<p>Combating the COVID-19 epidemic has emerged as one of the most promising healthcare the world's challenges have ever seen. COVID-19 cases must be accurately and quickly diagnosed to receive proper medical treatment and limit the pandemic. Imaging approaches for chest radiography have been proven in order to be more successful in detecting coronavirus than the (RT-PCR) approach. Transfer knowledge is more suited to categorize patterns in medical pictures since the number of available medical images is limited. This paper illustrates a convolutional neural network (CNN) and recurrent neural network (RNN) hybrid architecture for the diagnosis of COVID-19 from chest X-rays. The deep transfer methods used were VGG19, DenseNet121

بسم الله الرحمن الرحيم

يتناول بحثنا الموسوم بـ ( الأحكام الذوقية للأصمعي في كتاب الموشح في مآخذ العلماء على الشعراء للمرزباني ) جانباً تطبيقياً من نقد أحد علماء اللغة في القرن الثاني للهجرة وبداية القرن الثالث الهجري ألا وهو الأصمعي .

وتحليل آرائه النقدية لمعرفة قدرته على تذوقه النصوص الشعرية , ومن ثَمَّ معرفة مزايا أحكامه الذوقية النقدية التي أوردها المرزباني وعَدَّها مآ

Preparation of epoxy/ TiO2 and epoxy/ Al2O3 nanocomposites is studed and investigated in this paper. The nano composites are processed by different nano fillers concentrations (0, 0.01, 0.02 ,0.03, 0.04 ,0.05 ,0.07 and 0.1 wt%). The particles sized of TiO2,Al2O3 are about 20–50 nm.Epoxy resin and nano composites containing different shape nano fillers of (TiO2:Al2O3 composites),are shear mixing with ratio 1 to 1,with different nano hybrid fillers concentrations( 0.025 ,0.0 5 ,0.15 ,0.2, and 0.25 wt%) to Preparation of epoxy/ TiO2- Al2O3 hybrid composites. The mechanical properties of nanocomposites such as bending ,wearing, and fatigue are investigated as mechanical properties.

Change detection is a technology ascertaining the changes of
specific features within a certain time Interval. The use of remotely
sensed image to detect changes in land use and land cover is widely
preferred over other conventional survey techniques because this
method is very efficient for assessing the change or degrading trends
of a region. In this research two remotely sensed image of Baghdad
city gathered by landsat -7and landsat -8 ETM+ for two time period
2000 and 2014 have been used to detect the most important changes.
Registration and rectification the two original images are the first
preprocessing steps was applied in this paper. Change detection using
NDVI subtractive has been computed, subtrac

Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval

Background/Objectives: The purpose of current research aims to a modified image representation framework for Content-Based Image Retrieval (CBIR) through gray scale input image, Zernike Moments (ZMs) properties, Local Binary Pattern (LBP), Y Color Space, Slantlet Transform (SLT), and Discrete Wavelet Transform (DWT). Methods/Statistical analysis: This study surveyed and analysed three standard datasets WANG V1.0, WANG V2.0, and Caltech 101. The features an image of objects in this sets that belong to 101 classes-with approximately 40-800 images for every category. The suggested infrastructure within the study seeks to present a description and operationalization of the CBIR system through automated attribute extraction system premised on CN

الدعوة العباسية هي جزء من الحركات الثائرة ضد أي نظام لم يستطع القيام بإدارة الأمور السياسية بطريقة تعمل على امتصاص الغضب الشعبي جراء السياسة الخاطئة لأي نظام استلم السلطة وكانت الدعوة العباسية تعمل على الوقوف والتأييد ضد أي تحرك ثوري يؤدي إلى كسر أو إنهاء الدولة الأموية وقد كان البيت العباسي قد عمد إلى التحرك السري في خراسان والأقاليم القريبة منها كون أن السلطة الأموية أخطأت في إيجاد الحلول الداخلية في داخل