Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Said Achchab"'
Publikováno v:
International Journal of Supply and Operations Management, Vol 4, Iss 2, Pp 105-114 (2017)
This paper considers the application of neural networks to demand forecasting in a simple supply chain composed of a single retailer and his supplier with a game theoretic approach. This work analyses the problem from the supplier’s point of view a
Externí odkaz:
https://doaj.org/article/af2a8c5f0b8f40f18503923124d71dcd
Autor:
Ilham Slimani, Nadia Slimani, Said Achchab, Mohammed Saber, Ilhame El Farissi, Nawal Sbiti, Mustapha Amghar
The world is changing quite rapidly while increasingly tuning into digitalization. However, it is important to note that data science is what most technology is evolving around and data is definitely the future of everything. For industries, adopting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5380bce6335c7ebe7ed7b167b969cafb
https://zenodo.org/record/6775472
https://zenodo.org/record/6775472
Publikováno v:
2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ca081ee5feead94691b5657aa5191cd
https://doi.org/10.1109/iraset52964.2022.9738371
https://doi.org/10.1109/iraset52964.2022.9738371
Publikováno v:
2022 14th International Conference on Machine Learning and Computing (ICMLC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24717a99c0ce1c4194ab102801e5e57a
https://doi.org/10.1145/3529836.3529928
https://doi.org/10.1145/3529836.3529928
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030853648
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d19122e3b4b7085c86cdecb1978601f
https://doi.org/10.1007/978-3-030-85365-5_20
https://doi.org/10.1007/978-3-030-85365-5_20
Publikováno v:
2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML).
HR technology leaders foresee AI’s growing role in a variety of areas, such as aiding recruitment, improving compliance, augmenting training, streamlining onboarding and more. New artificial intelligence technologies that automate and augment the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cb4a85e600049426cd54debac75750e
https://doi.org/10.1109/prml52754.2021.9520719
https://doi.org/10.1109/prml52754.2021.9520719
Publikováno v:
2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD).
Over the last three or four decades, there have been numerous optimization problems in Healthcare which have been approached by researchers. Hospital logistics which must be organized and structured in order to secure patient satisfaction in terms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cbfb6514f2af5da9dcea8439ea3deac
https://doi.org/10.1109/ictmod49425.2020.9380584
https://doi.org/10.1109/ictmod49425.2020.9380584
Publikováno v:
International Journal of Medical Engineering and Informatics. 14:1
Numerous optimisation problems in healthcare have been approached by researchers over the last three to four decades. Hospital logistics - organised and structured to secure patient satisfaction in...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b925ee402edca789aa1c186aa044e19
https://doi.org/10.1504/ijmei.2022.119307
https://doi.org/10.1504/ijmei.2022.119307
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 11:3319
The forecasting consists of taking historical data as inputs then using them to predict future observations, thus determining future trends. Demand prediction is a crucial component in the supply chain’s process that allows each member to enhance i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d631fdbba2f94cfe494e87f371d414d3
https://doi.org/10.11591/ijece.v11i4.pp3319-3328
https://doi.org/10.11591/ijece.v11i4.pp3319-3328
Autor:
Fatima Zahra Azayite, Said Achchab
Predicting firm’s failure is one of the most interesting subjects for investors and decision makers. In this paper, a bankruptcy prediction model is proposed based on Artificial Neural networks (ANN). Taking into consideration that the choice of va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::235dc97cf2905440b1e9e5c9e603c64d