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Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks

Autor: Selimović, Denis, Hržić, Franko, Prpić-Oršić, Jasna, Lerga, Jonatan

On-site estimation of sea state parameters is crucial for ship navigation systems' accuracy, stability, and efficiency. Extensive research has been conducted on model-based estimating methods utilizing only ship motion responses. Model-free approache

Externí odkaz: http://arxiv.org/abs/2301.08949

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Akademický článek

Actividad política y diplomática de las Cortes de Navarra y los Estados de Bearne: los años iniciales del reinado de Catalina I y el inicio de la 'guerra jurídica' con el rey de Francia

Autor: Álvaro Adot Lerga

Publikováno v: Edad Media, Iss 25 (2024)

Las asambleas representativas de Navarra y Bearne desarrollaron un activo papel político y diplomático entre el último tercio del siglo XV y comienzos del XVI. Su importante tarea de asesoramiento a los reyes de Navarra en importantes temas de ín

Externí odkaz: https://doaj.org/article/ef380769d1904068893338ff84bfd3ad

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ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data

Autor: Skoki, Arian, Lerga, Jonatan, Štajduhar, Ivan

Publikováno v: Proceedings of the 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)

Defensive Pass Interference (DPI) is one of the most impactful penalties in the NFL. DPI is a spot foul, yielding an automatic first down to the team in possession. With such an influence on the game, referees have no room for a mistake. It is also a

Externí odkaz: http://arxiv.org/abs/2206.13222

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Akademický článek

A Virtual Reality Direct-Manipulation Tool for Posing and Animation of Digital Human Bodies: An Evaluation of Creativity Support

Autor: Youssef Benbelkheir, Alvaro Lerga, Oscar Ardaiz

Publikováno v: Multimodal Technologies and Interaction, Vol 8, Iss 7, p 60 (2024)

Creating body poses and animations is a critical task for digital content creators, movement artists, and sports professionals. Traditional desktop-based tools for generating 3D poses and animations often lack intuitiveness and are challenging to mas

Externí odkaz: https://doaj.org/article/7de1d036c29648a09794c5f6458a17a1

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RANSAC-Based Signal Denoising Using Compressive Sensing

Autor: Stankovic, Ljubisa, Brajovic, Milos, Stankovic, Isidora, Lerga, Jonatan, Dakovic, Milos

In this paper, we present an approach to the reconstruction of signals exhibiting sparsity in a transformation domain, having some heavily disturbed samples. This sparsity-driven signal recovery exploits a carefully suited random sampling consensus (

Externí odkaz: http://arxiv.org/abs/2003.12289

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Akademický článek

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Akademický článek

Detection of motor imagery based on short-term entropy of time–frequency representations

Autor: Luka Batistić, Jonatan Lerga, Isidora Stanković

Publikováno v: BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-23 (2023)

Abstract Background Motor imagery is a cognitive process of imagining a performance of a motor task without employing the actual movement of muscles. It is often used in rehabilitation and utilized in assistive technologies to control a brain–compu

Externí odkaz: https://doaj.org/article/639cfc7eebf64691a1170bbb1ad9ce69

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