Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Ibrahim IA"'
Publikováno v:
Infection and Drug Resistance, Vol 2014, Iss default, Pp 317-322 (2014)
Israa AJ Ibrahim, Rana M Al-Shwaikh, Mahmoud I IsmaeilDepartment of Biology, College of Education for Pure Science, Ibn Al-Haitham, University of Baghdad, Baghdad, IraqObjective: To investigate the virulence factors including hemolysin production, β
Externí odkaz:
https://doaj.org/article/86e2d1cbcc494ef99388a1d5ef316503
Autor:
Alzahrani AR, Mohamed DI, Abo Nahas HH, Alaa El-Din Aly El-Waseef D, Altamimi AS, Youssef IH, Ibrahim IAA, Mohamed SM, Sabry YG, Falemban AH, Elhawary NA, Bamagous GA, Jaremko M, Saied EM
Publikováno v:
Drug Design, Development and Therapy, Vol Volume 18, Pp 3959-3986 (2024)
Abdullah R Alzahrani,1 Doaa I Mohamed,2 Hebatallah H Abo Nahas,3 Dalia Alaa El-Din Aly El-Waseef,4 Abdulmalik S Altamimi,5 Ibrahim H Youssef,6 Ibrahim Abdel Aziz Ibrahim,1 Soha MY Mohamed,7 Yasmine Gamal Sabry,7 Alaa H Falemban,1 Nasser Attia Elhawar
Externí odkaz:
https://doaj.org/article/a852fdc836c74598a206f004550082bc
Autor:
Ibrahim, IA, Hossain, MJ
Unbalanced three-phase low-voltage distribution networks (LVDNs) modeling, optimization, and control are essential for enabling high photovoltaic (PV) penetration levels. Accordingly, a new case study is developed to show the gaps and challenges at d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::9cba4b9b48cfaf96513824908c3a60ba
https://hdl.handle.net/10453/164473
https://hdl.handle.net/10453/164473
The identification of unknown parameters of photovoltaic modules is the keystone to model their performance accurately. This paper introduces a novel hybrid wind driven-based fruit fly optimization algorithm to determine a double-diode photovoltaic c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::b99a2b9a281081096b923c2f0fd30929
https://hdl.handle.net/10453/167411
https://hdl.handle.net/10453/167411
A new multi-objective wind driven optimization algorithm is proposed to size a standalone photovoltaic system's components to meet the load demand for a mobile network base station at a 1% loss of load probability or less with a minimum annual total
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::5f6899fcff9417008e28fd41c34b0fd0
https://hdl.handle.net/10453/154859
https://hdl.handle.net/10453/154859
Autor:
Ibrahim, IA, Hossain, MJ
The rapid increase of distributed energy resources (DERs) installation at residential and commercial levels can pose significant technical issues on the voltage levels and capacity of the network assets in distribution networks. Most of these issues
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::7856c55ec4752c1a911465f6a5d26b97
https://hdl.handle.net/10453/156936
https://hdl.handle.net/10453/156936
Autor:
Ibrahim IAA, Alzahrani AR, Alanazi IM, Shahzad N, Shahid I, Falemban AH, Nur Azlina MF, Arulselvan P
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 1109-1124 (2024)
Ibrahim Abdel Aziz Ibrahim,1 Abdullah R Alzahrani,1 Ibrahim M Alanazi,1 Naiyer Shahzad,1 Imran Shahid,1 Alaa Hisham Falemban,1 Mohd Fahami Nur Azlina,2 Palanisamy Arulselvan3 1Department of Pharmacology and Toxicology, Faculty of Medicine, Umm Al-Qur
Externí odkaz:
https://doaj.org/article/e69d15731f7c4797af329e4371bf9548
Autor:
Ibrahim, IA, Hossain, MJ
The accurate prediction of the distribution load demand data is the corner stone of future planning of the power system networks and energy management strategies and policies. This paper presents a long short-term memory (LSTM) neural networks model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::8ff07c4c0ae222bfcadb20ac7d7c9667
https://hdl.handle.net/10453/149429
https://hdl.handle.net/10453/149429
© 2020 Elsevier Ltd The double-diode photovoltaic cell model is insufficient to accurately characterize the different current components of a photovoltaic cell. Therefore, the triple-diode model of a photovoltaic cell is considered to model its comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::1d273407c7f71fbee1949c970f9b0c51
https://hdl.handle.net/10453/140726
https://hdl.handle.net/10453/140726
© 2010-2012 IEEE. This paper presents a new methodology to extract the unknown parameters of a single-diode photovoltaic (PV) cell model. The first contribution of this paper is the development and implementation of a new version of the wind-driven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::ccb243ef6a0d839827e61f46d844eb91
https://hdl.handle.net/10453/140729
https://hdl.handle.net/10453/140729