Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Jalaee, Sayyed Abdolmajid"'
This study aims at predicting the impact of e-commerce indicators on international trade of the selected OECD countries and Iran, by using the artificial intelligence approach and P-VAR. According to the nature of export, import, GDP, and ICT functio
Externí odkaz:
http://arxiv.org/abs/2403.20310
Artificial Neural Networks (ANN) which are a branch of artificial intelligence, have shown their high value in lots of applications and are used as a suitable forecasting method. Therefore, this study aims at forecasting imports in OECD member select
Externí odkaz:
http://arxiv.org/abs/2402.01648
The present study aimed to forecast the exports of a select group of Organization for Economic Co-operation and Development (OECD) countries and Iran using the neural networks. The data concerning the exports of the above countries from 1970 to 2019
Externí odkaz:
http://arxiv.org/abs/2312.15535
Publikováno v:
In Heliyon August 2019 5(8)
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Mathematical Problems in Engineering. 9/2/2019, p1-8. 8p.
Autor:
Jalaee, Mahdis sadat, Shakibaei, Alireza, GhasemiNejad, Amin, Jalaee, Sayyed Abdolmajid, Derakhshani, Reza, Hydrogeology, Environmental hydrogeology
Publikováno v:
Sustainability, Vol 13, Iss 7612, p 7612 (2021)
Sustainability
Volume 13
Issue 14
Sustainability, 13(14), 1. MDPI
Sustainability
Volume 13
Issue 14
Sustainability, 13(14), 1. MDPI
Coal as a fossil and non-renewable fuel is one of the most valuable energy minerals in the world with the largest volume reserves. Artificial neural networks (ANN), despite being one of the highest breakthroughs in the field of computational intellig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a51ea62678956ee4f941fcd77086659
https://dspace.library.uu.nl/handle/1874/412535
https://dspace.library.uu.nl/handle/1874/412535
Autor:
SEYEDMASHHADI, Pardis Alsadat1 pardis_seyedmashhadi@yahoo.com, JALAEE, Sayyed Abdolmajid2 jalaee44@gmail.com, NEJATI, Mehdi3 mehdi.nejati@gmail.com, ZAYANDERODI, Mohsen4 m_roody2000@yahoo.com
Publikováno v:
International Journal of Contemporary Economics & Administrative Sciences. Jul-Dec2018, Vol. 8 Issue 2, p21-36. 16p.
Autor:
Jalaee, Sayyed Abdolmajid, Shakibaei, Alireza, Akbarifard, Hossein, Horry, Hamid Reza, GhasemiNejad, Amin, Nazari Robati, Fateme, Amani zarin, Naeeme, Derakhshani, Reza, Hydrogeology, Environmental hydrogeology
Publikováno v:
MethodsX, Vol 8, Iss, Pp 101310-(2021)
MethodsX, 8, 1. Elsevier bedrijfsinformatie b.v.
MethodsX
MethodsX, 8, 1. Elsevier bedrijfsinformatie b.v.
MethodsX
This paper deals with the global energy consumption to forecast future projections based on primary energy, global oil, coal and natural gas consumption using a hybrid Cuckoo optimization algorithm and information of British Petroleum Company plc and
Autor:
koochakzadeh, Somayeh1 skoochakzadeh@gmail.com, Jalaee, Sayyed Abdolmajid2
Publikováno v:
International Journal of Management, Accounting & Economics. Mar2015, Vol. 2 Issue 3, p179-188. 10p.