Zobrazeno 1 - 10
of 2 354
pro vyhledávání: '"Goldani HAS"'
Autor:
Goldani, Mahdi
This study focuses on predicting the Human Development Index (HDI) trends for GCC countries Saudi Arabia, Qatar, Kuwait, Bahrain, United Arab Emirates, and Omanusing machine learning techniques, specifically the XGBoost algorithm. HDI is a composite
Externí odkaz:
http://arxiv.org/abs/2411.01177
Autor:
Goldani, Mahdi
Political stability is crucial for the socioeconomic development of nations, particularly in geopolitically sensitive regions such as the Gulf Cooperation Council Countries, Saudi Arabia, UAE, Kuwait, Qatar, Oman, and Bahrain. This study focuses on p
Externí odkaz:
http://arxiv.org/abs/2410.21516
Autor:
Goldani, Mahdi
The GCC region includes Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, and Oman, which are of critical geopolitical and economic importance, being rich in oil and positioned along vital maritime routes. However, the region faces complex security challeng
Externí odkaz:
http://arxiv.org/abs/2410.21511
Autor:
Goldani, Mahdi, Tirvan, Soraya Asadi
The Gulf Cooperation Council countries -- Oman, Bahrain, Kuwait, UAE, Qatar, and Saudi Arabia -- holds strategic significance due to its large oil reserves. However, these nations face considerable challenges in shifting from oil-dependent economies
Externí odkaz:
http://arxiv.org/abs/2410.21505
The cattle industry has been a major contributor to the economy of many countries, including the US and Canada. The integration of Artificial Intelligence (AI) has revolutionized this sector, mirroring its transformative impact across all industries
Externí odkaz:
http://arxiv.org/abs/2408.06336
Autor:
Goldani, Mahdi, Tirvan, Soraya Asadi
In predictive modeling, overfitting poses a significant risk, particularly when the feature count surpasses the number of observations, a common scenario in high-dimensional data sets. To mitigate this risk, feature selection is employed to enhance m
Externí odkaz:
http://arxiv.org/abs/2406.04390
Autor:
Goldani, Mahdi
This study explores various feature selection techniques applied to macro-economic forecasting, using Iran's World Bank Development Indicators. Employing a comprehensive evaluation framework that includes Root Mean Square Error (RMSE) and Mean Absolu
Externí odkaz:
http://arxiv.org/abs/2406.03742
Autor:
Moayedi, Behzad, Keramatfar, Abdalsamad, Goldani, Mohammad Hadi, Fallahi, Mohammad Javad, Jahangirisisakht, Alborz, Saboori, Mohammad, badiei, Leyla
The rapid spread of COVID-19 and the emergence of new variants underscore the importance of effective screening measures. Rapid diagnosis and subsequent quarantine of infected individuals can prevent further spread of the virus in society. While PCR
Externí odkaz:
http://arxiv.org/abs/2311.01854
Publikováno v:
Journal of Research & Health, Vol 14, Iss 6, Pp 537-546 (2024)
Background: Ability to analyze information and make effective decisions in life develops through learning. Considering the role of mothers in teaching learning principles to their children, the present study was conducted to determine the impact of s
Externí odkaz:
https://doaj.org/article/83494cd835534211ae6508b12b294651
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Women’s quality of life and self-efficacy play pivotal roles in task accomplishment and overall health improvement within families and society. This study determination the intricate relationship between quality of life and self
Externí odkaz:
https://doaj.org/article/098c2f572fce4e3184f6fb6b885eebe5