Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ivana Dimitrovska"'
Autor:
Monika Kostoska, Lea Taneska, Elena Markova, Maja Simonoska Crcarevska, Ivana Dimitrovska, Vasil Makrievski, Tanja Olumceva, Jovica Todorov, Dushko Shalabalija, Marija Glavas Dodov, Marija Petrushevska, Riste Popeski Dimovski, Ljubica Mihailova
Publikováno v:
Cellulose. 27:7109-7126
This study describes development of a dosage form for acne treatment. A topical semi-solid dosage form—gel with clindamycin-hydrochloride (CM-HCl) loaded ethyl cellulose based microsponges (MSP). Central composite experimental design was used for o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d1ad102e95f8ae08cc5273fa9c349b2
https://doi.org/10.1007/s10570-020-03283-7
https://doi.org/10.1007/s10570-020-03283-7
Autor:
Maja, Berlic, Urška, Jug, Tadej, Battelino, Alenka, Levart, Ivana, Dimitrovska, Alen, Albreht, Mojca, Korošec
Publikováno v:
Food Chemistry. 404:134566
Little is known about Total Antioxidant Capacity (TAC) of daily kindergarten menus. The objective of the present study was to determine whether, antioxidant-enriched kindergarten menu had, compared to a standard one, more optimal proximate compositio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0e9d69db41f45a123a10f5f5614a227
https://doi.org/10.1016/j.foodchem.2022.134566
https://doi.org/10.1016/j.foodchem.2022.134566
Publikováno v:
International Journal of Business Innovation and Research. 24:555
This study aims to provide guidelines that can help organisation identify preconditions before they can employ machine learning, as well as provide evidence that machine learning can be used to improve business process outcomes. It considers supervis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2c90f45b09c6f1cebcd60ea42cf5de5
https://doi.org/10.1504/ijbir.2021.114047
https://doi.org/10.1504/ijbir.2021.114047
Autor:
Toni Malinovski, Ivana Dimitrovska
Publikováno v:
Computer Engineering and Applications Journal, Vol 6, Iss 2 (2017)
Machine learning enables computers to learn from large amounts of data without specific programming. Besides its commercial application, companies are starting to recognize machine learning importance and possibilities in order to transform their dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a76443c0f1475b8acda9230a887f4917
http://comengapp-dev.ejurnal-unsri.com/index.php/comengapp/article/view/205
http://comengapp-dev.ejurnal-unsri.com/index.php/comengapp/article/view/205