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    An Overview of the Fifth Generation (5G) Networking Technology 

    Khalid, Fajer; Unal, Devrim (2021 , Preprint)
    In this study we review the advantages and disadvantages of 5G networking technology, with a special focus on its impact on individuals and society. We also look at the safety implications of using 5G technology in a wide ...
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    A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network 

    Zhao, Di; Qin, Hao; Song, Bin; Han, Beichen; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( MDPI , 2020 , Article)
    Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing ...

    Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach 

    Mudassir, Mohammed; Bennbaia, Shada; Unal, Devrim; Hammoudeh, Mohammad ( Springer , 2020 , Article)
    © 2020, Springer-Verlag London Ltd., part of Springer Nature. Bitcoin is a decentralized cryptocurrency, which is a type of digital asset that provides the basis for peer-to-peer financial transactions based on blockchain ...
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    RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos 

    Baccour, Emna; Erbad, Aiman; Mohamed, Amr; Haouari, Fatima; Guizani, Mohsen; Hamdi, Mounir... more authors ... less authors ( Elsevier , 2020 , Article)
    © 2020 Elsevier B.V. With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have ...
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    An incentive mechanism for data sharing based on blockchain with smart contracts 

    Xuan, Shichang; Zheng, Li; Chung, Ilyong; Wang, Wei; Man, Dapeng; Du, Xiaojiang; Yang, Wu; Guizani, Mohsen... more authors ... less authors ( Elsevier , 2020 , Article)
    © 2020 Data sharing techniques have progressively drawn increasing attention as a means of significantly reducing repetitive work. However, in the process of data sharing, the challenges regarding formation of mutual-trust ...
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    Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images 

    Tawsifur, Rahman; Khandakar, Amith; Qiblawey, Yazan; Tahir, Anas; Kiranyaz, Serkan; Abul Kashem, Saad Bin; Islam, Mohammad Tariqul; Al Maadeed, Somaya; Zughaier, Susu M.; Khan, Muhammad Salman; Chowdhury, Muhammad E.H.... more authors ... less authors ( Elsevier , 2021 , Article)
    Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest ...
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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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    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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    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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    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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