Faculty of Information Technology
Recent Submissions
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COVID-19 Detection in X-ray Images using CNN Algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12)Based on the best published research from Stanford University, the CheXNet algorithm was developed to diagnose and detect pneumonia from chest X-rays. To achieve better performance than experienced radiologists from the ... -
Sentiment Analysis of Arabic Tweets on the Great March of Return using Machine Learning
(Universiti Utara Malaysia (UUM), 2021-02-01)Social media platforms such as Twitter and Facebook are becoming powerful sources of people’s perception of major events. Most people use social media to express their views on various issues and events and develop their ... -
Sentiment Analysis of Arabic Tweets Using Supervised Machine Learning
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12)The information momentum available on social media is an appropriate environment for identifying users' reactions and attitudes towards a particular topic, products, or any issues. To analyze this data and extract useful ... -
COVID-19 Detection from Chest X-ray Scans using Machine Learning
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12)Recently, the virus (COVID-19) has spread widely throughout the world and has led to the examination of large numbers of suspected cases using standard COVID-19 tests and has become pandemic. Everyday life, public health ... -
Sentiment Analysis of Mobile Phone Products Reviews Using Classification Algorithms
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12)Sentiment analysis or opinion mining is a process of analyzing opinions and emotions to infer the tendencies and impressions shown on the analyzed data and classify them as positive or negative. Sentiment analysis is ... -
Assessment of Habitants’ Thermal Comfort Through Different Treatments of Flat Rooftops in Residential Buildings
(Springer, Cham, 2020)Among different types of roofs for residential buildings, flat roofs are found to be the most common in the Middle East. Flat roofs are an ancient form mostly used in arid climates and allow the roof space to be used by ... -
Vernacular Elements as Indicators for Sustainable Interior Environment: Housing in Jordan
(Springer, Cham, 2020)The vernacular architecture elements are the creation of land, the local climate, and people’s culture. Vernacular houses are established on a foundation of a series of sustainable-oriented principles. The vernacular ... -
Recognition of partially occluded faces using regularized ICA
(2020-11)Face recognition approaches that use subspace projection are heavily related to basis images, especially in the case of partial occlusion. To improve the recognition performance, the occlusion should be excluded from the ... -
ROMOR Project Summary
(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 ... -
Medium-term forecasts for groundwater production and rainfall amounts (Deir El-Balah City as a case study)
(Springer Science and Business Media LLC, 2020-09)Forecasting is a data mining technique which benefits from a variety of time series data sources to extract actual value from historical data and helps business decision-makers in effective planning. An increase in demand ... -
UAV Detection Model Using Histogram of Oriented Gradients and SVM
(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 ... -
An Approach for Enhancing Drug Dispensing Process Using Mixed Reality Based on Microsoft HoloLens
(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 ... -
Automation of Field Training Process for Senior Students at ITF - IUG
(2020-08-18)There are many barriers and problems in manual systems. Such as timeconsuming and costly to produce reports. One of these systems is the training system at the information technology (IT) faculty at the Islamic University ... -
A Mixed Reality based Approach for Enhancing Drug Dispensing Process using Microsoft HoloLens
(Available at SSRN 3648492, 2020-07-13)Technology is considered as the key of modernity of any field of our life. Every department of pharmacy uses many types of modern technologies, starting from drug design to drug clinical studies to industrial pharmacy and ... -
Medium‑term forecasts for salinity rates and groundwater levels
(Springer Science and Business Media LLC, 2020-07-25)An increase in demand for groundwater associated with uncontrolled consumption has led to the depletion of groundwater wells. As a result, the mixing of seawater with groundwater increases the salinity rates, especially ... -
ICMPv6-Based DoS and DDoS Attacks and Defense Mechanisms: Review
(Informa UK Limited, 2017-07-04)The number of internet users and devices that are in need for more IP addresses to be assigned to them is rapidly increasing. A new protocol named IPv6 was developed in 1998 to overcome the addressing issue and to improve ... -
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 ...
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