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Detecting and Counting People Faces in Images Using Deep Learning Approach

Al Atrash, Yehea (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. ...

UAV Detection Model Using Histogram of Oriented Gradients and SVM

Abu-Jamous, Mohammed (الجامعة الإسلامية بغزة, 2019-12)

Object detection is a well-known challenge in computer vision, and this challenge becomes more complicated especially when the object of interest occupies a small portion of the field of view, possibly moving within complex ...

ROMOR Project Summary

Awadallah, Rawia (2019-12)

The scientific research and associated development in Palestine has gained a considerable attention in the past few years. However, the access to the research output has been severely limited due to the primitive current ...

ArbDialectID at MADAR Shared Task 1: Language Modelling and Ensemble Learning for Fine Grained Arabic Dialect Identification

Abu Kwaik, Kathrein; Saad, Motaz K (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 ...

A Comparative Study of DCT and DWT Image Compression Techniques combined with Huffman coding

Maghari, Ashraf Y. A. (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 ...

An Approach for Enhancing Drug Dispensing Process Using Mixed Reality Based on Microsoft HoloLens

Saleem, Khalil A. (الجامعة الإسلامية بغزة, 2019-05)

Nowadays, technology is used in every aspect of our life, leading us to a new comfortable world. Technology is considered as the key of modernity of any field of our life. Every department of pharmacy uses many types of ...

Ad Campaigns Generation Using Deep Learning Approach

Ahmed, Atef (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 ...

Detecting Significant Events in Arabic Microblogs using Soft Frequent Pattern Mining

Zendah, Jehad H; Maghari, Ashraf Y. A. (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 ...

LSTM-CNN Deep Learning Model for Sentiment Analysis of Dialectal Arabic

Abu Kwaik, Kathrein; Saad, Motaz K; Chatzikyriakidis, Stergios; Dobnik, Simon (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 ...

Feature-Based Opinion Summarization for Arabic Reviews

El-Halees, Alaa M.; Salah, Doaa (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 ...

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