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 Cubero, Irene(Universitat Politècnica de València, 2024-01-23)
[ES] La proliferación de sistemas autónomos y su creciente integración en la vida humana cotidiana han abierto nuevas fronteras de investigación y desarrollo. Dentro de este ámbito, la presente tesis se adentra en las ...
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.; Tavares De Araujo Cesariny Calafate, Carlos Miguel(Elsevier, 2022-11)
[EN] This paper sets forth a methodology that is based on three-stage-training of a state-of-the-art network architecture previously trained on Imagenet, and iteratively finetuned in three steps; freezing first all layers, ...
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.; Yan, Hong; Tavares De Araujo Cesariny Calafate, Carlos Miguel(Elsevier B.V., 2022-08)
[EN] The library explores the applicability of the Hadamard as an input modulator for problems of classification. It introduces a framework in C++ to use kernel approximates in the mini-batch setting with Stochastic Gradient ...
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.; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-02)
[EN] Unmanned Aerial Vehicles (UAVs) are able to provide instantaneous visual cues and a high-level data throughput that could be further leveraged to address complex tasks, such as semantically rich scene understanding. ...
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 ...
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. ...