Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Gregorio Andria"'
Publikováno v:
Sensors, Vol 23, Iss 9, p 4491 (2023)
Monitoring the shoreline over time is essential to quickly identify and mitigate environmental issues such as coastal erosion. Monitoring using satellite images has two great advantages, i.e., global coverage and frequent measurement updates; but ade
Externí odkaz:
https://doaj.org/article/a4193a1605db4b79b46ba738b364f498
Autor:
Gregorio Andria, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Mattia Alessandro Ragolia
Publikováno v:
Sensors, Vol 20, Iss 4, p 961 (2020)
In this paper we present a study of the repeatability of an innovative electromagnetic tracking system (EMTS) for surgical navigation, developed to overcome the state of the art of current commercial systems, allowing for the placement of the magneti
Externí odkaz:
https://doaj.org/article/9705623a3c6b4e34a1110d7cf8d9d377
Towards Non-Invasive Methods to Assess Population Structure and Biomass in Vulnerable Sea Pen Fields
Autor:
Giovanni Chimienti, Attilio Di Nisio, Anna M.L. Lanzolla, Gregorio Andria, Angelo Tursi, Francesco Mastrototaro
Publikováno v:
Sensors, Vol 19, Iss 10, p 2255 (2019)
Colonies of the endangered red sea pen Pennatula rubra (Cnidaria: Pennatulacea) sampled by trawling in the northwestern Mediterranean Sea were analyzed. Biometric parameters, such as total length, peduncle length, number of polyp leaves, fresh weight
Externí odkaz:
https://doaj.org/article/1460aefc5f5a44408f9ba5b7bae82e9a
Autor:
Gregorio Andria, Marco Scarpetta, Maurizio Spadavecchia, Nicola Giaquinto, Mattia Alessandro Ragolia
Publikováno v:
MeMeA
This paper explores the use of a common smartphone for measuring simultaneously both heartbeat intervals and respiratory cycles. The proposed technique uses the smartphone’s accelerometer to measure the seismocardiographic signal and the accelerati
Autor:
Nicola Giaquinto, Mattia Alessandro Ragolia, Maurizio Spadavecchia, Marco Scarpetta, Gregorio Andria
Publikováno v:
I2MTC
In this paper, a method to estimate the position and the entity of capacitive faults in coaxial cables based on the time domain reflectometry (TDR) is presented. A convolutional neural network (CNN) is used to analyze the reflectometric signals obtai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4de3ae08d3f9f94cec12ba492924a7f
http://hdl.handle.net/11589/225059
http://hdl.handle.net/11589/225059
Autor:
Mattia Alessandro Ragolia, Anna Maria Lucia Lanzolla, Filippo Attivissimo, Attilio Di Nisio, Gregorio Andria
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 4
Sensors, Vol 20, Iss 4, p 961 (2020)
Sensors
Volume 20
Issue 4
Sensors, Vol 20, Iss 4, p 961 (2020)
In this paper we present a study of the repeatability of an innovative electromagnetic tracking system (EMTS) for surgical navigation, developed to overcome the state of the art of current commercial systems, allowing for the placement of the magneti
This paper explores the use of deep learning-based computer vision for real-time monitoring of the flow in intravenous (IV) infusions. IV infusions are among the most common therapies in hospitalized patients and, given that both over-infusion and un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::117e71f2337f2316e0965f3aa0dbd93c
Autor:
Gregorio Andria, Attilio Di Nisio, Maurizio Spadavecchia, Marco Mangiatini, Anna Maria Lucia Lanzolla, Filippo Attivissimo, A. Maiorana
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 66:2535-2544
The aim of this paper was to investigate the diagnostic potential of tomosynthesis imaging compared with the performance of 2-D digital mammography in terms of radiation dose and image quality. In particular, suitable dosimeter and phantom were used