Recent Submissions

  • GRU-based deep learning approach for network intrusion alert prediction 

    Ansari, Mohammad Samar; Bartoš, Václav; Lee, Brian (Elsevier, 2021-11)
    The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ...
  • Blockchain for decentralized multi-drone to combat COVID-19 

    Alsamhi, Saeed H.; Lee, Brian; Guizani, Mohsen; Kumar, N.; Qiao, Yuansong; Liu, Xuan (Wiley, 2021-03-17)
    Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ...
  • Machine learning for smart environments in B5G networks: connectivity and QoS 

    Alsamhi, Saeed H.; Almalki, Faris, A.; Al-Dois, Hatem; Othman, Soufiene Ben; Hassan, Jahan; Hawbani, Anmar; Sahal, Radyah; Lee, Brian; Saleh, Hager (Hindawi, 2021-09-20)
    The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and ...
  • Delay-based network utility maximization modelling for congestion control in name data networking 

    Ye, Yuhang; Flynn, Ronan; Xu, Jin; Guiming, Fang; Yuansong, Qiao (IEEE, 2021-10-05)
    Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control ...
  • Unsupervised noise detection in unstructured data for automatic parsing 

    Jain, Shubham; de Buitléir, Amy; Fallon, Enda (IEEE, 2020-11-30)
    The telecommunications industry makes extensive use of data extracted from logs, alarms, traces, diagnostics, and other monitoring devices. Analyzing the generated data requires that the data be parsed, re-structured, and ...
  • Blockchain-empowered digital twins collaboration: smart transportation use case. 

    Sahal, Radhya; Alsamhi, Saeed H.; Brown, Kenneth N.; O'Shea, Donna; McCarthy, Connor; Guizani, Mohsen (2021-09-09)
    Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to-date operational data representation ...
  • A crowdsourcing-based QoE evaluation of an immersive VR autonomous driving experience 

    Gomes, Guilherme Daniel; Flynn, Ronan; Murray, Niall (IEEE, 2021-06-30)
    Due to COVID-19, crowdsourcing has gained momentum as an alternative methodology for continuing research and for Quality of Experience (QoE) assessment. Employing this approach, we remotely evaluated the user perceived QoE ...
  • A workflow management framework for the dynamic generation of workflows that is independent of the application environment 

    Jasinski, Andrzej; Qiao, Yuansong; Fallon, Enda; Flynn, Ronan (IEEE, 2021-06-30)
    Workflow is a well-known and widely used technology in business management. Traditional workflow solutions are designed for humans and generally use a graphical representation of workflow elements that reflect the involvement ...
  • A framework for the dynamic generation of workflows for network management 

    Jasinski, Andrzej; Qiao, Yuangsong; Fallon, Enda; Flynn, Ronan (IEEE, 2021-06-30)
    A demonstration of the application of dynamically generated workflows to the management of a network environment is presented. A proposed workflow management framework (WMF) uses dynamically generated workflows to control ...
  • Industry 4.0 smart reconfigurable manufacturing machines 

    Morgan, Jeff; Halton, Mark; Qiao, Yuangsong (Elsevier, 2021-04-07)
    This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. The ...
  • The role of physiological responses in a VR-based sound localisation task 

    Moraes, Adrielle N.; Flynn, Ronan; Hines, Andrew; Murray, Niall (IEEE, 2017)
    Virtual reality (VR) has recently emerged as a platform that can be employed in the context of e-health applications. Even though the majority of VR-based applications focus on visual stimuli as the main content, audio ...
  • A reliable and energy efficient dual prediction data reduction approach to WSNs based on Kalman filter 

    Wang, Haibin; Yemeni, Zaid; Ismael, Waleed M.; Hawbani, Ammar; Alsamhi, Saeed H. (Wiley, 2021-07-29)
    Wireless sensor networks (WSNs) are critically resource-constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and narrow communication bandwidth. The data reduction technique is ...
  • A low-cost platform for environmental smart farming monitoring system based on IoT and UAVs 

    Almalki, Faris A.; Soufiene, Ben Othman; Alsamhi, Saeed H.; Sakli, Hedi (MDPI, 2021-05-24)
    When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This ...
  • Digital twin: origin to future 

    Singh, Maulshree; Fuenmayor, Evert; Hinchy, Eoin P.; Qiao, Yuansong; Murray, Niall (MDPI, 2021-05-24)
    Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin ...
  • Block-chain empowered multi-robot collaboration to fight COVID-19 and future pandemics 

    Alsamhi, Saeed H.; Lee, Brian (IEEE, 2021-03-25)
    This conceptual paper overviews how blockchain technology is involving the operation of multi-robot collaboration for combating COVID-19 and future pandemics. Robots are a promising technology for providing many tasks ...
  • Analysis of iterative process for Nauru voting system 

    Gohar, Neelam; Niaz, Sidra; Ashg, Mamoona Naveed; Noor, Salma (Tech Science Press, 2021)
    Game theory is a popular area of artificial intelligence in which the voter acknowledges his own desires and favors the person he wants to be his representative. In multi-agent systems, social choice functions help ...
  • Intelligent monitoring of IoT devices using neural networks 

    Chawla, Ashima; Babu, Pradeep; Gawande, Trushnesh; Aumayr, Erik; Jacob, Paul; Fallon, Sheila (IEEE, 2021-03-29)
    The Internet of Things (IoT) has seen expeditious growth in recent times with 7 billion connected devices in 2020, thus leading to the vital importance of real-time monitoring of IoT devices. Through this paper, we demonstrate ...
  • Digital twins collaboration for automatic erratic operational data detection in industry 4.0 

    Sahal, Radhya; Alsamhi, Saeed H.; Breslin, John G.; Brown, Kenneth N.; Ali, Muhammad Intizar (MDPI, 2021-04-02)
    Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and ...
  • Green internet of things using UAVs in B5G networks: a review of applications and strategies 

    Alsamhi, Saeed H.; Afghah, Fatemeh; Sahal, Radhya; Hawbani, Ammar; Al-qaness, Mohammad A. A.; Lee, Brian; Guizani, Mohsen (Elsevier, 2021-04-03)
    Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...
  • Hop-by-hop congrestion measurement and practical active queue management in NDN 

    Ye, Yuhang; Lee, Brian; Qiao, Yuansong (IEEE, 2020-12)
    Content replication and name-based routing in Named Data Network (NDN) naturally lead to connectionless multi-source and multipath transmissions. Traditional congestion control designed for end-to-end connections cannot ...

View more