يعتمد تطور البحث العلمي عادة على القياس. فبدون قياس لا يمكن معرفة مدى كفاءة أي نظام أو أداة مستحدثة. في هذه الورقة نعرض أدوات القياس التي يتم إستخدامها في تحديد كفاءة أنظمة إسترجاع المعلومات عموما و نركز على ما هو متوفر منها لقياس أنظمة إسترجاع النصوص العربية، ونبين مدى التطور التي أحدثه على مستوى إسترجاع النصوص العربية. تركز الورقة على عرض مجموعات الإختبار العربية المتوفرة حاليا, وتبرز القصور التي تعاني منه، وتظهر الحاجة الى وجود نجموعات اختبار عربية تتوافق مع واقع النصوص العربية الموجودة حاليا على شبكة المعلومات الدولية. كما نقوم بعرض مجموعة الإختبار التي قمنا بإعدادها لإختبار ظاهرة زيادة حجم النصوص العربية. ونبين أن زيادة الحجم في النصوص العربية يؤثر سلبا في مستوى آداء أنظمة الإسترجاع العربية. arabic 125 English 0
عبد السلام الفيتوري أحمد النويصري(10-2015)

Antipersonnel landmines represent a very serious hazard endangering the lives of many people living in armed conflict counties. The huge number of human lives lost due to this phenomenon has been a strong motivation for this research. Deep Learning (DL) is considered a very useful tool in object detection, image classification, face recognition and other computer vision activities. This paper focuses on DL for the problem of landmines recognition in order to identify its type based on shape features. This research work consists of several stages: gathering a new dataset of Anti-Personnel Mines (APMs) images for training and testing purposes, employing several augmentation strategies to boost the diversity of training data, applying four different Convolutional Neural Network (CNN) models namely VGG, ResNet, MiniGoogleNet and MobileNet, and evaluating their performances on APMs recognition. In conclusion, results indicate that MiniGoogleNet exceed all of other three models in recognizing APMs with the highest accuracy rate of 97%.
Hassan Ali Hassan Ebrahem, Abdelhamid Elwaer, Marwa Solla, Fatima Ben Lashihar, Hala Shaari, Rudwan A. Husain(7-2021)

Biometrics technologies have been around for quite some time and many have been deployed for different applications all around the world, ranging from small companies' time and attendance systems to access control systems for nuclear facilities. Biometrics offer a reliable solution for the establishment of the distinctiveness of identity based on "who an individual is", rather than what he or she knows or carries. Biometric Systems automatically verify a person's identity based on his/her anatomical and behavioral characteristics. Biometric traits represent a strong and undeviating link between a person and his/her identity, these traits cannot be easily lost or forgotten or faked, since biometric systems require the user to be present at the time of authentication. Some biometric systems are more reliable than others, yet they are neither secure nor accurate, all biometrics have their strengths and weaknesses. Although some of these systems have shown reliability and solidarity, work still has to be done to improve the quality of service they provide. Presented is the available standing biometric systems showing their strengths and weaknesses and also emerging technologies which may have great benefits for security applications in the near future.
Abdulmonam Omar Ahmed Alaswad(0-2008)