واقع ومستقبل الصراعات الدولية والاقليمية في البحر الاحمر

يتناول هذا البحث دور المنظمات الدولية في تفعيل الحقوق السياسية للمرأة من خلال تحليل الأبعاد المعيارية والمؤسسية التي أسهمت في تفعيل هذه الحقوق على المستوى الدولي، وبيان مدى فاعلية الآليات التي اعتمدتها المنظمات الدولية في تحويل الالتزامات القانونية إلى ممارسات عملية داخل الدول. وينطلق البحث من فرضية مفادها أن تأثير المنظمات الدولية لا يتحدد بقدرتها على إنتاج القواعد القانونية فحسب، وإنما يرتبط بفاعلية أد

Banks represents financial institutions that influence the economy of any country and their evolution and development is the need to seek all states , communities, maintain and control a guarantee of the beneficiaries investors and to promote confidence, so the specialized organizations trying to set principles and rules must be adhered to and are Basel (II) of the necessary effects to be introduced and work on their application.  Banks exposed by various risks one of them operational risks that have multiple effects on the activity of the institution itself, as well as the national economy, so this study was to find out what those effects and to find solutions and appropriate proposals to avoid Iraqi banks from the effects of risk,

العلاقات السياسية الدولية واستراتيجية ادارة الازمات

ي لا ماق ثحبلا فادهأ قيقحتلو ثحبلا ةنيعل نايبتسا ءارجاو فراصملل ةيلاملا مئاوقلا ليلحتب ثحاب اهمهأ ناك تاجاتنتسا ىلإ ثحابلا لصوت دقو لإ صاخ معد دوجو مدع نم ةيفرصملا رطاخملا ةراد ةروصب اهدوجو مدعو فراصملل ةماعلا تارادلاا يف اهدوجو رصتقي ثيح ،ايلعلا تاهجلا لبق نم ديزي امم ،عورفلا يف ةلاعف مدع ةجيتن عورفلا نم ةدلوتملاو فراصملا اههجاوت يتلا رطاخملا اهمهأ ناك تايصوت ىلإ ثحابلا لصوت دقو امك ،ةيفرصملا تلاماعم

لا زال انضمام العراق الى WTO  مثار جدل لما يترتب على هذا الانضمام من اثار كبيرة وخطيرة على الاقتصاد العراقي الذي لا يزال يعيش ظروف صعبة ناتجة عن تدمير قدراته وبناه التحتية اثر الحروب والحصار والتي امتدت لحوالي ثلاثة عقود .

العراق يحتاج الى فرصة اعادة تنظيم  قدراته وامكاناته سواء في القطاع الصناعي او القطاع الزراعي وان الاخير يمثل حالة تتطلب منها منح العراق افضليات تدع

Most recent studies have focused on using modern intelligent techniques spatially, such as those
developed in the Intruder Detection Module (IDS). Such techniques have been built based on modern
artificial intelligence-based modules. Those modules act like a human brain. Thus, they should have had the
ability to learn and recognize what they had learned. The importance of developing such systems came after
the requests of customers and establishments to preserve their properties and avoid intruders’ damage. This
would be provided by an intelligent module that ensures the correct alarm. Thus, an interior visual intruder
detection module depending on Multi-Connect Architecture Associative Memory (MCA)

 An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification

Deep learning convolution neural network has been widely used to recognize or classify voice. Various techniques have been used together with convolution neural network to prepare voice data before the training process in developing the classification model. However, not all model can produce good classification accuracy as there are many types of voice or speech. Classification of Arabic alphabet pronunciation is a one of the types of voice and accurate pronunciation is required in the learning of the Qur’an reading. Thus, the technique to process the pronunciation and training of the processed data requires specific approach. To overcome this issue, a method based on padding and deep learning convolution neural network is proposed to