Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Giuseppe Parla"'
Publikováno v:
Infrastructures, Vol 9, Iss 2, p 34 (2024)
Asphalt pavements are subject to regular inspection and maintenance activities over time. Many techniques have been suggested to evaluate pavement surface conditions, but most of these are either labour-intensive tasks or require costly instruments.
Externí odkaz:
https://doaj.org/article/eb03d1dc027a4af8be7e7d16602492d0
Autor:
Vincenzina Lo Re, Giovanna Russelli, Emanuele Lo Gerfo, Rossella Alduino, Matteo Bulati, Gioacchin Iannolo, Danilo Terzo, Gennaro Martucci, Stefano Anzani, Giovanna Panarello, Gianvincenzo Sparacia, Giuseppe Parla, Federica Avorio, Giuseppe Raffa, Michele Pilato, Aurelio Speciale, Valentina Agnese, Giuseppe Mamone, Fabio Tuzzolino, Giovan Battista Vizzini, Pier Giulio Conaldi, Fabrisia Ambrosio
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
ObjectiveMechanisms of neurocognitive injury as post-operative sequelae of coronary artery bypass grafting (CABG) are not understood. The systemic inflammatory response to surgical stress causes skeletal muscle impairment, and this is also worsened b
Externí odkaz:
https://doaj.org/article/dcc4491e212144ea915a78d2fb902ee2
Autor:
Laura Sparacino, Luca Faes, Gorana Mijatović, Giuseppe Parla, Vincenzina Lo Re, Roberto Miraglia, Jean de Ville de Goyet, Gianvincenzo Sparacia
Publikováno v:
Life, Vol 13, Iss 10, p 2075 (2023)
Keeping up with the shift towards personalized neuroscience essentially requires the derivation of meaningful insights from individual brain signal recordings by analyzing the descriptive indexes of physio-pathological states through statistical meth
Externí odkaz:
https://doaj.org/article/49183c743b5243b6a48a5080892e1422
Autor:
Marco Guerrieri, Giuseppe Parla
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 16, Iss , Pp 100693- (2022)
Due to its remarkable learning ability and benefits in several areas of real-life, deep learning-based applications have recovered to be a research topic of great importance in the last few years. This article presents a method devoted to guaranteein
Externí odkaz:
https://doaj.org/article/6bb92a8858bb4bc9b0752dc502f09968
Autor:
Gianvincenzo Sparacia, Giuseppe Parla, Giuseppe Mamone, Mariangela Caruso, Fabio Torregrossa, Giovanni Grasso
Publikováno v:
Brain Sciences, Vol 11, Iss 12, p 1613 (2021)
Resting-state functional magnetic resonance imaging (rest-f-MRI) is a neuroimaging technique that has demonstrated its potential in providing new insights into brain physiology. rest-f-MRI can provide useful information in pre-surgical mapping aimed
Externí odkaz:
https://doaj.org/article/3c6122a40b6f4b12b6afad49f42f95ad
Autor:
Marco Guerrieri, Giuseppe Parla
Publikováno v:
Infrastructures, Vol 6, Iss 9, p 134 (2021)
Macroscopic traffic flow variables estimation is of fundamental interest in the planning, designing and controlling of highway facilities. This article presents a novel automatic traffic data acquirement method, called MOM-DL, based on the moving obs
Externí odkaz:
https://doaj.org/article/b1aad1d6fd274a87ba3ea62eccef9770
Autor:
Gianvincenzo Sparacia, Giovanni Grasso, Giuseppe Mamone, Vincenzina Lo Re, Vincenzo Carollo, Massimo Midiri, Roberto Cannella, Giuseppe Parla
Publikováno v:
World Neurosurgery. 141:e182-e194
Purpose: High-grade glioma surgery has evolved around the principal belief that a safe maximal tumor resection improves symptoms, quality of life, and survival. Mapping brain function has been recently improved by resting-state functional magnetic re
Autor:
Marco Guerrieri, Giuseppe Parla
This research put forward an efficacious real-time deep learning-based technique to automate the process of monitoring the social distancing in transportation systems (e.g., bus stops, railway stations, airport terminals, etc.) and other public space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e9624f36949b221c8a6c585917388f7
https://sciendo.com/article/10.2478/ttj-2022-0014
https://sciendo.com/article/10.2478/ttj-2022-0014
Autor:
Marco Guerrieri, Giuseppe Parla
Artificial intelligence and deep learning-based techniques undoubtedly are the future of Advanced Driver-Assistance Systems (ADAS) technologies. In this article is presented a technique for detecting, recognizing and tracking pedestrians, vehicles an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::777e6269f211f3293245291bda390ed2
https://hdl.handle.net/11572/352620
https://hdl.handle.net/11572/352620
Autor:
Gianvincenzo Sparacia, Giuseppe Parla, Roberto Cannella, Giuseppe Mamone, Ioannis Petridis, Luigi Maruzzelli, Vincenzina Lo Re, Mona Shahriari, Alberto Iaia, Albert Comelli, Roberto Miraglia, Angelo Luca
Publikováno v:
Neuroradiology. 64(10)
Purpose Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the globi pallidi. The purpose of this study was to evaluate the performance of MRI-based radiomi