de Zarzà, I.; de Curtò, J.; Roig, Gemma; Manzoni, Pietro; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-06)
[EN] The increasing complexity of Multi-Agent Systems (MASs), coupled with the emergence of Artificial Intelligence (AI) and Large Language Models (LLMs), have highlighted significant gaps in our understanding of the ...
de Zarzà, I.; de Curtò, J.; Roig, Gemma; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-07)
[EN] This paper presents an exploration into the capabilities of an adaptive PID controller within the realm of truck platooning operations, situating the inquiry within the context of Cognitive Radio and AI-enhanced 5G ...
de Zarzà, I.; de Curtò, J.; Roig, Gemma; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-11)
[EN] With the rise in traffic congestion in urban centers, predicting accidents has become paramount for city planning and public safety. This work comprehensively studied the efficacy of modern deep learning (DL) methods ...
de Curtò, J.; de Zarzà, Irene; Roig, Gemma; Cano, Juan-Carlos; Manzoni, Pietro; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-07)
[EN] In this paper, we introduce an innovative approach to handling the multi-armed bandit (MAB) problem in non-stationary environments, harnessing the predictive power of large language models (LLMs). With the realization ...
de Curtò, J.; de Zarzà, I.; Roig, Gemma; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-05-11)
[EN] In this paper, we address the research gap in efficiently assessing Generative Adversarial Network (GAN) convergence and goodness of fit by introducing the application of the Signature Transform to measure similarity ...
de Curtò-I Díaz, Joaquim; de Zarzà-I Cubero, Irene; Roig, Gemma; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-04)
[EN] This manuscript presents a new benchmark for assessing the quality of visual summaries without the need for human annotators. It is based on the Signature Transform, specifically focusing on the RMSE and the MAE ...