Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Guzin Tirkes"'
Publikováno v:
INTED2023 Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::765d734c7fed9cc160a062df3a6802cb
https://doi.org/10.21125/inted.2023.2334
https://doi.org/10.21125/inted.2023.2334
Publikováno v:
Journal Européen des Systèmes Automatisés. 54:273-281
A great deal of research has been undertaken in recent years related to facility capacity expansion and production planning problems under deterministic and stochastic constraints in the literature. However, only a small portion of this work directly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c73c318088997966e77d3237f3f142a
https://doi.org/10.18280/jesa.540209
https://doi.org/10.18280/jesa.540209
Publikováno v:
European Journal of Science and Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::306221c7ddd0b6128119bb4ec78b8dae
https://doi.org/10.31590/ejosat.950201
https://doi.org/10.31590/ejosat.950201
Publikováno v:
2018 3rd International Conference on Computer Science and Engineering (UBMK).
Deep Learning (DL) is an interesting and rapidly developing field of research which has been currently utilized as a part of industry and in many disciplines to address a wide range of problems, from image classification, computer vision, video games
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18ad6de7594830eae44ca05aa32f50b3
https://doi.org/10.1109/ubmk.2018.8566575
https://doi.org/10.1109/ubmk.2018.8566575
Publikováno v:
2018 3rd International Conference on Computer Science and Engineering (UBMK).
Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fee256c6178afc494f319369b64b1f5
https://doi.org/10.1109/ubmk.2018.8566365
https://doi.org/10.1109/ubmk.2018.8566365
Publikováno v:
Tehnički vjesnik
Volume 24
Issue Supplement 2
Tehnički Vjesnik, Vol 24, Iss Supplement 2, Pp 503-509 (2017)
Volume 24
Issue Supplement 2
Tehnički Vjesnik, Vol 24, Iss Supplement 2, Pp 503-509 (2017)
U industriji proizvodnje hrane, predviđanje vremena potražnje je bitno u planiranju proizvodnje kako bi se na vrijeme zadovoljile potrebe kupaca. U literaturi se koristi nekoliko statističkih modela za planiranje potražnje u industriji hrane i pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5efe93f08ec8a99d0f091a8e95871892
https://hrcak.srce.hr/file/274460
https://hrcak.srce.hr/file/274460
Autor:
Cansu Cigdem Aydin, Guzin Tirkes
Publikováno v:
IEEE EDUCON 2010 Conference.
In the last decade, the effect of Internet usage in education has increased gradually and new technologies have improved student's learning. By using distance learning tools, the student education can be more flexible with respect to place and time c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e14cb3908b01c0bca43c673bcd66d23a
https://doi.org/10.1109/educon.2010.5492522
https://doi.org/10.1109/educon.2010.5492522
Publikováno v:
Tehnički Vjesnik, Vol 24, Iss Supplement 2, Pp 503-509 (2017)
In food production industry, forecasting the timing of demands is crucial in planning production scheduling to satisfy customer needs on time. In the literature, several statistical models have been used in demand forecasting in Food and Beverage (F&
Externí odkaz:
https://doaj.org/article/8b95e571bff44222ae48b35c230d0678