Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kristijan Cincar"'
Autor:
Kristijan CINCAR, Todor IVAŞCU
Publikováno v:
Applied Medical Informatics, Vol 46, Iss Suppl. S1, Pp S35-S35 (2024)
The Colonoscopy Hospital Scheduling and Recommendation (COLHSAR) system is a sophisticated framework designed to improve the management of medical procedures and patient care in hospital settings. This paper elucidates the architecture, functionality
Externí odkaz:
https://doaj.org/article/d9f2990ccdec439fa2537c13b21ea4f3
Autor:
Amalia, Minda Andrea, Olga-Ioana, Amariei, Emeric-Remus, Szabo, Tabita, Negrea Daniela, Kristijan, Cincar, Savu, Lolea Marius
Publikováno v:
German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft; Aug2024, Issue 86, p18-25, 8p
Autor:
Amalia, Minda Andrea, Olga-Ioana, Amariei, Vasile, Ambro Mircea, Savu, Lolea Marius, Remus, Szabo Emeric, Kristijan, Cincar
Publikováno v:
Annals of 'Constantin Brancusi' University of Targu-Jiu. Engineering Series / Analele Universităţii Constantin Brâncuşi din Târgu-Jiu. Seria Inginerie; 2023, Issue 3, p19-24, 6p
Autor:
Kristijan Cincar
Publikováno v:
Analele Universităţii "Eftimie Murgu" Reşiţa: Fascicola I, Inginerie, Vol XXVI, Iss 1, Pp 45-48 (2019)
Ambient Assisted Living (AAL) systems help people to stay active and have a decent life with the help of continuous monitoring for healthcare. Sensors help us to monitor, but the activity of sensors to false positive or negative decay of these monito
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::558d12a6b768c90418521273eec7cd40
http://anale-ing.uem.ro/2019/5.pdf
http://anale-ing.uem.ro/2019/5.pdf
Autor:
Kristijan Cincar, Todor Ivascu
Publikováno v:
2021 International Conference on e-Health and Bioengineering (EHB).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f94f7d26330703f72475057f475328c
https://doi.org/10.1109/ehb52898.2021.9657694
https://doi.org/10.1109/ehb52898.2021.9657694
Autor:
Ioan Sima, Kristijan Cincar
Publikováno v:
2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f5add37822fa3f2af01e51bf5c1fc1f
https://doi.org/10.1109/bibe52308.2021.9635497
https://doi.org/10.1109/bibe52308.2021.9635497
Publikováno v:
Soft Computing Applications ISBN: 9783030521899
The Integrated Roof-Top Greenhouses (IRTG) are able to create a tight human-plant symbiosis, if provided with a two flows ventilation system, which is conveying O2 enriched air from RTG to the building and CO2 enriched air from building to RTG. Besid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2bba1fe5e5be9587bc9e902b01b4eff
https://doi.org/10.1007/978-3-030-52190-5_6
https://doi.org/10.1007/978-3-030-52190-5_6
Autor:
Kristijan Cincar, Ioan Sima
Publikováno v:
INISTA
In this paper we applied machine learning techniques for Gastrointestinal Polyps classification from colonoscopy video clips and compared our results to other methods and with the results of clinicians with different levels of experience. Machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db12b17b705b7cc3b9721ba6bb5dbe23
https://doi.org/10.1109/inista49547.2020.9194659
https://doi.org/10.1109/inista49547.2020.9194659
Autor:
Kristijan Cincar, Ioanaandra Codreanu
Publikováno v:
eLearning and Software for Education.
Artificial intelligence will change the way we live and work, using artificial intelligence will help people learn more, work smarter and evolve over time on all levels. Students in each field will need to be aware of Artificial Intelligence strategi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f2aab31af17ed67050e52f2b502575
https://doi.org/10.12753/2066-026x-20-095
https://doi.org/10.12753/2066-026x-20-095
Publikováno v:
2019 E-Health and Bioengineering Conference (EHB).
Data mining represents a technique, applied in different fields, for discovering useful information or patterns from the large datasets. In this work, we extract association rules, based on the apriori algorithm, from the data collected, either from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80a3b61c713c00b0e9874adb8a7e3c0
https://doi.org/10.1109/ehb47216.2019.8969967
https://doi.org/10.1109/ehb47216.2019.8969967