Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ilham Slimani"'
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
Publikováno v:
Digital Technologies and Applications ISBN: 9783031298561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd39f19386cc120cc43df82d527c604
https://doi.org/10.1007/978-3-031-29857-8_10
https://doi.org/10.1007/978-3-031-29857-8_10
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:
International Journal of Traffic and Transportation Management. :17-24
Traffic forecasting is a research topic debated by several researchers affiliated to a range of disciplines. It is becoming increasingly important given the growth of motorized vehicles on the one hand, and the scarcity of lands for new transportatio
Publikováno v:
EUSPN/ICTH
Traffic forecasting is a research topic debated by several researchers affiliated to a range of disciplines. It is becoming increasingly important given the growth of motorized vehicles on the one hand, and the scarcity of lands for new transportatio
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813368927
E-commerce and many other online sites have increased the online payment modes, increasing the risk for online frauds. Many errors are lost due to fraudulent card transactions each year. The development of performance fraud detection methods is oblig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::209b84f7607b90a67a9ff7e088f03c31
https://doi.org/10.1007/978-981-33-6893-4_20
https://doi.org/10.1007/978-981-33-6893-4_20
Publikováno v:
2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA).
Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware [1]. This unmanaged, unrated, and unknown data is prevalent in most companies. Thi
Publikováno v:
ANT/EDI40
Due to industrialization and the growth of transportation systems, the number of vehicles continues to increase which causes a significant traffic jam problem especially in big cities. Consequently, the prediction of traffic flows is a key component
Autor:
Mohamed Emharraf, Saida Belouali, Mohammed Saber, Ilhame El Farissi, Sara Chadli, Mohammed Ghaouth Belkasmi, Ilham Slimani, Zineb Bougroun
Publikováno v:
Advances in Smart Technologies Applications and Case Studies ISBN: 9783030531867
In a comparative analysis, this paper investigates the performance of two open source intrusion detection systems (IDSs) namely SNORT and SURICATA for accurately detecting the malicious traffic on computer networks, an evaluation approach, based on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa7374adb7dcb71b315d7542463595c
https://doi.org/10.1007/978-3-030-53187-4_23
https://doi.org/10.1007/978-3-030-53187-4_23
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