Recent Submissions

  • Intelligent edge-based recommender system for internet of energy applications 

    Sayed, Aya Nabeel; Bensaali, Faycal; Himeur, Yassine ( Qatar University Press , 2021 , Poster)
    When investigating how people conserve energy, most researchers and decision-makers render a conceptual distinction between prevention (e.g. unplugging devices) and productivity measures. Nevertheless, such a two-dimensional ...
  • Effective Smart Contracts for Supply Chain Contracts 

    Aejas, Bajeela; Bouras, Abdelaziz ( Qatar University Press , 2021 , Poster)
    Blockchain is in its way of revolutionizing different sectors with its decentralized peer-to-peer networking. Smart contracts are the piece of software that have written rules to be executed automatically to update the ...
  • Vehicle identification using optimised ALPR. 

    Ottakath, Najmath; Al-Ali, Abdulla; Al Maadeed, Somaya ( Qatar University Press , 2021 , Poster)
    Vehicles are a common sight on the road. Tracking and monitoring suspicious vehicles for identification due to high similarity in structure and form leads to difficulties in differentiating between them. The unique identity ...
  • Investigating the impact of innovative treatments on driving behavior at school bus stops: A driving simulator study 

    Almallah, Mustafa Suhail; SayedMohammed, Shabna; Hussain, Qinaat; Alhajyaseen, Wael K. M. ( Qatar University Press , 2021 , Poster)
    The illegal overtaking/crossing of stopped school buses has been identified as one of the leading causes of students' injuries and fatalities. The likelihood of students in getting involved in a school bus-related crash ...
  • Machine Learning Approach to Predict Metro Ridership based on Land Use Densities 

    Alkhereibi, Aya Hasan; Wakjira, Tadesse; kucukvar, Murat; Qidwai, Uvais; Muley, Deepti; ... more authors ( Qatar University Press , 2021 , Poster)
    Predicting metro ridership is an essential requirement for efficient metro operation and management. The dependence of metro ridership on the land use densities entails a need for an accurate predictive model. To this end, ...
  • Optimization Models For Multiple Resource Planning 

    Z. Al-Dossari, Norah Mohammed; Haouari, Mohamed; Kharbeche, Mohamed ( Qatar University Press , 2021 , Poster)
    Multiple resource planning is a very crucial undertaking for most organizations. Apart from reducing operational complexity, multiple resource planning facilitates efficient allocation of resources, which reduces costs by ...
  • Factors affecting students' satisfaction with online learning in higher education in Qatar 

    Abuhzaimah, Alaa; Abushanab, Emad Ahmed ( Qatar University Press , 2021 , Poster)
    This effort seeks to explore the major factors that play an essential part in enhancing students 'satisfaction with online learning experience in higher education in Qatar, before and during the COVID-19 pandemic. The ...
  • Development of an Immersive Cultural Game using Mixed Reality 

    Boray, Yahia; Zaky, Hesham; Osman, Omar; Fetais, Noora ( Qatar University Press , 2021 , Poster)
    This game aims to preserve and spread cultural practices. It introduces new gaming mechanics, which allows user interaction with virtual game objects using hand gestures. The user's objective is to hunt prey in their natural ...
  • Blink rate vs Inner self perceived cognitive state while using virtual reality applications with haptic devices. 

    Ottakath, Najmath; Al Maadeed, Somaya; Al Jaam, Jihad; Saleh, Moutaz ( Qatar University Press , 2021 , Poster)
    On average, humans blink between eight and 21 times per minute while resting. Eye actions are influenced by external and internal stimuli. This can be utilized to measure internal cognition specifically focus and attention ...
  • Anomaly Detection in Blockchain-enabled Supply Chain: An Ontological Approach 

    Abu Musa, Tahani Hussein; Bouras, Abdelaziz ( Qatar University Press , 2021 , Poster)
    In our proposed work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection ...
  • Performance Analysis of DCT and DWT Algorithms in Image Steganography 

    Najeeb, Al Anood; Maadeed, Somaya Al; Maadeed, Noor Al ( Qatar University Press , 2021 , Poster)
    Frequency domain techniques such as Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) ensures high accuracy when compared with the spatial domain techniques. Therefore, these image steganographic methods ...
  • The impact of risk identification on IT project delivery in Qatar public sector 

    Oshi, Mutaz; Abushanab, Emad ( Qatar University Press , 2021 , Poster)
    Unmanaged project risks can jeopardize the project's success and outcome. To assist project managers in overcoming or reducing the impact of project risk, several risk management models and standards have been established. ...
  • M-Service Quality of Telecom Companies in Qatar 

    Alemadi, Abdulla Nasser; Abushanab, Emad ( Qatar University Press , 2021 , Poster)
    Today, although mobile applications make our lives easier, the service quality provided by such applications has become a vital element in increasing customer satisfaction. This research paper aims to identify the significant ...
  • Enhancing Pedestrian Safety through the Development of Advanced Operational Strategies for Crosswalks in Residential Areas 

    Hussain, Qinaat; Alhajyaseen, Wael; Kharbeche, Mohamed ( Qatar University Press , 2021 , Poster)
    Pedestrians are the most vulnerable group in the traffic. Every year approximately 40,000 pedestrians are killed in the world due to road traffic crashes. In the state of Qatar, the situations are even worse with around ...
  • Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ 

    Ahmed, Mustafa; Houkan, Mohammed; Sadasivuni, Kishor Kumar ( Qatar University Press , 2021 , Poster)
    The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time ...
  • Stego-eHealth: An eHealth System for Secured Transfer of Medical Images Using Image Steganography 

    Subramanian, Nandhini; Kunhoth, Jayakanth; Al-Maadeed1, Somaya; Bouridane, Ahmed ( Qatar University Press , 2021 , Poster)
    COVID pandemic has necessitated the need for virtual and online health care systems to avoid contacts. The transfer of sensitive medical information including the chest and lung X-ray happens through untrusted channels ...