Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

DIAGNOSIS OF TRAINING IN SUSTAINABLE DEVELOPMENT GOALS IN THE HIGHER TECHNICAL SCHOOL OF INDUSTRIAL ENGINEERING (ETSII)

Autor: Mónica Martínez-Gómez, Sergio Gallardo, Jose Felipe Villanueva, María Sancho, Cristina Lull, Ana Esteso, Ana Vallés-Lluch, Andrés Lapuebla-Ferri, María Del Mar Eva Alemany, Angel Ortíz

Publikováno v: INTED2023 Proceedings.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::333c04ba8f02576cf26fb053ef0d63ea
https://doi.org/10.21125/inted.2023.1293

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Evaluation of the application of Slovenia to be recognised as having a negligible risk of classical scrapie

Autor: European Food Safety Authority (EFSA), Giulio Di Piazza, Giuseppe Ru, Marion Simmons, Barbara Lanfranchi, Angel Ortiz‐Peláez

Publikováno v: EFSA Journal, Vol 22, Iss 10, Pp n/a-n/a (2024)

Abstract Slovenia submitted a request to the European Commission to be recognised as a Member State with negligible risk of classical scrapie. EFSA has been asked to assess if Slovenia has demonstrated that, between 2016 and 2022, a sufficient number

Externí odkaz: https://doaj.org/article/26cfbd47d2ae4c2d8a2e2dbecc6d5ef6

A novel integration of IF-DEMATEL and TOPSIS for the classifier selection problem in assistive technology adoption for people with dementia

Autor: Miguel Angel Ortíz-Barrios, Matias Garcia-Constantino, Chris Nugent, Isaac Alfaro-Sarmiento

Publikováno v: REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1133
International Journal of Environmental Research and Public Health, Vol 19, Iss 1133, p 1133 (2022)
International Journal of Environmental Research and Public Health

The classifier selection problem in Assistive Technology Adoption refers to selecting the classification algorithms that have the best performance in predicting the adoption of technology, and is often addressed through measuring different single per

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a87962365af7bfaa3a76cb6349763e4
https://repositorio.cuc.edu.co/