Zobrazeno 1 - 10
of 3 307
pro vyhledávání: '"A, Meneghello"'
Autor:
Graziosi, Riccardo, Ronzani, Massimiliano, Buliga, Andrei, Di Francescomarino, Chiara, Folino, Francesco, Ghidini, Chiara, Meneghello, Francesca, Pontieri, Luigi
In recent years, trace generation has emerged as a significant challenge within the Process Mining community. Deep Learning (DL) models have demonstrated accuracy in reproducing the features of the selected processes. However, current DL generative m
Externí odkaz:
http://arxiv.org/abs/2411.02131
Emerging mobile virtual reality (VR) systems will require to continuously perform complex computer vision tasks on ultra-high-resolution video frames through the execution of deep neural networks (DNNs)-based algorithms. Since state-of-the-art DNNs r
Externí odkaz:
http://arxiv.org/abs/2402.10021
Autor:
Wu, Kai, Pegoraro, Jacopo, Meneghello, Francesca, Zhang, J. Andrew, Lacruz, Jesus O., Widmer, Joerg, Restuccia, Francesco, Rossi, Michele, Huang, Xiaojing, Zhang, Daqing, Caire, Giuseppe, Guo, Y. Jay
Integrated Sensing and Communication (ISAC) has been identified as a pillar usage scenario for the impending 6G era. Bi-static sensing, a major type of sensing in ISAC, is promising to expedite ISAC in the near future, as it requires minimal changes
Externí odkaz:
http://arxiv.org/abs/2402.09048
Publikováno v:
WiNTECH 2023: Proceedings of the 17th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization
Recently, researchers have shown that the beamforming feedback angles (BFAs) used for Wi-Fi multiple-input multiple-output (MIMO) operations can be effectively leveraged as a proxy of the channel frequency response (CFR) for different purposes. Examp
Externí odkaz:
http://arxiv.org/abs/2309.04408
Autor:
Meneghello, Francesca, Fabbro, Nicolò Dal, Garlisi, Domenico, Tinnirello, Ilenia, Rossi, Michele
Publikováno v:
IEEE Communications Magazine, 2023
In the last years, several machine learning-based techniques have been proposed to monitor human movements from Wi-Fi channel readings. However, the development of domain-adaptive algorithms that robustly work across different environments is still a
Externí odkaz:
http://arxiv.org/abs/2305.03170
Autor:
Branchi, Stefano, Buliga, Andrei, Di Francescomarino, Chiara, Ghidini, Chiara, Meneghello, Francesca, Ronzani, Massimiliano
Prescriptive Process Monitoring is a prominent problem in Process Mining, which consists in identifying a set of actions to be recommended with the goal of optimising a target measure of interest or Key Performance Indicator (KPI). One challenge that
Externí odkaz:
http://arxiv.org/abs/2303.09209
In this paper, we propose BeamSense, a completely novel approach to implement standard-compliant Wi-Fi sensing applications. Wi-Fi sensing enables game-changing applications in remote healthcare, home entertainment, and home surveillance, among other
Externí odkaz:
http://arxiv.org/abs/2303.09687
Autor:
Sheila Bigolin Teixeira, Stefânia Nunes Pires, Michele Renata Revers Meneguzzo, Sidnei Deuner, Maria de Fátima Zorato, Geri Eduardo Meneghello
Publikováno v:
Journal of Seed Science, Vol 46 (2024)
ABSTRACT: The quality of soybean seeds is essential for the success of the crop, with the seed coat being a vital element in protecting the embryo. The objective of this study was to understand the chemical causes and dynamics of the formation of cra
Externí odkaz:
https://doaj.org/article/48c74789e22a4cecb9baa907fac89d14
Autor:
Arnaldo Barbieri Filho, Daniel Proença Feijó, Diego Silva de Fraga, Cláudio Meneghello Martins, Carmita Helena Najjar Abdo
Publikováno v:
Debates em Psiquiatria, Vol 14 (2024)
Introdução: Na Classificação Internacional de Doenças, 11ª edição (CID-11), o Transtorno do Comportamento Sexual Compulsivo (TCSC) é classificado entre os transtornos mentais, no capítulo Transtornos do Impulso. O indivíduo apresenta um pa
Externí odkaz:
https://doaj.org/article/038d38d1c90e4886934d50310f669cd3
Autor:
Alcimar Spindola Mazon, Luis Henrique Konzen, Danielle Brandstetter Rodrigues, Geri Eduardo Meneghello, Lílian Vanussa Madruga de Tunes
Publikováno v:
Revista Ciência Agronômica, Vol 56 (2024)
ABSTRACT The physiological quality of soya bean seeds is a determining factor in establishing the crop in the field. The aim of the present study was to evaluate the physiological quality of soya bean seeds produced by plants grown from seeds of diff
Externí odkaz:
https://doaj.org/article/88c20e39eab3456fb0ad643ec372d782