Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hameed M. Abduljabbar"'
Autor:
Noor S. Ahmed, Hameed M. Abduljabbar
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 36, Iss 1, Pp 158-169 (2023)
In this study, the Earth's surface was studied in Razzaza Lake for 25 years, using remote sensing methods. Images of the satellites Landsat 5 (TM) and 8 (OLI) were used to study and determine the components of the land cover. The study covered the ye
Externí odkaz:
https://doaj.org/article/246ae01c250943fe88531d3635eadf27
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 36, Iss 1, Pp 113-122 (2023)
In this research, a group of gray texture images of the Brodatz database was studied by building the features database of the images using the gray level co-occurrence matrix (GLCM), where the distance between the pixels was one unit and for four ang
Externí odkaz:
https://doaj.org/article/a91c0cf6a95c44119697ee082eaf0da0
Publikováno v:
Results in Physics, Vol 11, Iss , Pp 406-409 (2018)
The purpose of present work is to study the relationship of the deformed shape of the nucleus with the radioactivity of nuclei for (Uranium-238 and Thorium-232) series. To achieve our purposes we have been calculated the quadruple deformation paramet
Externí odkaz:
https://doaj.org/article/97feea5ae15f497eaa4ac0447e837c9f
Autor:
Adil A Mansoor, Hameed M Abduljabbar
Publikováno v:
AIMS Geosciences. 8:709-717
This research aims to study the radiation concentration distribution of the old District of Najaf (Iraq), where 15 samples were taken from featured sites in the District, which represents archaeological, religious, and heritage sites. Track detector
Publikováno v:
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES22Fr.
Publikováno v:
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES22Fr.
Autor:
Noor S. Ahmed, Hameed M. Abduljabbar
Publikováno v:
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES22Fr.
Publikováno v:
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES22Fr.
Publikováno v:
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES21Gr.
Publikováno v:
Energy Procedia. 157:164-170
The effect of using two different activation functions on the classification accuracy using artificial neural network is presented. Where two activation functions are implemented to classify a satellite image which are the logistic and hyperbolic act