With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 models are trained using the indoor and outdoor se

يهدف البحث التعرف على مستوى الوعي بتقنيات إعادة التدوير غير الميكانيكية التي يجري تطويرها حاليًا في قطاع "إعادة التدوير الكيميائي" الجديد لدى طلبة كلية التربية للعلوم الصرفة -ابن الهيثم. تكونت عينة البحث من (198) طالبا وطالبة من قسم الكيمياء للعام الدراسي (2021-2022) من أصل(250) أي (79%) من مجتمع البحث لدراسة الفصول الصباحية و(50) طالباً وطالبة من أصل (73) أي (68٪) من مجتمع البحث لدراسة الفصول المسائية لطلبة المرحلة الرابعة.وت

التعريف بالبحث

اهمية البحث والحاجة اليه :.

           اللغة وظيفة اساسية الا وهي التواصل ولقد زدادت الحاجة في هذا العصر الى تعلم اللغات والاحاطة بها اكثر من اي وقت مضى يوصفها الاساس الذي يعتمد عليه في تعلم المواد الاخرى .

         فاللغة اداة التفكير ونشر الثقافة في بلدان كثيرة مثل بلاد الاندلس التي اشرقت منها الحضارة في ا

The results of previous scientific studies showed that knowledge is something and application is something else, that's why teachers' preparation programs focused, in the present time, on special standards for knowledge and performance, i.e., who has knowledge is not necessary able to apply it in his life or in his field of work, which led to the existence of a gap between knowledge and application. Based on that, those interested in (teachers' preparation) reconsidered their work evaluation, thus the concept of competency appeared at the end of the sixties of the past century to address the negative in teachers' preparation.
The following contains a number of competency features in teachers' preparation programs:
Teachers' effec

The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal compone

Television white spaces (TVWSs) refer to the unused part of the spectrum under the very high frequency (VHF) and ultra-high frequency (UHF) bands. TVWS are frequencies under licenced primary users (PUs) that are not being used and are available for secondary users (SUs). There are several ways of implementing TVWS in communications, one of which is the use of TVWS database (TVWSDB). The primary purpose of TVWSDB is to protect PUs from interference with SUs. There are several geolocation databases available for this purpose. However, it is unclear if those databases have the prediction feature that gives TVWSDB the capability of decreasing the number of inquiries from SUs. With this in mind, the authors present a reinforcement learning-ba

استهدفت هذه الدراسة تحليل واقع الاقتصاد العراقي على خلفية تحليل القدرة التنافسية بما يفضي الى وضع ملامح عامة لإستراتيجية بناء للقدرة التنافسية الوطنية للنهوض بالواقع الاقتصادي. وقد افترضت الدراسة ان الاقتصاد العراقي يعاني من اخفاقات شديدة في الاداء لا تتصل بطبيعته ولاتعتبر سمة اصيلة من سماته  بل هي ظرفية وطارئة رغم وجودها منذ عقود.

ان حالة الوهن المرافق للفعاليات الاقتصادية تتصل بغيا

The paper aims to propose Teaching Learning based Optimization (TLBO) algorithm to solve 3-D packing problem in containers. The objective which can be presented in a mathematical model is optimizing the space usage in a container. Besides the interaction effect between students and teacher, this algorithm also observes the learning process between students in the classroom which does not need any control parameters. Thus, TLBO provides the teachers phase and students phase as its main updating process to find the best solution. More precisely, to validate the algorithm effectiveness, it was implemented in three sample cases. There was small data which had 5 size-types of items with 12 units, medium data which had 10 size-types of items w

ABSTRACT The importance and objectives of the study were an attempt to understand the methodology of disseminating radical thought and the reasons of social acceptability that make young people embrace this thought. It also sheds light on the impact of this phenomenon on the regional role of Egypt and examines the strategic means and standards that the Egyptian state focuses on in immunization and prevention of extremism.

     The research problem revolves around the failure of Maysan Oil Company to have a strategy that enables it to keep up with work in a mysterious and highly dynamic environment. Therefore, the research aims to present a proposed strategy that is comprehensive and realistic to the Maysan Oil Company for the next five years (2020-2024) based on the position and conditions of the company Current and future by adopting the scientific foundations for formulating the strategy, and the importance of research lies in the company's situational analysis to know its internal capabilities from strengths or weaknesses and diagnosing the surrounding elements of opportunities or threats so that this analysis represents a s