Iraqi Academic Scientific Journals

The effect of deformation parameter of heavy nuclei on level density parameter

R. J. Kadhum, Z. A. Dakhil, Mahdi Hadi Jasim

Iraqi Journal of Physics, 2014, Volume 12, Issue 25, Pages 38-43

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The temporal and spatial distribution of wind factor in Iraq

Azhaar Mishaal

Karbala International Journal of Modern Science, 2020, Volume 6, Issue 1, Pages 53-61

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Development of Statistical Model for the Prediction of Permanent Deformation in Paving Materials

Abbas F. Jassim, Namir G. Ahmad, Hamed M. Alani

Journal of Engineering, 2006, Volume 12, Issue 2, Pages 305-316

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SHOWING THE GOODNESS OF ARTIFICIAL NEURAL NETWORK MODEL FROM THE STATISTICAL MODEL

Saleema H.Jasim

Iraqi Journal of Science, 2012, Volume 53, Issue 3, Pages 668-676

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Spatial analysis of agricultural land erosion using the statistical model of Getis-Ord Gi * in Saladin Governorate

Dhafir Ibrahim Taha Al-Azzawi

Journal of Al-Farahidi's Arts, 2018, Volume 10, Issue 34-1, Pages 148-178

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Study of Monthly and Annual Changes for Concentration of Elements (Phosphate and Nitrate) Within Stream Tigris River in SomeRegions of Wassit Governorate

Basima Abbas Jabir Al-humairi

Journal of University of Babylon, 2018, Volume 26, Issue 6, Pages 309-331

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Developing Laboratory Performance Models for Thin Asphalt Overlay Mixtures

Mousa zeki, Shakir Al-Busaltan

Journal of University of Babylon, 2019, Volume 27, Issue 1, Pages 382-395

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Found: 7 resources

The effect of deformation parameter of heavy nuclei on level density parameter

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The temporal and spatial distribution of wind factor in Iraq

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Development of Statistical Model for the Prediction of Permanent Deformation in Paving Materials

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SHOWING THE GOODNESS OF ARTIFICIAL NEURAL NETWORK MODEL FROM THE STATISTICAL MODEL

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Spatial analysis of agricultural land erosion using the statistical model of Getis-Ord Gi * in Saladin Governorate

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Study of Monthly and Annual Changes for Concentration of Elements (Phosphate and Nitrate) Within Stream Tigris River in SomeRegions of Wassit Governorate

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Developing Laboratory Performance Models for Thin Asphalt Overlay Mixtures

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