de Curtò, J.; de Zarzà, I.; Cano, Juan-Carlos; Manzoni, Pietro; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-12)
[EN] The increasing demand for efficient and safe transportation systems has led to the development of autonomous vehicles and vehicle platooning. Truck platooning, in particular, offers numerous benefits, such as reduced ...
de Zarzà, I.; de Curtò, J.; Hernández-Orallo, Enrique; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-08)
[EN] In this study, we explore the integration of cascading and ensemble techniques in Deep Learning (DL) to improve prediction accuracy on diabetes data. The primary approach involves creating multiple Neural Networks ...
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, 2023-11)
[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 Zarzà, I.; de Curtò, J.; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-06)
[EN] Imbalanced datasets pose pervasive challenges in numerous machine learning (ML) applications, notably in areas such as fraud detection, where fraudulent cases are vastly outnumbered by legitimate transactions. ...
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, J.; de Zarzà, I.; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-09)
[EN] This paper presents a comprehensive study of ultra-wideband (UWB) and multi-band orthogonal frequency-division multiplexing (MB-OFDM) technologies for lunar rover navigation and communication in challenging terrains. ...