Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Cristina-Maria Stancioi"'
Autor:
Cristina-Maria Stancioi, Iulia Clitan, Mihai Abrudean, Honoriu Valean, Vlad Muresan, Mihaela-Ligia Unguresan
Publikováno v:
IFAC-PapersOnLine. 55:896-901
Autor:
Cristina-Maria Stancioi, Vlad Muresan, Mihai Abrudean, Iulia Clitan, Mihaela-Ligia Unguresan, Olimpia Bunta
Publikováno v:
2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI).
Autor:
Cristina-Maria Stancioi, Vlad Muresan, Mihai Abrudean, Iulia Clitan, Mihaela-Ligia Unguresan, Tiberiu Colosi
Publikováno v:
2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).
Publikováno v:
2021 International Conference on e-Health and Bioengineering (EHB).
Autor:
Cristina-Maria Stancioi, Vlad Muresan, Mihaela-Ligia Unguresan, Abrudean Mihai, Iulia Clitan, Kovendi Zoltan, Marius Fisca
Publikováno v:
2021 16th International Conference on Engineering of Modern Electric Systems (EMES).
Lung cancer is a very common cancer, but it only becomes noticeable relatively late in the form of symptoms and complaints. To date, the possibilities of early detection are limited - the examinations tested so far are stressful and not without risk.
Autor:
Vlad Muresan, Cristina-Maria Stancioi, Abrudean Mihai, Ovidiu Stan, Iulia Clitan, Marius Misaros, Mihaela-Ligia Unguresan, Marius Fisca
Publikováno v:
2021 16th International Conference on Engineering of Modern Electric Systems (EMES).
An increased use of robots in direct interaction with humans can be observed both in the industry and in the service sector. The specific areas of application as well as forms of interaction are diverse. Nevertheless in order to enable a structured c
Publikováno v:
SACI
The main objective of this paper by using image processing algorithms, mainly Hough algorithm, to develop a system which is able to analyze, process and put in evidence all the necessary features of a CT image for diagnosing pulmonary fibrosis. To ap
Publikováno v:
CSCS
The main objective of this paper is to implement an application using the Matlab working environment, in order to process medical images and to be able to use their analysis in the faster diagnosis of pulmonary fibrosis. To approach the proposed topi
Autor:
Cristina-Maria Stăncioi, Iulia Adina Ștefan, Violeta Briciu, Vlad Mureșan, Iulia Clitan, Mihail Abrudean, Mihaela-Ligia Ungureșan, Radu Miron, Ecaterina Stativă, Michaela Nanu, Adriana Topan, Daniela Oana Toader, Ioana Nanu
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7971 (2023)
The COVID-19 infectious disease spread in the world represents, by far, one of the most significant moments in humankind’s recent history, affecting daily activities for a long period of time. The data available now allow important modelling develo
Externí odkaz:
https://doaj.org/article/8f387ff83aa142848546d12cc011af25