It is important to study that the social circumstances in Alexandria through  Mamluk era specially social life in Egypt specially in Alexandria  which had describe as it was show change in opposite with other sides of life

This study deals with the region of the Babylon governorate in Iraq during the Proto-Literate and Early Dynastic periods. It is the region of the well- known ancient capital Babylon. The earlier period includes Late Uruk, Jamdat nasr, and the first epoch of the Early Dynastic period. The latter includes the second and third epochs of the Early Dynastic period. The both periods had lasted more than one thousand years (3500-2334 BC

The Abbasid Caliphate generally paid attention to the financial aspect through the collection of resources , And also in terms of spending these resources

Digital image is widely used in computer applications. This paper introduces a proposed method of image zooming based upon inverse slantlet transform and image scaling. Slantlet transform (SLT) is based on the principle of designing different filters for different scales.

      First we apply SLT on color image, the idea of transform color image into slant, where large coefficients are mainly the   signal and smaller one represent the noise. By suitably modifying these coefficients , using scaling up image by  box and Bartlett filters so that the image scales up to 2X2 and then inverse slantlet transform from modifying coefficients using to the reconstructed image .

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Groupwise non-rigid image alignment is a difficult non-linear optimization problem involving many parameters and often large datasets. Previous methods have explored various metrics and optimization strategies. Good results have been previously achieved with simple metrics, requiring complex optimization, often with many unintuitive parameters that require careful tuning for each dataset. In this chapter, the problem is restructured to use a simpler, iterative optimization algorithm, with very few free parameters. The warps are refined using an iterative Levenberg-Marquardt minimization to the mean, based on updating the locations of a small number of points and incorporating a stiffness constraint. This optimization approach is eff

The successful implementation of deep learning nets opens up possibilities for various applications in viticulture, including disease detection, plant health monitoring, and grapevine variety identification. With the progressive advancements in the domain of deep learning, further advancements and refinements in the models and datasets can be expected, potentially leading to even more accurate and efficient classification systems for grapevine leaves and beyond. Overall, this research provides valuable insights into the potential of deep learning for agricultural applications and paves the way for future studies in this domain. This work employs a convolutional neural network (CNN)-based architecture to perform grapevine leaf image classifi

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هو ابو الحسن السري بن احمد السري الكندي الرفاء الموصلي ويعرف بالسري الرفاء وهو الاسم الذي غلب عليه، ولقب بالرفاء لانه كان يعمل في رفو الثياب وتطريزها وقد ذكره الثعالبي في اليتيمة فقال (فمنهم السري بن احمد الكندي المعروف بالرفاء)(1)ولد الرفاء في مدينة الموصل ولا تعرف سنة ولادته ولكنه من شعراء القرن الرابع الهجري الذين ذكرهم الثعالبي في يتيمته، وقد عاش صباه رفاء في سوق الرفائين في الموصل حيث سلمه والداه الى احد

This research is an attempt 0f discovering an advice and mention kinds of politics  with administration sides through the Umayyad  era in the way of showing it which had directed to successors and princes in the state , whereas this subject did not take the chance , as historian research which dealt with this advice through the continuous period after the early Islam and Umayyad era