna
,
Lerga, Jonatan
Format:
Recurso digital
Published:
Zenodo
2023
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Inflection Point-Based Trajectory Fingerprinting for Clustering and Anomaly Detection
by: Žužić, Lucija, et al.
Published: (2025)
A simple and effective approach for body part recognition on CT scans based on projection estimation
by: Hrzic, Franko, et al.
Published: (2025)
Detection of motor imagery based on short-term entropy of time-frequency representations
by: Luka Batistić, et al.
Published: (2023)
Estimation of motion blur kernel parameters using regression convolutional neural networks
by: Varela, Luis G., et al.
Published: (2023)
A neural network approach to kinetic Mie polarimetry for particle size diagnostics in nanodusty plasmas
by: Schmitz, Alexander, et al.
Published: (2025)
