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Making political image in the election campaigns
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The study discusses the marketing profile of electoral candidates and politicians especially the image that takes root in the minds of voters has become more important than the ideologies in the technological era or their party affiliations and voters are no longer paying attention to the concepts of a liberal, conservative, right-wing or secular, etc. while their interests have increased towards candidates. The consultants and image experts are able to make a dramatic shift in their electoral roles. They, as specialists in the electoral arena, dominate the roles of political parties.
The importance of the study comes from the fact that the image exceeds its normal framework in our contemporary world to become political and cultural industry with its environment, tools and systematic action.
The study aims to find out the psychological, cultural and political values contained in the image that embodies political symbols. It covers the sides and relations of image’s strength and its political and social functions which now represent the candidates and citizens within the contemporary political marketing operations.
The study tends to use descriptive approach to review the prosperities of the political image and mechanisms of those in charge of image makers. It also includes analysis of the functional role of the image in the political marketing.

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Publication Date
Mon Dec 05 2022
Journal Name
Baghdad Science Journal
MSRD-Unet: Multiscale Residual Dilated U-Net for Medical Image Segmentation
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Semantic segmentation is an exciting research topic in medical image analysis because it aims to detect objects in medical images. In recent years, approaches based on deep learning have shown a more reliable performance than traditional approaches in medical image segmentation. The U-Net network is one of the most successful end-to-end convolutional neural networks (CNNs) presented for medical image segmentation. This paper proposes a multiscale Residual Dilated convolution neural network (MSRD-UNet) based on U-Net. MSRD-UNet replaced the traditional convolution block with a novel deeper block that fuses multi-layer features using dilated and residual convolution. In addition, the squeeze and execution attention mechanism (SE) and the s

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Scopus (16)
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Publication Date
Sat Mar 08 2025
Journal Name
مجلة حموربي للدراسات
الازمة السياسية الماليزية واثرها على ترسيخ الديمقراطية 2018-2022
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Publication Date
Sat Jun 01 2024
Journal Name
Journal Of Information Hiding And Multimedia Signal Processing
Upscale Gray Image using Mixing Transform Generation based on Tensor Product
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The increased size of grayscale images or upscale plays a central role in various fields such as medicine, satellite imagery, and photography. This paper presents a technique for improving upscaling gray images using a new mixing wavelet generation by tensor product. The proposed technique employs a multi-resolution analysis provided by a new mixing wavelet transform algorithm to decompose the input image into different frequency components. After processing, the low-resolution input image is effectively transformed into a higher-resolution representation by adding a zeroes matrix. Discrete wavelets transform (Daubechies wavelet Haar) as a 2D matrix is used but is mixed using tensor product with another wavelet matrix’s size. MATLAB R2021

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Publication Date
Mon Dec 03 2012
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
The Effect of Window Size Changing on Satellite Image Segmentation Using 2D Fast Otsu Method
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Publication Date
Tue May 01 2018
Journal Name
Sci.int.(lahore)
The Effect of Wavelet Coefficient Reduction on Image Compression Using DWT and Daubechies Wavelet Transform
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FG Mohammed, HM Al-Dabbas, Science International, 2018 - Cited by 2

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Publication Date
Wed Jan 01 2020
Journal Name
Studies In Big Data
COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor
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Corona Virus Disease-2019 (COVID-19) is a novel virus belongs to the corona virus's family. It spreads very quickly and causes many deaths around the world. The early diagnosis of the disease can help in providing the proper therapy and saving the humans' life. However, it founded that the diagnosis of chest radiography can give an indicator of coronavirus. Thus, a Corner-based Weber Local Descriptor (CWLD) for COVID-19 diagnostics based on chest X-Ray image analysis is presented in this article. The histogram of Weber differential excitation and gradient orientation of the local regions surrounding points of interest are proposed to represent the patterns of the chest X-Ray image. Support Vector Machine (SVM) and Deep Belief Network (DBN)

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Scopus (3)
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Publication Date
Mon Jan 23 2023
Journal Name
Arab Science Heritage Journal
العلاقات السياسية والعسكرية للإمارة العلوية في طبرستان مع الإمارة الطاهرية والصفارية والسامانية
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The stage of the establishment of the Alawite state in tabaristan was one of the most important stages in the history of the Shiite sect in Iran

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Publication Date
Tue Jan 05 2010
Journal Name
Political Sciences Journal
الجمود المؤسسي واثره في فشل التنمية السياسية : محاولة من اجل بناء مفهوم
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الجمود المؤسسي واثره في فشل التنمية السياسية : محاولة من اجل بناء مفهوم 

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Publication Date
Mon Dec 26 2022
Journal Name
Arab Science Heritage Journal
العلاقات السياسية والعسكرية للإمارة العلوية في طبرستان مع الإمارة الطاهرية والصفارية والسامانية
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The stage of the establishment of the Alawite state in tabaristan was one of the most important stages in the history of the Shiite sect in Iran , from a political , religious and even military point of view ,

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Publication Date
Tue Feb 05 2019
Journal Name
مجلة حوليات المنتدى
الاتفاق النووي الايراني و انعكاساته الاقليمية و الدولية دراسة في الجغرافية السياسية
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يشغل المجال النووي الايراني اهتمام دولي كبير الامر الذي جعل من الولايات المتحدة الامريكية تفرض قيودا اقتصادية على ايران لتحجيم دورها في المنطقة