Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Davoud Rahimi"'
Publikováno v:
Āsīb/shināsī-i Darmāngāhī-i Dāmpizishkī, Vol 17, Iss 66, Pp 91-107 (2024)
Considering the consumption of caffeine as a supplement favored by theathletes and the proof of its long-term abuse effects on male fertility, the purpose of this study was to investigate the effect of moderate aerobic training combined with the cond
Externí odkaz:
https://doaj.org/article/76426dd2dec7477fb407570a6797c75a
Publikováno v:
Āsīb/shināsī-i Darmāngāhī-i Dāmpizishkī, Vol 17, Iss 2 (66) تابستان, Pp 91-107 (2023)
Considering the consumption of caffeine as a supplement favored by theathletes and the proof of its long-term abuse effects on male fertility, the purpose of this study was to investigate the effect of moderate aerobic training combined with the cond
Externí odkaz:
https://doaj.org/article/47f3599d8c9f44608fd4e87355569e89
Publikováno v:
Religious Inquiries, Vol 11, Iss 2, Pp 233-249 (2022)
The world today accommodates many communities, consisting of diverse cultures with their distinct and similar characteristics. There are different conceptions of the nature of humans and the world, and the necessity of a comprehensive revision of var
Externí odkaz:
https://doaj.org/article/0b9b131491dc4d359a14bb9271c20c40
Autor:
Davoud Rahimi, Hassan Matin Homaee
Publikováno v:
Āsīb/shināsī-i Darmāngāhī-i Dāmpizishkī, Vol 10, Iss 4 (40) زمستان, Pp 337-348 (2017)
Creatine is one of the most common supplements for improvement of athletic performance which is used by athletes. The most important debate about creatine consumption is its adverse effect on kidneys due to increased protein load. This study was perf
Externí odkaz:
https://doaj.org/article/4bb6a49033dd40728c2bc12e8947fe22
Publikováno v:
Vuksanovic, B & Rahimi Ardali, D 2019, ' Hybrid decomposition time-series forecasting by DirRec strategy: electric load forecasting using machine-learning ', International Journal of Computer and Electrical Engineering, vol. 11, no. 1, pp. 1-10 . < http://www.ijcee.org/index.php?m=content&c=index&a=show&catid=99&id=1142 >
The rise in availability of huge amounts of historical data and the need for accurate forecasting techniques of future behavior of electricity consumption emphasize the need for efficient techniques able to reliably estimate the stochastic dependency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6202e74eb399cc59ec35a52d74075d
https://researchportal.port.ac.uk/ws/files/15082686/992_IT056.pdf
https://researchportal.port.ac.uk/ws/files/15082686/992_IT056.pdf
