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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    Machine Learning Approach to Predict Metro Ridership based on Land Use Densities 

    Alkhereibi, Aya Hasan; Wakjira, Tadesse; kucukvar, Murat; Qidwai, Uvais; Muley, Deepti; Siam, Abdalla... more authors ... less 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, ...
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    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 ...
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    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 ...
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    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 ...
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    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 ...
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    Author
      Abushanab, Emad (2) Al Maadeed, Somaya (2) Bouras, Abdelaziz (2) Hussain, Qinaat (2) ... View More
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      Poster (16)
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      Blockchain (2) Supply chain (2) Anomaly detection (1) Artificial Intelligence (1) ... View More
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