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abaa-1018
Satirical Television Programs and Their Impact on the Image of Iraqi Politicians
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This research delves into the role of satirical television programs in shaping the image of Iraqi politicians. The research problem is summarized in the main question: How does satire featured in television programs influence the portrayal of Iraqi politicians? This research adopts a descriptive approach and employs a survey methodology. The primary data collection tool is a questionnaire, complemented by observation and measurement techniques. The study draws upon the framework of cultural cultivation theory as a guiding theoretical foundation. A total of 430 questionnaires were disseminated among respondents who regularly watch satirical programs, selected through a multi-stage random sampling procedure.
The researcher arrived at several key findings, including: A majority of the surveyed audience perceives the image crafted of Iraqi politicians through satirical programs as predominantly negative. A smaller portion of respondents believe that satirical programs do not offer a clear image of Iraqi politicians. Additionally, most respondents point to the portrayal of Iraqi politicians' inability to deliver services to citizens as a prominent negative trait accentuated by satirical programs. These programs tend to omit any portrayal of positive attributes or the stances of politicians who prioritize upholding the Iraqi constitution.

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Publication Date
Wed Feb 01 2006
Journal Name
Political Sciences Journal
الادراك السياسي للاصلاح الاداري في العراق
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الادراك السياسي للاصلاح الاداري في العراق

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Publication Date
Mon Nov 12 2018
Journal Name
Arab Science Heritage Journal
التاريخ التاريخ السياسي لمملكة ماري القديمة
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  The ancient kingdom of Mari located in the upper Euphrates River, 11 km inside the Syrian border, the Kingdom has gained political and economic importance by its geographical location, it featured a point communication between Mesopotamia and Syria and the country's path walked by the trade caravans and military campaigns

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Publication Date
Sun Jan 17 2021
Journal Name
Arab Science Heritage Journal
الجانب السياسي في شعر معروف الرصافي
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The poet Maarouf Al-Rusafi lived in an anxious era of our intellectual history at the end of the nineteenth and first half of the twentieth century, which is the stage of the launch of the Enlightenment movement in the Arab East with the great political and social changes that witnessed this stage that had an influential

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Publication Date
Wed Jul 25 2018
Journal Name
International Journal Of Engineering Trends And Technology
Fixed Predictor Polynomial Coding for Image Compression
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Publication Date
Thu Jan 01 2015
Journal Name
International Journal Of Computer Science And Mobile Computing
Image Compression using Hierarchal Linear Polynomial Coding
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Publication Date
Thu Feb 07 2019
Journal Name
Journal Of The College Of Education For Women
Visible image watermarking using biorthogonal wavelet transform
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In this paper, visible image watermarking algorithm based on biorthogonal wavelet
transform is proposed. The watermark (logo) of type binary image can be embedded in the
host gray image by using coefficients bands of the transformed host image by biorthogonal
transform domain. The logo image can be embedded in the top-left corner or spread over the
whole host image. A scaling value (α) in the frequency domain is introduced to control the
perception of the watermarked image. Experimental results show that this watermark
algorithm gives visible logo with and no losses in the recovery process of the original image,
the calculated PSNR values support that. Good robustness against attempt to remove the
watermark was s

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Publication Date
Sat Dec 03 2022
Journal Name
Tikrit Journal Of Pure Science
A Pixel Based Method for Image Compression
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The basic solution to overcome difficult issues related to huge size of digital images is to recruited image compression techniques to reduce images size for efficient storage and fast transmission. In this paper, a new scheme of pixel base technique is proposed for grayscale image compression that implicitly utilize hybrid techniques of spatial modelling base technique of minimum residual along with transformed technique of Discrete Wavelet Transform (DWT) that also impels mixed between lossless and lossy techniques to ensure highly performance in terms of compression ratio and quality. The proposed technique has been applied on a set of standard test images and the results obtained are significantly encourage compared with Joint P

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Publication Date
Thu Dec 01 2022
Journal Name
Journal Of Education For Pure Science- University Of Thi-qar
Dorsal Hand Vein Image Recognition: A Review
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Subcutaneous vascularization has become a new solution for identification management over the past few years. Systems based on dorsal hand veins are particularly promising for high-security settings. The dorsal hand vein recognition system comprises the following steps: acquiring images from the database and preprocessing them, locating the region of interest, and extracting and recognizing information from the dorsal hand vein pattern. This paper reviewed several techniques for obtaining the dorsal hand vein area and identifying a person. Therefore, this study just provides a comprehensive review of existing previous theories. This model aims to offer the improvement in the accuracy rate of the system that was shown in previous studies and

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Publication Date
Wed Jan 01 2020
Journal Name
Solid State Technology
Image Fusion Using A Convolutional Neural Network
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Image Fusion Using A Convolutional Neural Network

Publication Date
Wed Jan 01 2025
Journal Name
Journal Of Intelligent Systems And Internet Of Things
Enhancing Convolutional Neural Network for Image Retrieval
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With the continuous progress of image retrieval technology, the speed of searching for the required image from a large amount of image data has become an important issue. Convolutional neural networks (CNNs) have been used in image retrieval. However, many image retrieval systems based on CNNs have poor ability to express image features. Content-based Image Retrieval (CBIR) is a method of finding desired images from image databases. However, CBIR suffers from lower accuracy in retrieving images from large-scale image databases. In this paper, the proposed system is an improvement of the convolutional neural network for greater accuracy and a machine learning tool that can be used for automatic image retrieval. It includes two phases

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