Zobrazeno 1 - 10
of 597
pro vyhledávání: '"Jorge Cabral"'
Publikováno v:
IEEE Access, Vol 12, Pp 142569-142581 (2024)
Advancements in technology are propelling Cyber-Physical Systems (CPS) into crucial roles across various sectors, implying the need for stricter CPS safety and security measures as their deployment in safety-critical scenarios increases. Physical-to-
Externí odkaz:
https://doaj.org/article/cc856a1990e5424c8c6f968f82cc2970
Autor:
Samya Jezine Da Silva, Mauro Jorge Cabral-Castro, Cássia Cristina Alves Gonçalves, Diana Mariani, Orlando Ferreira, Amílcar Tanuri, Marzia Puccioni-Sohler
Publikováno v:
Viruses, Vol 16, Iss 8, p 1247 (2024)
Neurological involvement has been widely reported in SARS-CoV-2 infection. However, viral identification in the cerebrospinal fluid (CSF) is rarely found. The aim of this study is to evaluate the accuracy of virological and immunological biomarkers i
Externí odkaz:
https://doaj.org/article/9fbebbe942fb44a08598c6848060e237
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1398 (2024)
Selecting features associated with patient-centered outcomes is of major relevance yet the importance given depends on the method. We aimed to compare stepwise selection, least absolute shrinkage and selection operator, random forest, Boruta, extreme
Externí odkaz:
https://doaj.org/article/80eaa6f581494f63bb7b2cf7879a232c
Autor:
Elena Segura-Grau, Ana Segura-Grau, Ricardo Ara..jo, Guillermo Payeras, Jorge Cabral, Vera Afreixo
Publikováno v:
Brazilian Journal of Anesthesiology, Vol 72, Iss 6, Pp 749-756 (2022)
Background: Pulmonary aspiration is one of the most important complications in anesthesiology. Assessment of gastric content by ultrasound is a good method to quantify gastric volume and to determine the risk of intraoperative pulmonary aspiration. T
Externí odkaz:
https://doaj.org/article/b107507b23274a08a6cdfb43e6e52759
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2160 (2024)
In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber–Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization
Externí odkaz:
https://doaj.org/article/064d3bd5087540189e038db6d94f76c7
Autor:
Belinda Figueredo, Lorena Fontclara, Jessica Figueredo, Jorge Cabral, Marcelo Pederzani, Federico Fretes, Ricardo Caballero, Néstor Galeano, Hugo Biando, Fernando Ferreira
Publikováno v:
Revista Paraguaya de Reumatología, Vol 8, Iss 1, Pp 27-33 (2022)
Introducción: el COVID-19 suscitó una preocupación particular para las personas con enfermedades reumáticas autoinmunes, debido a la conocida mayor susceptibilidad a las infecciones de este grupo de pacientes. Material y Métodos: es un estudi
Externí odkaz:
https://doaj.org/article/55415b415e20477696c3b0063e89a520
Publikováno v:
Heliyon, Vol 8, Iss 12, Pp e11920- (2022)
This paper proposes an open-source tool for a fast and precise calculation of the inductance of planar coils in the presence of conductive targets. This tool, based on Grover equations, is versatile to any coil and target geometries. The performance
Externí odkaz:
https://doaj.org/article/b596acc6f99548668f7048e4c90e06fe
Publikováno v:
Micro and Nano Engineering, Vol 16, Iss , Pp 100158- (2022)
MEMS resonators based on internal thermal-piezoresistive amplification are a suitable alternative for sensing applications since they enable high resonance frequencies and high Q-factors. In this work, the principle of operation of this amplification
Externí odkaz:
https://doaj.org/article/0f545a11fc254f5a884f4be3ebb85f2c
Publikováno v:
Revista de Historia de América, 1938 Mar 01(1), 84-85.
Externí odkaz:
https://www.jstor.org/stable/20529470
Publikováno v:
Computers, Vol 12, Iss 6, p 110 (2023)
As more and more devices are being deployed across networks to gather data and use them to perform intelligent tasks, it is vital to have a tool to perform real-time data analysis. Data are the backbone of Machine Learning models, the core of intelli
Externí odkaz:
https://doaj.org/article/26543cc7d98647d09245587f6f322f0a