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Text image secret sharing with hiding based on color feature
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Publication Date
Sun Feb 10 2019
Journal Name
Journal Of The College Of Education For Women
Aware of the roots of the text in the arab heritage
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Text science presented a set of criteria to make the text essentially a project to create
texts and use. Me and means of cohesion script text scientists, two standard foundries and
knitting. Find this means their equivalent in the Arab rhetorical Heritage has been found, it
means foundries find Accompanying represented (link grammar in the classroom and link),
and referrals represented by (Baldmair, Ldefinition, and the name of the signal), and
deletion, and repetition, and presentation delays. As in the standard knitting it has confirmed
Albulagjun Arabs on the semantic consistency between the text components, as reflected in
the moral link in Chapter interfaces, as well as in moral coherence between parts of the te

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Publication Date
Sun Jun 02 2019
Journal Name
Journal Of The College Of Languages (jcl)
Basis of deconstruction in poetic text: بنەماكانی هەڵوەشاندنەوە لە دەقی شیعریدا
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Deconstruction theory is a theory that appeared After construction theory, and it tends, through some key principles, to reach the purposive and the main meaning of the text by the means of different perspectives. In other words, deconstruction is a critical literary theory and a contemporary philosophical approach that work together to reach exact concept of the text, and this is achieved through reading and analyzing the text. Therefore, deconstruction has specified some principles so as to reach the exact meaning of the text through these different principles.

پێشەكی:

تیۆری هەڵوەشاندنەوە تیۆرێكە پاش بوونیادگەری سەریهەڵداوە و دەیەوێت لەڕ

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Publication Date
Fri Jan 01 2016
Journal Name
Machine Learning And Data Mining In Pattern Recognition
A New Strategy for Case-Based Reasoning Retrieval Using Classification Based on Association
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Publication Date
Sat Jun 03 2017
Journal Name
Journal Of Diagnostic Medical Sonography
The Diagnostic Accuracy of Sonography, With Graded Compression to Image Acute Appendicitis Compared to Histopathologic Results
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Acute appendicitis is the most common surgical abdominal emergency. Its clinical diagnosis remains a challenge to surgeons, so different imaging options were introduced to improve diagnostic accuracy. Among these imaging modality choices, diagnostic medical sonography (DMS) is a simple, easily available, and cost effective clinical tool. The purpose of this study was to assess the accuracy of DMS, in the diagnosis of acute appendicitis compared to the histopathology report, as a gold standard. Between May 2015 and May 2016, 215 patients with suspected appendicitis were examined with DMS. The DMS findings were recorded as positive and negative for acute appendicitis and compared with the histopathological results, as a gold standard

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Publication Date
Thu Sep 15 2022
Journal Name
Al-academy
Color works in highlighting the functional and aesthetic aspects of interior designs
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Color is one of the most important elements involved and contributing mainly to designs and visual works, whether they are fixed or mobile, for internal spaces through what color gives it the possibilities on the physical and intellectual level, if the process is linked to the functional performance or the aesthetic value, which is thus included within the system of processors and basic works in Designing the interior spaces and highlighting the functional and aesthetic aspects of them through the executed designs that are linked to certain techniques and mechanisms. Therefore, they are processed according to the references and pressure structures or the creation and modern dealing with materials and designs to implement operations in hi

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Publication Date
Sun Oct 31 2021
Journal Name
Eastern-european Journal Of Enterprise Technologies
Distinguishing of different tissue types using K-Means clustering of color segmentation
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Millions of lives might be saved if stained tissues could be detected quickly. Image classification algorithms may be used to detect the shape of cancerous cells, which is crucial in determining the severity of the disease. With the rapid advancement of digital technology, digital images now play a critical role in the current day, with rapid applications in the medical and visualization fields. Tissue segmentation in whole-slide photographs is a crucial task in digital pathology, as it is necessary for fast and accurate computer-aided diagnoses. When a tissue picture is stained with eosin and hematoxylin, precise tissue segmentation is especially important for a successful diagnosis. This kind of staining aids pathologists in disti

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Publication Date
Sun Jan 01 2017
Journal Name
Indian Journal Of Pathology And Microbiology
Assessment of topoisomerase II-alpha gene status by dual color chromogenic in situ hybridization in a set of Iraqi patients with invasive breast carcinoma
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Abstract Background: The human epidermal growth factor receptor 2(HER2) proto-oncogene is overexpressed or amplified in approximately 15%-25% of invasive breast cancers. Approximately 35% of HER2-amplified breast cancers have coamplification of the topoisomerase II-alpha (TOP2A) gene encoding an enzyme that is a major target of anthracyclines. Hence, the determination of genetic alteration (amplification or deletion) of both genes is considered as an important predictive factor that determines the response of breast cancer patients to treatment. The aims of this study are to determinate TOP2A status gene amplification in a set of Iraqi patients with breast cancer that have had an equivocal (2+) and positive HER2/neu by immunohistochemistry

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Publication Date
Sun Mar 01 2020
Journal Name
Iraqi Journal Of Physics
Blood Vessels Detection of Diabetic Retinopathy from Retinal Fundus Image using Image Processing Techniques
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Early detection of eye diseases can forestall visual deficiency and vision loss. There are several types of human eye diseases, for example, diabetic retinopathy, glaucoma, arteriosclerosis, and hypertension. Diabetic retinopathy (DR) which is brought about by diabetes causes the retinal vessels harmed and blood leakage in the retina. Retinal blood vessels have a huge job in the detection and treatment of different retinal diseases. Thus, retinal vasculature extraction is significant to help experts for the finding and treatment of systematic diseases. Accordingly, early detection and consequent treatment are fundamental for influenced patients to protect their vision. The aim of this paper is to detect blood vessels from

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Publication Date
Tue Mar 31 2015
Journal Name
Al-khwarizmi Engineering Journal
Influence of Coating with Some Natural Based Materials on the Erosion Wear Behavior of Glass Fiber Reinforced Epoxy Resin
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Abstract 

In the present study, composites were prepared by Hand lay-up molding. The composites constituents were epoxy resin as a matrix, 6% volume fractions of glass fibers (G.F) as reinforcement and 3%, 6% volume fractions of preparation natural material (Rice Husk Ash, Carrot Powder, and Sawdust) as filler. Studied the erosion wear behavior and coating by natural wastes (Rice Husk Ash) with epoxy resin after erosion. The results showed the non – reinforced epoxy have lower resistance erosion than natural based material composites and the specimen (Epoxy+6%glass fiber+6%RHA) has higher resistance erosion than composites reinforced with carrot powder and sawdust  at 30cm , angle 60

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Publication Date
Tue Jan 01 2019
Journal Name
Advances On Computational Intelligence In Energy
A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption
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Within the framework of big data, energy issues are highly significant. Despite the significance of energy, theoretical studies focusing primarily on the issue of energy within big data analytics in relation to computational intelligent algorithms are scarce. The purpose of this study is to explore the theoretical aspects of energy issues in big data analytics in relation to computational intelligent algorithms since this is critical in exploring the emperica aspects of big data. In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. This work highlights that big data analytics using computational intelligent algorithms generates a very high amo

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