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The effectiveness of artificial intelligence in contemporary digital graphic design
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In our world, technological development has become inherent in all walks of life and is characterized by its speed in performance and uses. This development required the emergence of new technologies that represent a future revolution for a fourth industrial revolution in various fields, which contributed to finding many alternatives and innovative technical solutions that shortened time and space in terms of making Machines are smarter, more accurate, and faster in accomplishing the tasks intended for them, and we find the emergence of what is called artificial intelligence (artificial intelligence), which is the technology of the future, which is one of the most important outputs of the fourth industrial revolution, and artificial intelligence has become a comprehensive term for applications that perform complex tasks that required in the past human inputs such as Communicating with customers via the Internet and various digital applications, as it saved a lot of time, effort, and money thanks to its various capabilities, specifically in the field of graphic design. in graphic design The study aimed to identify the effectiveness of artificial intelligence in contemporary digital graphic design and to benefit from its applications through its employment in the field of graphic design. And the techniques used to design and develop artificial intelligence applications 4- The importance of artificial intelligence and its effectiveness in developing graphic design skills. Its effective capabilities enable and facilitate contemporary digital graphic design processes. The research also came out with conclusions, recommendations and proposals that came from it. Results: 1- Artificial intelligence for the graphic designer shortens the implementation of various designs and analyzes problems with accuracy and high speed, which allows achieving creativity and developing his skills. 2- Artificial intelligence can process a huge amount of data and information in a short period of time compared to time spent on traditional digital design. 3- Artificial intelligence enables the graphic designer to find solutions to unfamiliar problems that he faces when executing the design work. The researcher came out with conclusions, including: 1 - The revolution in the world of artificial intelligence in the future will make applications capable of carrying out various tasks of graphic design and most areas of our lives. 2- Artificial intelligence helps users create new patterns and different designs with less experience and knowledge in the field of design. The researcher also recommended directing graphic designers and students to work and make use of artificial intelligence techniques in the various stages of design to save time and effort and avoid making mistakes. The researcher also suggested studying the applications of artificial intelligence and their uses in the digital graphic achievement. The search was also included in the list of Arab and foreign sources

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Publication Date
Sun Dec 15 2019
Journal Name
Al-academy
Formal Substitution in Logo Design: حاتم كاطع لكن حسن
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substitution is considered a method of meaning enrichment and is a formal substitution for the letter or the word inside the text, and it is an expression substitution that is a replacement of an element of a text with a formal or graphic element, and a substitution of a latter form by a previous vocalization, thus it results in a cohesive expression. Replacement inside the text happens through the existing relation between the word or the letter and the form within the phenomenon that is based on enhancing the meaning in a way that delimits the context. There are many studies and researches written about replacement, especially in the textual linguistics that focused on the literary and linguistic texts. Hence, the researcher found that

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Publication Date
Wed Oct 07 2026
Journal Name
Journal Of Baghdad College Of Dentistry
An In Vitro Evaluation of the Effectiveness of Gotu Kola (Centella asiatica) on Inhibiting the Growth of Selected Microorganismsin Human Saliva
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Background: Gotu Kola (Centella asiatica) has been used as a traditional medicine for many years to cure different kinds of diseases. Studies have been reported that Gotu Kola extracts might be used as a cure for oral diseases such as periodontal disease. In the present study, Gotu Kola leaves extracted with water will be used to evaluate its effect on some microorganisms living in the human saliva using minimum inhibitory concentration (MIC) method. Material and Method:Gotu Kola fresh leaves extract have been used with water as a solvent, a rotary evaporator was used to separate the solvent from the extract. The following microorganisms: Streptococci, Lactobacilli, and Staphylococcus aureus have been isolated fromthe Saliva of ten voluntee

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Publication Date
Fri Nov 01 2019
Journal Name
Lambert Academic Publishing
📖[PDF] The digital discourse of action video games de Nassier A. G. Al-Zubaidi eBook | Perlego
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Videogames are currently one of the most widespread means of digital communication and entertainment; their releases are attracting considerable interest with growing number of audience and revenues each year. Videogames are examined by a variety of disciplines and fields. Nevertheless, scholarly attention concerned with the discourse of videogames from a linguistic perspective is relatively scarce, especially from a pragma-stylistic standpoint. This book addresses this vital issue by providing a pragma-stylistic analysis of the digital discourse of two well-known action videogames (First Person Shooter Games). It explores the role of the digital discourse of action videogames in maintaining real-like interactivity between the game and the

