Zobrazeno 1 - 10
of 6 813
pro vyhledávání: '"RODRÍGUEZ, CARLOS A."'
Autor:
Collados-Rodriguez, Carlos, Spier, Daniel Westerman, Cheah-Mane, Marc, Prieto-Araujo, Eduardo, Gomis-Bellmunt, Oriol
In this paper, frequency dynamics in modern power systems with a high penetration of converter-based generation is analysed. A fundamental analysis of the frequency dynamics is performed to identify the limitations and challenges when the converter p
Externí odkaz:
http://arxiv.org/abs/2411.08161
Various linearizations have been proposed to cast syntactic dependency parsing as sequence labeling. However, these approaches do not support more complex graph-based representations, such as semantic dependencies or enhanced universal dependencies,
Externí odkaz:
http://arxiv.org/abs/2410.17972
Autor:
Mateu-Barriendos, Elia, Alican, Onur, Renedo, Javier, Collados-Rodriguez, Carlos, Martin, Macarena, Nuño, Edgar, Prieto-Araujo, Eduardo, Gomis-Bellmunt, Oriol
Inter-area oscillations have been extensively studied in conventional power systems dominated by synchronous machines, as well as methods to mitigate them. Several publications have addressed Power Oscillation Damping (POD) controllers in grid-follow
Externí odkaz:
http://arxiv.org/abs/2409.10726
This paper presents a comprehensive review of stochastic processes, with a particular focus on Markov chains and jump processes. The main results related to queuing systems are analyzed. Additionally, conditions that ensure the stability, or ergodici
Externí odkaz:
http://arxiv.org/abs/2409.10735
Autor:
Martinez-Rodriguez, Carlos
This document presents a compilation of results related to the theory of stochastic processes, with a specific focus on Markov processes, regenerative processes, renewal processes, and stationary processes. The relevance of these topics lies in the a
Externí odkaz:
http://arxiv.org/abs/2408.01012
Autor:
Zamaraeva, Olga, Allegue, Lorena S., Gómez-Rodríguez, Carlos, Ogneva, Anastasiia, Alonso-Ramos, Margarita
Automatic grammar coaching serves an important purpose of advising on standard grammar varieties while not imposing social pressures or reinforcing established social roles. Such systems already exist but most of them are for English and few of them
Externí odkaz:
http://arxiv.org/abs/2406.18340
Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be accessible to entities with modest computational resources, it needs to b
Externí odkaz:
http://arxiv.org/abs/2406.16071
Publikováno v:
XX Conferencia de la Asociaci\'on Espa\~nola para la Inteligencia Artificial (CAEPIA 2024), pages 225-226. ISBN 978-84-09-62724-0
This is a summary of the paper "A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing", which was published in Findings of EMNLP 2023. We evaluate a range of recent state-of-the-art, instruction-tuned large language models (
Externí odkaz:
http://arxiv.org/abs/2406.15891
Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), addressing subjective assessments in textual content. Syntactic parsing is useful in SA because explicit syntactic information can improve accuracy while providing expl
Externí odkaz:
http://arxiv.org/abs/2406.15163
In this study, we investigate a novel "dimerized" dielectric metasurface featuring dual-mode resonances governed by symmetry-protected bound states in the continuum (BICs). The metasurface design offers advantages such as insensitivity to incident li
Externí odkaz:
http://arxiv.org/abs/2406.13472