Zobrazeno 1 - 10
of 821
pro vyhledávání: '"Zahir, M"'
Autor:
Kundi, Harun, Amin, Zahir M., Friedman, Michael, Hagan, Kobina, Al-Kindi, Sadeer, Javed, Zulqarnain, Nasir, Khurram
Publikováno v:
In JACC: Advances August 2024 3(8)
Autor:
Abdal-Kareem, Zahir M., author
Publikováno v:
Anthropology of Law in Muslim Sudan: Land, Courts and the Plurality of Practices. 7:145-170
Autor:
Huda Saleem, Zahir M. Hussain
Publikováno v:
Journal of Kufa for Mathematics and Computer, Vol 10, Iss 1 (2023)
Signal frequency estimation is a fundamental problem in signal processing. Deep learning is a fundamental method to solve this problem. This paper used five deep learning methods and three datasets including different singles Single Tone (ST), Linear
Externí odkaz:
https://doaj.org/article/fa2fc1d7edf64f83ae6e53160c088ded
Autor:
Rabee, Furkan1 (AUTHOR) furqan.rabee@uokufa.edu.iq, Hussain, Zahir M.1,2 (AUTHOR) zmhussain@ieee.org
Publikováno v:
Information (2078-2489). May2023, Vol. 14 Issue 5, p276. 23p.
Autor:
Furkan Rabee, Zahir M. Hussain
Publikováno v:
Information, Vol 14, Iss 5, p 276 (2023)
Optimization using genetic algorithms (GA) is a well-known strategy in several scientific disciplines. The crossover is an essential operator of the genetic algorithm. It has been an active area of research to develop sustainable forms for this opera
Externí odkaz:
https://doaj.org/article/bcb4eb05d00e4e63ab94f52906afa303
Akademický článek
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Publikováno v:
Journal of Engineering, Vol 2022 (2022)
This study shows the torsional conduct of aggregate streaming beams of reinforced concrete recycling. Pure torsion was perceived for 15 reinforced concrete beams containing recycled concrete aggregates. The beams were grouped into five lengths and cr
Externí odkaz:
https://doaj.org/article/d3a2261da6244eb888d12f3200cda7c7
Autor:
Razzaq, Huda Saleem1 (AUTHOR), Hussain, Zahir M.1,2 (AUTHOR) z.hussain@ecu.edu.au
Publikováno v:
Information (2078-2489). Jan2023, Vol. 14 Issue 1, p18. 43p.
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 2-15 (2019)
Image similarity or distortion assessment is fundamental to a wide range of applications throughout the field of image processing and computer vision. Many image similarity measures have been proposed to treat specific types of image distortions. Mos
Externí odkaz:
https://doaj.org/article/e1334e70cd6e4cae8a301ad9ee2284b6