Recent Submissions

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    Online Recruitment Fraud Detection using ANN

    Nasser, Ibrahim M.; Alzaanin, Amjad H.; Maghari, Ashraf Yunis (Institute of Electrical and Electronics Engineers (IEEE), 2021-09)
    Online recruitment provides job-seekers an efficient search and reach for jobs. It also helps recruiters searching for qualified candidates which improves the recruitment process. However, employment scam has emerged as a ...
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    A Survey on the Relationships between Quality Attributes of the ISO9126 Model

    Alashqar, Abdelkareem M. (International Journals of Academic Research World (IJARW), 2021-03-01)
    Considering quality attributes when developing software is inevitable. Quality attributes are also known as non-functional requirement that requested by software stakeholders. ISO9126 is one of the best-known quality models ...
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    AUTOMATIC GENERATION OF UML DIAGRAMS FROM SCENARIO-BASED USER REQUIREMENTS

    Alashqar, Abdelkareem M. (ScopeMed, 2021-06-01)
    Effective software modeling tools are necessary for successful achievement of software engineering activities, especially when working in the analysis and design phase. Automating these tools facilitates work, makes it ...
  • COVID-19 Detection in X-ray Images using CNN Algorithm

    Musleh, Areej A.wahab Ahmed; Maghari, Ashraf Yunis (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 ...
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    Sentiment Analysis of Arabic Tweets on the Great March of Return using Machine Learning

    Daher, Saad Tareq; Maghari, Ashraf Yunis; Abushawish, Hussam Fares (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

    Khalid Bolbol, Noor; Maghari, Ashraf Yunis (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

    Eljamassi, Duaa F.; Maghari, Ashraf Yunis (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

    Salem, Mohammed A. M.; Maghari, Ashraf Y. A. (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 ...
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    Assessment of Habitants’ Thermal Comfort Through Different Treatments of Flat Rooftops in Residential Buildings

    Amro, Dana; Ammar, Suheir (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 ...
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    Vernacular Elements as Indicators for Sustainable Interior Environment: Housing in Jordan

    Amro, Dana; Ammar, Suheir (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 ...
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    Recognition of partially occluded faces using regularized ICA

    Maghari, Ashraf Y. A. (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 ...
  • Medium-term forecasts for groundwater production and rainfall amounts (Deir El-Balah City as a case study)

    Abuamra, Ihsan A.; Maghari, Ashraf Y. A.; Abushawish, Hussam F. (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 ...
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    A Mixed Reality based Approach for Enhancing Drug Dispensing Process using Microsoft HoloLens

    Saleem, Khalil; Maghari, Ashraf Y. A. (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 ...
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    Medium‑term forecasts for salinity rates and groundwater levels

    Maghari, Ashraf Y. A.; Abushawish, Hussam (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 ...
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    ICMPv6-Based DoS and DDoS Attacks and Defense Mechanisms: Review

    Elejla, Omar (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 ...
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    Breast Cancer Severity Degree Predication Using Deep Learning Techniques

    El-Halees, Alaa; Tafish, Mohammed (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 ...
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    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 ...
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    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 ...
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    Template based Medical Reports Summarization

    Abu El-Qumsan, Ahmed Y.; El-Halees, Alaa M. (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 ...
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    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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