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International Cooperation in the Face of Internet Crimes
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في بداية الستينيات ظهرت شبكة الإنترنت لاستعمالها في أغراض غير تجارية ، ثم تطورت بشكل مذهل خلال السنوات الأخيرة، فبعد أن كانت مجرد شبكة صغيرة أصبحت الآن تضم ملايين المستخدمين حول العالم ، وتحولت من مجرد شبكة بحث أكاديمي إلى بيئة متكاملة للاستثمار والعمل والإنتاج والإعلام والحصول على المعلومات .

 وفي بداية تأسيس الشبكة لم يكن ثمة اهتمام بمسائل الأمن بقدر ما كان الاهتمام ببنائها وتوسيع نشاطها  إلا أنَّه بعد إتاحة الشبكة للعموم بدأ يظهر على الوجود ما يسمى بالجرائم المعلوماتية على الشبكة أو بواسطتها، وهي جرائم تتميز بحداثة الأسلوب وسرعة التنفيذ وسهولة الإخفاء والقدرة على محو آثارها وتعدد صورها وأشكالها، إضافة إلى اتصافها بالعالمية وعبورها للحدود . وقد صاحب تطور شبكة الإنترنت وانتشارها الواسع والسريع ظهور العديد من المشاكل القانونية ، فظهر على الساحة القانونية مصطلح جديد عرف باسم " الفراغ القانوني لشبكة الإنترنت "، وإزاء ذلك كان لابد من تكاتف جهود الدول من أجل مكافحة هذا النوع المستحدث من الجرائم التي لم تعد تتمركز في دولة معينة ولا توجه إلى مجتمع بعينه بل أصبحت تعبر الحدود لتلحق الضرر بعدة دول ومجتمعات مستغلة التطور الكبير للوسائل التقنية الحديثة في الاتصالات وتعزيز التعاون بين هذه الدول واتخاذ تدابير فعالة للحد منها والقضاء عليها ومعاقبة مرتكبيها .

ولمواجهة الصعوبات التي تواجه التعاون الدولي في مكافحة جرائم الإنترنت كان لا بد من اتخاذ إجراءات سريعة تتمثل في تحديث التشريعات الوطنية المتعلقة بالجرائم المعلوماتية وجرائم الإنترنت وإبرام اتفاقيات      (دولية، إقليمية، ثنائية) لمواجهة القصور في التشريعات والقوانين الحالية ، ومعالجة حالات تنازع القوانين والاختصاص القضائي وتحديث الإجراءات التحقيقية الجنائية بما يتناسب مع التطور الكبير الذي تشهده تكنولوجيا المعلومات والاتصالات ، وتأهيل القائمين على أجهزة تنفيذ القانون لتطوير معلوماتهم حول هذا النوع المستحدث من الجرائم

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Publication Date
Sat Jan 01 2022
Journal Name
Aip Conference Proceedings
Appraisal of intelligent notification system for smart university campus based internet of objects for social activities
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Publication Date
Fri Jul 19 2019
Journal Name
Iraqi Journal Of Science
Real Time Multi Face Blurring on Uncontrolled Environment based on Color Space algorithm
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Faces blurring is one of the important complex processes that is considered one of the advanced computer vision fields. The face blurring processes generally have two main steps to be done. The first step has detected the faces that appear in the frames while the second step is tracking the detected faces which based on the information extracted during the detection step. In the proposed method, an image is captured by the camera in real time, then the Viola Jones algorithm used for the purpose of detecting multiple faces in the captured image and for the purpose of reducing the time consumed to handle the entire captured image, the image background is removed and only the motion areas are processe

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Publication Date
Wed Dec 27 2017
Journal Name
Al-khwarizmi Engineering Journal
Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
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This work implements the face recognition system based on two stages, the first stage is feature extraction stage and the second stage is the classification stage. The feature extraction stage consists of Self-Organizing Maps (SOM) in a hierarchical format in conjunction with Gabor Filters and local image sampling. Different types of SOM’s were used and a comparison between the results from these SOM’s was given.

