The present research aims at revealing the advertising image semiotics in the American printed poster by following the image's significance and its transformations through the poster design trends and indicating its nature whether it is an explicit or implicit image. The limits of the research were the American printed poster during 2016-2018 period. The theoretical side was determined by two sections, the first: (the advertising image semiotics) and the second (design trends in the printed poster). The research procedures were represented by the research method adopted in the analysis of the sample models identified in four models taken from the research community which contains (24) models. The selection was made according to the trend

Man was closely associated with nature in its various forms, as it represented the incubator for him in all areas of his life, so writers often made it a material for their literature and a fertile ground for their productions, so it appeared in its various forms and man’s need for it, its good and its bad in literature throughout history, and the Arabs are like Other nations, since the pre-Islamic era, nature was an important outlet and a refuge for poets in the production and creativity of literature and to this day, and when we talk about a poet from the Fatimid state, we find that nature - especially spring and its flowers - in that period took its take from literature and represented a phenomenon for many Among the

The issue of image captioning, which comprises automatic text generation to understand an image’s visual information, has become feasible with the developments in object recognition and image classification. Deep learning has received much interest from the scientific community and can be very useful in real-world applications. The proposed image captioning approach involves the use of Convolution Neural Network (CNN) pre-trained models combined with Long Short Term Memory (LSTM) to generate image captions. The process includes two stages. The first stage entails training the CNN-LSTM models using baseline hyper-parameters and the second stage encompasses training CNN-LSTM models by optimizing and adjusting the hyper-parameters of

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

الحمد لله رب العالمين والصلاة والسلام على نبينا محمد( صلى الله عليه وعلى اله وسلم) وعلى اله وصحبه أجمعين وعلى من سار على نهجه واتبع سننه إلى يوم الدين. يعتمد علماء الحديث والباحثون في العلوم الإسلامية وبعض الدراسات في العلوم الأخرى الأحاديث النبوية الشريفة في دراساتهم وأبحاثهم العلمية، ولذلك يلجأ ون إلى كتب التخريجات التي تهديهم إلى مواضع الأحاديث في مصادرها الأصلية . وزاد التأليف في كتب تخريج الأحاديث لأهمي

يهدف البحث الى استخدام بحوث العمليات في اتخاذ القرارات الادارية لما لها من اهمية في مواكبة التطورات الحاصلة في مجال استراتيجيات الاعمال ونظم المعلوماتية وإدارة المعرفة في القرن الحالي، إذ لم تعد الأساليب التقليدية في اتخاذ القرارات الإدارية مجدية بعد ظهور توجهات حديثة في الإدارة تركز على ضرورة الاعتماد على الأساليب الكمية كبحوث العمليات, وقد تطور استخدام بحوث العمليات في السنوات الماضية بشكل كبير وأصبحت أ

The research deals with one of the urban problems facing cities, namely the existence of neglected urban spaces that need to be activated , These spaces give a negative image of the city, is not conducive to life and social interactions or the city has a one distinctive urban experience, leading to a reduction peoples' confidence in revisiting of those areas, hinder the rest of the activities in that region . Because these spaces are of the basic components of the city and give it its identity through the elements and entities that constitute it  , The idea of research emerged in the reclaiming of these spaces within contemporary urban trends and the activation of  flexible  , short-term and inovation for that purpose with