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Publication Date
Thu Oct 12 2023
Journal Name
Egyptian Journal Of Biological Pest Control
Evaluation of the effectiveness of some mycorrhizal fungi isolates against charcoal rot disease
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Abstract<sec> <title>Background

The sunflower plants are attacked by serious seed and soil-borne pathogens including charcoal rot disease that caused by Macrophomina phaseolina. This disease has serious damages to sunflower crop. This study aimed to assess the efficacy of Arbuscular mycorrhizal fungus against charcoal rot disease as fungicide alternative.

Results

Morphological and molecular identification was done, using universal primers for molecular identification. Finally, a greenhouse experiment was conducted, and

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Publication Date
Mon May 27 2019
Journal Name
Al-academy
The Linguistic Vocabulary and its Role in Constructing the Design Thought: هدى محمود عمر --- سداد هشام حميد
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The importance of the Arabic language and its deep vocabulary in the live translation of the work of science and interior design can't be hidden from the whole world. The previous studies have dealt with the role of the linguistic vocabulary and Arabic calligraphy in interior spaces in terms of decoration and design. However, this research sheds light on the importance of linguistic vocabulary in the construction of design thought and how it has become the a basic motivation in the process of scientific and practical construction and not just aesthetic formations that took their place in the interior spaces, as linguistic vocabulary emerged recently and echoed within the specialization of interior design and formed a key motive to explor

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Publication Date
Sat Mar 01 2025
Journal Name
Iraqi Journal Of Physics
Design an Efficient Neural Network to Determine the Rate of Contamination in the Tigris River in Baghdad City
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This article proposes a new technique for determining the rate of contamination. First, a generative adversarial neural network (ANN) parallel processing technique is constructed and trained using real and secret images. Then, after the model is stabilized, the real image is passed to the generator. Finally, the generator creates an image that is visually similar to the secret image, thus achieving the same effect as the secret image transmission. Experimental results show that this technique has a good effect on the security of secret information transmission and increases the capacity of information hiding. The metric signal of noise, a structural similarity index measure, was used to determine the success of colour image-hiding t

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Publication Date
Mon May 27 2019
Journal Name
Al-academy
Employing Celebrities in Commercial Advertising Design: براء مهدي محسن
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Employing the social personalities (celebrities) in all fields (artistic, sports, media, etc.) is an important media and visual communication means of identification for the companies and institutions in order to convey the advertising idea in accordance with the creative, aesthetic and functional principles aimed at promoting products and gaining the symbolic value for the company. This study investigates the employment of social personalities in the commercial advertising design in order to pinpoint the importance of employing celebrities and their representation in the advertisement to convey the meaning that signifies the advertisement goal. Thus the question of the study is: "What are the mechanisms of employing celebrities in the d

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Publication Date
Tue Jan 01 2019
Journal Name
Energy Procedia
The effect of the activation functions on the classification accuracy of satellite image by artificial neural network
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Publication Date
Thu Jun 01 2023
Journal Name
Results In Engineering
Effectiveness of embedded through-section technique in strengthening reinforced concrete spandrel beams
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Publication Date
Thu Sep 01 2016
Journal Name
Journal Of Engineering
Application of Artificial Neural Network for Predicting Iron Concentration in the Location of Al-Wahda Water Treatment Plant in Baghdad City
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Iron is one of the abundant elements on earth that is an essential element for humans and may be a troublesome element in water supplies.  In this research an AAN model was developed to predict iron concentrations in the location of Al- Wahda water treatment plant in Baghdad city by water quality assessment of iron concentrations at seven WTPs up stream Tigris River. SPSS software was used to build the ANN model. The input data were iron concentrations in the raw water for the period 2004-2011. The results indicated the best model predicted Iron concentrations at Al-Wahda WTP with a coefficient of determination 0.9142. The model used one hidden layer with two nodes and the testing error was 0.834. The ANN model coul

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