قسم نظم المعلومات

المزيد ...

حول قسم نظم المعلومات

قسم نظم المعلومات/كلية تقنية المعلومات/جامعة طرابلس

حقائق حول قسم نظم المعلومات

نفتخر بما نقدمه للمجتمع والعالم

5

المنشورات العلمية

1

هيئة التدريس

120

الطلبة

0

الخريجون

البرامج الدراسية

بكالوريوس نظم المعلومات
تخصص نظم المعلومات

يهتم قسم نظم المعلومات بكيفية استخدام تكنولوجيا المعلومات وممارستها وتطبيقها في جميع المجالات الخدمية و التقنية لهذا يعتبر هذا التخصص همزة الوصل بين تخصصات علوم الحاسب ومجالات العمل المختلفة ، يتمكن الطلاب من خلاله اكتساب المعارف والمهارات اللازمة لتحليل وتصميم وتطوير...

التفاصيل

من يعمل بـقسم نظم المعلومات

يوجد بـقسم نظم المعلومات أكثر من 1 عضو هيئة تدريس

staff photo

د. محمد عبدالدائم عبدالهادى محبوب

الدكتور محمد عبدالدائم عبدالهادى احد اعضاء هيئة التدريس بقسم نظم المعلومات, كلية تقنية المعلومات ,تخصصه الدقيق, نظم استرجاع البيانات ودرجته العلمية استاذ مشارك.

منشورات مختارة

بعض المنشورات التي تم نشرها في قسم نظم المعلومات

A developed Shadow Agent based on Ad-hoc Routing used to Optimize the Performance of DSR in different Network Environments

Abstract— in this research paper, Dynamic Source Routing were under certain studies from different aspects including a comparison between DSR performance according to different environments and with other protocols. DSR is a well-known ad hoc protocol, which is restricted to small networks. A new developed Agent used to enhance the performance of the DSR. A developed shadow Agent has made a new step forward to solve the problem of routing maintenance. This developed Agent has the ability to control the routing in the network which normally holding a routing table to increase the utilization of the routing protocol. The developed shadow Agent has played a major role to handle the expected dis-connectivity that may happen when the Agent changes its location, arabic 19 English 103
Mohamed Abdeldaiem Abdelhadi Mahboub(6-2014)
Publisher's website

Comparative Study on Inverted File versus Signature File performance in Information Retrieval System used by Arabic Language

Abstract--- In this research paper we have presented a comparison among two Information Retrieval models namely, Inverted file and Signature file for investigating their performance in Arabic Information Retrieval Systems. We have studied both models as to judge the models performance and their effectiveness. arabic 16 English 108
Mohamed Abdeldaiem Abdelhadi Mahboub(2-2015)
Publisher's website

OPTIMIZATION SEGMENTATION AND CLASSIFICATION FROM MRI OF BRAIN TUMOR AND ITS LOCATION CALCULATION USING MACHINE LEARNING AND DEEP LEARNING APPROACH

The manual detection and classification finding correct location and identifying type of tumor becomes a rigorous and hectic task for the radiologists. Medical diagnosis via image processing and machine learning is considered one of the most important issues of artificial intelligence systems. Deep learning has been used successfully in supervised classification tasks in order to learn complex patterns. The main contributions of this paper are as create a more generalized method for brain tumor classification using deep learning a variety of neural networks were constructed based on the preprocessing of image data., analyze the application of tumorless brain images on brain tumor classification and empirically evaluate neural networks on the given datasets with per image accuracy and per patient accuracy. And also presents an efficient image segmentation using machine learning algorithm with some optimization techniques to detect brain tumors. arabic 19 English 128
Mohamed Abdeldaiem Abdelhadi Mahboub(3-2019)
Publisher's website