Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hanifa Teimourian"'
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29377- (2024)
In recent times, machine learning algorithms have gained significant traction in addressing aerodynamic challenges. These algorithms prove invaluable for predicting the aerodynamic performance, specifically the Lift-to-Drag ratio of airfoil datasets,
Externí odkaz:
https://doaj.org/article/df6c5136ad384ce2aa25f35102e560cf
Autor:
Amir Teimourian, Hanifa Teimourian
Publikováno v:
Eng, Vol 2, Iss 3, Pp 325-339 (2021)
Vortex shedding phenomenon behind bluff bodies and its destructive unsteady wake can be controlled by employing active and passive flow control methods. In this quest, researchers employed experimental fluid dynamics (EFD), computational fluid dynami
Externí odkaz:
https://doaj.org/article/8d7c00d67cfa471dbd4f238173e58b38
Publikováno v:
Energies, Vol 15, Iss 15, p 5684 (2022)
Wind power generation highly depends on the determination of wind power potential, which drives the design and feasibility of the wind energy production investment. This gives an important role to wind power estimation, which creates the need for an
Externí odkaz:
https://doaj.org/article/1751c895933f4faf90dacd98fdb8296c
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::856c7bcf5be542bd8c8f55b584f8ff41
https://doi.org/10.1080/0952813x.2022.2080277
https://doi.org/10.1080/0952813x.2022.2080277
Publikováno v:
The Lens
In contemporary times, renewable energy reliability has been an important field of research that is combined with the Internet of Things (IoT) including the opportunities for improving and challenging the work. Wind energy harvesting in IoT (WHIoT)-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66ea4d0919aded793e0ede1648734eda
https://doi.org/10.1007/s11227-021-04085-9
https://doi.org/10.1007/s11227-021-04085-9
Autor:
Hanifa Teimourian, Amir Teimourian
Publikováno v:
Eng, Vol 2, Iss 21, Pp 325-339 (2021)
Vortex shedding phenomenon behind bluff bodies and its destructive unsteady wake can be controlled by employing active and passive flow control methods. In this quest, researchers employed experimental fluid dynamics (EFD), computational fluid dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c60f77e44ec2a3d22cd4ca30e68d7ed8
https://doi.org/10.3390/eng2030021
https://doi.org/10.3390/eng2030021
Autor:
Emmanuel Adewale Adedokun, Hamit Altiparmak, Fadi Al-Turjman, Habeeb Bello-Salau, Sarfraz Nawaz Brohi, Bakkiam David Deebak, Kamil Dimililer, Krishna Doddapaneni, Eustace M. Dogo, Enver Ever, Syed Ali Hassan, Galip Savas Ilgi, Muhammad Asim Jan, Noor Zaman Jhanjhi, Haejoon Jung, Navid Ali Khan, Yoney Kirsal Ever, Yoney Kirsal-Ever, Ali Danandeh Mehr, Anand Nayyar, Ezekiel T. Ogidan, Oluwaseun Priscilla Olawale, Bashir Olaniyi Sadiq, Abdulazeez Femi Salami, Hanifa Teimourian, Rifat Tur, Levent Uzunsakal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf0a6994fd1906c2279ba97f68ca7f43
https://doi.org/10.1016/b978-0-12-819972-5.00016-1
https://doi.org/10.1016/b978-0-12-819972-5.00016-1
Recent developments in many industries (automotive, medical, manufacturing, space, etc.), make the need of replacing robots instead of human beings in dangerous or onerous situations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d84dd4ec4f6fbb9ff3201af231be6a23
https://doi.org/10.1016/b978-0-12-819972-5.00010-0
https://doi.org/10.1016/b978-0-12-819972-5.00010-0
Autor:
Hanifa Teimourian, Kamil Dimililer
Publikováno v:
Dilemas contemporáneos: Educación, Política y Valores.
El artículo aborda la inteligencia artificial y el aprendizaje automático, aplicándose dos algoritmos de aprendizaje automático de referencia: el árbol de decisión y la red neuronal de propagación hacia atrás implementada en el 30% del conjun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115bad4c054eb48567fcead904bdd51b
https://doi.org/10.46377/dilemas.v30i1.1260
https://doi.org/10.46377/dilemas.v30i1.1260
Autor:
David Bonfield, Hanifa Teimourian, Steve Rawlings, Matt J. Jarvis, Chris Simpson, Daniel J. Smith
Publikováno v:
Monthly Notices of the Royal Astronomical Society: Letters. 398:L83-L87
In this letter we report the discovery of a z=4.88 radio galaxy discovered with a new technique which does not rely on pre-selection of a sample based on radio properties such as steep-spectral index or small angular size. This radio galaxy was disco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fe7bd0620f9bd6b669acd397e008ae2
https://doi.org/10.1111/j.1745-3933.2009.00715.x
https://doi.org/10.1111/j.1745-3933.2009.00715.x