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pro vyhledávání: '"Ali Lashgari"'
Autor:
Ali Lashgari, Yaser Jafarian
Publikováno v:
International Journal of Geomechanics. 17
Autor:
Constantine A. Stamatopoulos
Publikováno v:
International Journal of Geomechanics. 17
Autor:
Mohammad Noroozi, Hamed Mohammadi, Emad Efatinasab, Ali Lashgari, Mahdiyeh Eslami, Baseem Khan
Publikováno v:
IEEE Access, Vol 10, Pp 37515-37532 (2022)
This study introduces an effective population-based optimization algorithm, namely the Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new algorithm has a simple but effective strategy for solving complex problems
Externí odkaz:
https://doaj.org/article/11a0c6e60aa24b9f97e53676edaf8c91
Akademický článek
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Akademický článek
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Autor:
Ali Lashgari, Majid Kabiri, Alireza Ramezani, Morteza Entezari, Saeed Karimi, Sajad Kakaei, Mehdi Yaseri, Homayoun Nikkhah
Publikováno v:
Journal of Ophthalmic & Vision Research, Vol 13, Iss 3, Pp 253-259 (2018)
Purpose: To determine the prognostic factors and visual and anatomic outcomes of pars plana vitrectomy (PPV) in patients with dropped nucleus following complicated phacoemulsification (PE). Methods: The records of patients with complicated PE who und
Externí odkaz:
https://doaj.org/article/5274cfdd15ce46eea7113a3cc3c7246b
Autor:
Ali Lashgari, Abdolhosein Haddad
Publikováno v:
Arabian Journal of Geosciences. 16
Autor:
Ali Lashgari, Hasan Hosseinzadeh, Mohammad Khalilzadeh, Bahar Milani, Amin Ahmadisharaf, Shima Rashidi
Publikováno v:
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 44:2782-2800
Publikováno v:
Cell Journal, Vol 20, Iss 2, Pp 290-292 (2018)
Norrie disease (ND) is a rare X-linked recessive disorder, which is characterized by congenital blindness and, in several cases, accompanied with mental retardation and deafness. ND is caused by mutations in NDP, located on the proximal short arm of
Externí odkaz:
https://doaj.org/article/56614344780c46a3bc591fc55947e872
Publikováno v:
European Journal of Business and Management Research. 7:20-27
In this paper we present a price prediction for Bitcoin prices. The methodology used is a hybrid artificial neural network model of Long Short-Term Memory and Bayesian Optimization. This is a complex model with a high prediction power, which to our k