The next stage is the classification stage, and consists of self-organizing map neural network; the goal of this stage is to find the similar image to the input image. The proposal method algorithm implemented by using C++ packages, this work is successful classifier for a face database consist of 20

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Publication Date
Sat Jun 03 2023
Journal Name
Iraqi Journal Of Science
Face Recognition Using Stationary wavelet transform and Neural Network with Support Vector Machine
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Face recognition is a type of biometric software application that can identify a specific
individual in a digital image by analyzing and comparing patterns. It is the process of
identifying an individual using their facial features and expressions.
In this paper we proposed a face recognition system using Stationary Wavelet Transform
(SWT) with Neural Network, the SWT are applied into five levels for feature facial
extraction with probabilistic Neural Network (PNN) , the system produced good results
and then we improved the system by using two manner in Neural Network (PNN) and
Support Vector Machine(SVM) so we find that the system performance is more better
after using SVM where the result shows the performance o

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Publication Date
Tue Dec 01 2009
Journal Name
Journal Of Economics And Administrative Sciences
Measuring the impact of interest rates on the movement of international financial flows (Japan case study) for the period 1985-2005
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يعد الاقتصاد الياباني احد اكبر الاقتصادات الرأسمالية المتقدمة ويحتل المرتبة الثالثة بعد الاقتصاد الأمريكي واقتصاد الاتحاد الاوربي من حيث حجم الناتج المحلي الإجمالي والذي يكاد يقترب من (5) تريليون دولار سنويا.

لقد ادت التطورات المتلاحقة التي شهدها الاقتصاد العالمي وخاصة في حقل التمويل الدولي خلال العشرين سنة الاخيرة الى تصاعد وارتفاع في حجم وحركه رؤوس الاموال الدولية على اوسع نطاق بحيث ا

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Publication Date
Wed Feb 20 2019
Journal Name
Political Sciences Journal
North Korea's nuclear program is facing the International Atomic Energy Agency (IAEA)
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لخلاصة Nuclear energy is among the most important discoveries reached by the human terms contributed to the solution of many problems faced by the states. The last of these that are not only utilizing it in a peaceful area, but tended toward the military field and the nuclear weapons industry , Among these countries, we find North Korea, which has openly declared their manufacture of nuclear weapons and thus entry to the club of nuclear countries. International Atomic Energy Agency has worked to resolve the North Korea standoff but has not been able to achieve positive results, prompting the intervention of European countries in order to end the crisis. تعدُّ الطاقة النووية من بين أهم الاستكشافا

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Publication Date
Wed Feb 05 2020
Journal Name
Political Sciences Journal
Overlapping international positions United State and Russian Federation towards the Syrian crisis
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Abstract: Due to the geopolitical importance of Syria in the Middle East region, which constitutes the captain's egg in regional and international balances, which made it a battleground, specifically after 2011 through the outbreak of the Syrian revolution and exacerbation was significantly to form an international crisis, and the emergence of intense regional competition. A broad regional polarization, the main objective of which is the uniqueness of regional leadership among the regional leaders of the region's leadership (Iran, Israel, Turkey, Saudi Arabia), It has taken a wide turn which resulted in a significant development in political events, which led to the failure of regional influential poles in the region to contain the crisi

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Publication Date
Sun Jun 16 2019
Journal Name
Al–bahith Al–a'alami
News frames for the phenomenon of terrorism in international satellite channels directed in Arabic An analytical study of the main news bulletins in the Russian channel today 1/2/31/5/2018
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International satellite channels in Arabic are targeted to the region with their news bulletins and their innovative programs, attracting the interest of the Arab viewers in their news articles and programs with new ideas and methods as well as high technology in the production and synthesis of videos. Therefore, they work on framing the above, And the media policy that governs, so focused the problem of the study to try to answer the question of the President is how to frame the international satellite channels in Arabic to the phenomenon of terrorism? What are the aspects that are working to highlight and aspects that try to hide? The study adopted the survey methodology for the main news bulletins in the Russian channel today for the

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Publication Date
Sat Jan 01 2022
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science (ijeecs)
Increasing validation accuracy of a face mask detection by new deep learning model-based classification
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During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve

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Publication Date
Mon Oct 03 2022
Journal Name
International Journal Of Nonlinear Analysis And Applications
Use of learning methods for gender and age classification based on front shot face images
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