Outputs (4095)

Burdens of Proposing: On the Burden of Proof in Deliberation Dialogues (2022)
Journal Article
Godden, D., & Wells, S. (2022). Burdens of Proposing: On the Burden of Proof in Deliberation Dialogues. Informal Logic, 42(1), 291-342. https://doi.org/10.22329/il.v42i1.7225

This paper considers the probative burdens of proposing action or policy options in deliberation dialogues. Do proposers bear a burden of proof? Building on pioneering work by Douglas Walton (2010), and following on a growing literature within comput... Read More about Burdens of Proposing: On the Burden of Proof in Deliberation Dialogues.

Antimicrobial Resistance and Machine Learning: Challenges and Opportunities (2022)
Journal Article
Elyan, E., Hussain, A., Sheikh, A., Elmanama, A. A., Vuttipittayamongkol, P., & Hijazi, K. (2022). Antimicrobial Resistance and Machine Learning: Challenges and Opportunities. IEEE Access, 10, 31561-31577. https://doi.org/10.1109/access.2022.3160213

Antimicrobial Resistance (AMR) has been identified by the World Health Organisation (WHO) as one of the top ten global health threats. Inappropriate use of antibiotics around the world and in particular in Low-to-Middle-Income Countries (LMICs), wher... Read More about Antimicrobial Resistance and Machine Learning: Challenges and Opportunities.

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture (2022)
Journal Article
Lo, O., Buchanan, W., Sayeed, S., Papadopoulos, P., Pitropakis, N., & Chrysoulas, C. (2022). GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors, 22(6), Article 2291. https://doi.org/10.3390/s22062291

E-governance is a process that aims to enhance a government’s ability to simplify all the processes that may involve government, citizens, businesses, and so on. The rapid evolution of digital technologies has often created the necessity for the esta... Read More about GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture.

Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach (2022)
Presentation / Conference Contribution
Zhang, J., Sun, J., Gan, J., Liu, Q., & Liu, X. (2021, October). Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach. Presented at The 6th IEEE Cyber Science and Technology Congress (2021) (CyberSciTech 2021), AB, Canada [Online]

The past decade have seen a growth in Internet technology, the overlap of cyberspace and social space provides great convenience for people's life. The in-depth study of non-intrusive load management (NILM) promotes the development of multi-integrati... Read More about Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach.

An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data (2022)
Presentation / Conference Contribution
Wu, Z., Wu, X., Liu, Q., & Liu, X. (2021, October). An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data. Presented at The 6th IEEE Cyber Science and Technology Congress (2021) (CyberSciTech 2021), AB, Canada [Online]

There are more than 10 million new stroke cases worldwide every year, and stroke has become one of the main causes of death and disability. In recent years, with the rapid development of computer science and technology, through the combination of Int... Read More about An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data.

SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks (2022)
Journal Article
Farooq, M., Wang, X., Hawbani, A., Zhao, L., Al-Dubai, A., & Busaileh, O. (2023). SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 22(8), 4912-4929. https://doi.org/10.1109/TMC.2022.3158695

In wireless sensor networks (WSNs), it is inappropriate to use conventional unicast routing due to the broadcast storm problem and spatial diversity of communication links. Opportunistic Routing (OR) benefits the low duty-cycled WSNs by prioritizing... Read More about SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks.

FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity (2022)
Journal Article
Zhou, Y., Huang, K., Cheng, C., Wang, X., Hussain, A., & Liu, X. (2023). FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity. IEEE Transactions on Neural Networks and Learning Systems, 34(9), 6515 - 6529. https://doi.org/10.1109/tnnls.2022.3143554

AdaBelief, one of the current best optimizers, demonstrates superior generalization ability over the popular Adam algorithm by viewing the exponential moving average of observed gradients. AdaBelief is theoretically appealing in which it has a data-d... Read More about FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity.

Personalized wearable electrodermal sensing-based human skin hydration level detection for sports, health and wellbeing (2022)
Journal Article
Liaqat, S., Dashtipour, K., Rizwan, A., Usman, M., Shah, S. A., Arshad, K., Assaleh, K., & Ramzan, N. (2022). Personalized wearable electrodermal sensing-based human skin hydration level detection for sports, health and wellbeing. Scientific Reports, 12(1), Article 3715. https://doi.org/10.1038/s41598-022-07754-8

Personalized hydration level monitoring play vital role in sports, health, wellbeing and safety of a person while performing particular set of activities. Clinical staff must be mindful of numerous physiological symptoms that identify the optimum hyd... Read More about Personalized wearable electrodermal sensing-based human skin hydration level detection for sports, health and wellbeing.

Sensitivity-Aware Configurations for High Packet Generation Rate LoRa Networks (2022)
Presentation / Conference Contribution
Alahmadi, H., Bouabdallah, F., Ghaleb, B., & Al-Dubai, A. (2021, December). Sensitivity-Aware Configurations for High Packet Generation Rate LoRa Networks. Presented at 20th International Conference on Computer and Information Technology (CIT-2021), London

In this paper, we introduce Sensitivity-Aware LoRa Configuration (SAL), a new algorithm for efficient autonomous and distributed selection of LoRa physical layer transmission parameters. The aim is to address the limitations of the currently adopted... Read More about Sensitivity-Aware Configurations for High Packet Generation Rate LoRa Networks.

A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours (2022)
Presentation / Conference Contribution
Milosheva, M., Hall, H., Robertson, P., & Cruickshank, P. (2022, February). A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours. Presented at iConference 2022, Online

In the information-rich post-pandemic employment environment, young people's career success is predicated on the extent to which they can apply career information to their career decision-making and career development learning processes. Taking heed... Read More about A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours.