Faculty of Information Technology
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Detecting and Counting People Faces in Images Using Deep Learning Approach
(الجامعة الإسلامية بغزة, 2019-12)Computer vision has received increased attention in recent years. Researchers have made remarkable advancement in the field of computer vision. Computer vision applications include object detection and image classification. ... -
Breast Cancer Severity Degree Predication Using Deep Learning Techniques
(ScopeMed Publishing, 2020-03-01)Breast cancer is one of the most common types of cancer most often affecting women. It is a leading cause of cancer death in less developed countries. Thus, it is important to characterize the severity of the disease as ... -
LSTM-CNN Deep Learning Model for Sentiment Analysis of Dialectal Arabic
(Springer Science and Business Media LLC, 2019)In this paper we investigate the use of Deep Learning (DL) methods for Dialectal Arabic Sentiment Analysis. We propose a DL model that combines long-short term memory (LSTM) with convolutional neural networks (CNN). The ... -
ArbDialectID at MADAR Shared Task 1: Language Modelling and Ensemble Learning for Fine Grained Arabic Dialect Identification
(Association for Computational Linguistics, 2019-08)In this paper, we present a Dialect Identification system (ArbDialectID) that competed at Task 1 of the MADAR shared task, MADARTravel Domain Dialect Identification. We build a course and a fine-grained identification model ... -
Template based Medical Reports Summarization
(Foundation of Computer Science, 2018-02-15)The torrential information in the medical records is considered a great problem because it difficult to distinguish the needed and necessary information from the huge quantity of data. As a result, the importance of ... -
Feature-Based Opinion Summarization for Arabic Reviews
(Institute of Electrical and Electronics Engineers (IEEE), 2018-11)Opinion mining applications work with a large number of opinion holders. This means a summary of opinions is important so we can easily interpret holders' opinions. The aim of this paper is to provide a feature-based ... -
Breast Cancer Severity Degree Predication Using Data Mining Techniques in the Gaza Strip
(Institute of Electrical and Electronics Engineers (IEEE), 2018-10)Data mining has become a fundamental methodology for computing applications in the domain area of medicine. Data mining is defined as the procedure that finds the valuable data from raw information sets by investigating ... -
A Comparative Study of DCT and DWT Image Compression Techniques combined with Huffman coding
(ScopeMed Publishing, 2019-08)Image compression techniques have been widely used to store and transmit data which requires storage space and high transfer speed. The explosive growth of high-quality photos leads to the requirement of efficient technique ... -
Ad Campaigns Generation Using Deep Learning Approach
(الجامعة الإسلامية بغزة, 2019-04)An advertising campaign is a set of advertising messages that related to each others. It identifies the message of promotion of a brand, a product, or a service. Campaigns usually use multiple media to promote the product ... -
A New Approach Based on Soft Frequent Pattern Mining for Detecting Significant Events in Arabic Microblogs
(الجامعة الإسلامية بغزة, 2018-08)Recently, Microblogs have become the new communication medium between users. It allows millions of users to post and share content of their own activities, opinions about different topics. Posting about occurring real-world ... -
Medium-Term Forecasting for Rain Amounts and Groundwater Production (Dear El-Balah City as A Case Study)
(الجامعة الإسلامية بغزة, 2018-09)Forecasting is a data mining technique which benefits from numerous sources of time-series data to derive value from historical data and helps business decision-makers for effective planning. Groundwater is the main water ... -
Performance Evaluation of RESTful Web Services for Mobile Devices
(2010)Smart Mobile devices and web services are becoming very popular. Mobile devices are physically constrained devices; low processor speed, limited memory, limited battery, and slow intermit wireless connection. This implies ... -
A Lexical Distance Study of Arabic Dialects
(Elsevier BV, 2018)Diglossia is a very common phenomenon in Arabic-speaking communities, where the spoken language is different from both Classical Arabic (CA) and Modern Standard Arabic (MSA). The spoken language is characterised as a number ... -
WikiDocsAligner: An Off-the-Shelf Wikipedia Documents Alignment Tool
(Institute of Electrical and Electronics Engineers (IEEE), 2017-05)Wikipedia encyclopedia is an attractive source for comparable corpora in many languages. Most researchers develop their own script to perform document alignment task, which requires efforts and time. In this paper, we ... -
Distributed Data Mining On Grid Environment
(2012)Data mining tasks considered a very complex business problem. In this research, we study the enhancement in the speedup of executing data mining tasks on a grid environment. Experiments were performed by running two main ... -
Forecasting Groundwater Production and Rain Amounts Using ARIMA-Hybrid ARIMA: Case Study of Deir El-Balah City in GAZA
(Institute of Electrical and Electronics Engineers (IEEE), 2018-10)Forecasting as a data mining technique offers the opportunity to leverage the numerous sources of time-series data, to support business decision-makers for effective planning and derive value from historical data. The lack ... -
A Social Network Analysis of Tweets during the Gaza War, Summer 2014
(Institute of Electrical and Electronics Engineers (IEEE), 2016-08-22)The platforms of social Networks play a growing role in influencing the public opinion. In addition, social Networks can describe the reaction of communities towards the reigning conflicts in the world. As a matter of fact, ... -
Detecting Significant Events in Arabic Microblogs using Soft Frequent Pattern Mining
(Islamic University of Gaza, 2019-03-06)nowadays, people use microblogs as a main platform to write about events that occur in their environment. Many researches have been conducted for event detection on the English language, but, Arabic context has not received ... -
Prediction and diagnosis of leukemia using classification algorithms
(IEEE, 2017-05)Algorithms used in data mining techniques are of great importance in the field of health care, especially in the case of getting patterns or models that are undiscovered in databases. In the area of health care, leukemia ... -
Assessing Research Data Output Management at the Managerial Levels at Partner PS HEIs
(2017-03)This report presents the findings of a needs assessment survey that was carried out with research managers in four Palestinian Higher Education Institutions (PS HEIs) between December 2016 and February 2017. The four ...
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