محمود منصور هو أحد أعضاء هيئة التدريس بقسم الشبكات بكلية تقنية المعلومات. يعمل السيد محمود بجامعة طرابلس كـأستاذ منذ 2020-02-03 وله العديد من المنشورات العلمية في مجال تخصصه

منشورات مختارة

بعض المنشورات التي تم نشرها في كلية تقنية المعلومات

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

NETWORK SOLUTION FROM GSM to LTE

LTE’s study phase began in late 2004. The overall goal was to select technology that would keep 3GPP’s Universal Mobile Telecommunications System (UMTS) at the forefront of mobile wireless well into the next decade. Key project objectives were set in the following areas: peak data throughput; spectral efficiency; flexible channel bandwidths; latency; device complexity; and overall system cost. The main decision was whether to pursue the objectives by continuing to evolve the existing W-CDMA air interface (which incorporates HSPA (highspeed packet access) or adopt a new air interface based on OFDM. arabic 5 English 27
Mariam Abojela Msaad, Amer R. Zerek, Fareda A. Elmaryami(1-2014)

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

اطلع على المزيد

كلية تقنية المعلومات

كلية تقنية المعلومات

حول كلية تقنية المعلومات

حقائق حول كلية تقنية المعلومات

نفتخر بما نقدمه للمجتمع والعالم

المنشورات العلمية

هيئة التدريس

الطلبة

الخريجون

أخبار كلية تقنية المعلومات

البرامج الدراسية

بكالوريوس نظم المعلومات

بكالوريوس في تقنية المعلومات

بكالوريوس في تقنية المعلومات

من يعمل بـكلية تقنية المعلومات

أ.د. محمود ميلود علي منصور

منشورات مختارة

بعض المنشورات التي تم نشرها في كلية تقنية المعلومات

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

NETWORK SOLUTION FROM GSM to LTE

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

وثائق تهمك

ارشادات امتحان المفاضلة

اللائحة 501 بشأن تنظيم التعليم العالي

المواد الدراسية لكلية تقنية المعلومات