Zobrazeno 1 - 9
of 9
pro vyhledávání: '"M. Ozan Uysal"'
Publikováno v:
International Journal of Mathematical Models and Methods in Applied Sciences. 16:162-165
In this study, an LP model was developed in order to determine the optimal working status in a B2C type e-commerce site. Prices were determined dynamically with the Q-learning algorithm, and dynamic cost values were determined with the help of dynami
Autor:
Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis
Publikováno v:
Complexity, Vol 2019 (2019)
Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand forecasting by using vario
Externí odkaz:
https://doaj.org/article/66afdde054714514af675076e791b16c
Autor:
A. Okay Akyuz, Mitat Uysal, Mehmet Ali Ekmis, Berna Atak Bulbul, Selim Akyokus, Zeynep Hilal Kilimci, M. Ozan Uysal
Publikováno v:
Complexity, Vol 2019 (2019)
WOS: 000464724700001 Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand forec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e75649c07f8d633e44a91f555eb3fbfb
https://hdl.handle.net/20.500.12511/2235
https://hdl.handle.net/20.500.12511/2235
Publikováno v:
INISTA
Uysal, Mitat (Dogus Author) -- Uysal, M. Ozan (Dogus Author) -- Conference full title: International Conference on INnovations in Intelligent SysTems and Applications (INISTA); Gdynia, Poland; 3 July 2017 thorugh 5 July 2017 Demand forecasting for re
Autor:
ROLNICK, DAVID1 drolnick@cs.mcgill.ca, DONTI, PRIYA L.2 pdonti@andrew.cmu.edu, KAACK, LYNN H.3 kaack@hertie-school.org, KOCHANSKI, KELLY4 kkochanski@alum.mit.edu, LACOSTE, ALEXANDRE5 allac@elementai.com, SANKARAN, KRIS6 ksankaran@wisc.edu, ROSS, ANDREW SLAVIN7 asross@nyu.edu, MILOJEVIC-DUPONT, NIKOLA8 milojevic@mccberlin.net, JAQUES, NATASHA9 natashajaques@google.com, WALDMAN-BROWN, ANNA10 annawb@mit.edu, LUCCIONI, ALEXANDRA SASHA11 sashavluccioni@gmail.com, MAHARAJ, TEGAN12 tegan.maharaj@mila.quebec, SHERWIN, EVAN D.13 evands@stanford.edu, MUKKAVILLI, S. KARTHIK14 karthik.mukkavilli@uci.edu, KORDING, KONRAD P.15 kording@seas.upenn.edu, GOMES, CARLA P.16 gomes@cs.cornell.edu, NG, ANDREW Y.13 ang@cs.stanford.edu, HASSABIS, DEMIS17, PLATT, JOHN C.18, CREUTZIG, FELIX8 creutzig@mcc-berlin.net
Publikováno v:
ACM Computing Surveys. Mar2023, Vol. 55 Issue 2, p1-96. 96p. 1 Color Photograph, 7 Diagrams, 1 Chart.
Autor:
Carriegos, Miguel V1 (AUTHOR) migeul.carriegos@unileon.es, Díaz, Ramón Ángel Fernández2 (AUTHOR), Trobajo, M T1 (AUTHOR), Zaballa, Diego Asterio De3 (AUTHOR)
Publikováno v:
Logic Journal of the IGPL. Dec2022, Vol. 30 Issue 6, p954-964. 11p.
Autor:
Yerragudipadu, Subbarayudu, Gurram, Vijendar Reddy, Sri Rayapudi, Navya, Bingi, Bhavana, Gollapalli, Likhitha, peddapatlolla, Ukritha
Publikováno v:
E3S Web of Conferences; 6/2/2023, Vol. 391, p1-11, 11p
Autor:
Kilimci, Zeynep Hilal, Akyuz, A. Okay, Uysal, Mitat, Akyokus, Selim, Uysal, M. Ozan, Atak Bulbul, Berna, Ekmis, Mehmet Ali
Publikováno v:
Complexity; 3/26/2019, p1-15, 15p
The book, Transformation in Healthcare with Emerging Technologies, presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Inte