Outputs (122)

Optimal load and energy management of aircraft microgrids using multi-objective model predictive control (2021)
Journal Article
Wang, X., Atkin, J., Bazmohammadi, N., Bozhko, S., & Guerrero, J. M. (2021). Optimal load and energy management of aircraft microgrids using multi-objective model predictive control. Sustainability, 13(24), Article 13907. https://doi.org/10.3390/su132413907

Safety issues related to the electrification of more electric aircraft (MEA) need to be addressed because of the increasing complexity of aircraft electrical power systems and the growing number of safety-critical sub-systems that need to be powered.... Read More about Optimal load and energy management of aircraft microgrids using multi-objective model predictive control.

International data governance for neuroscience (2021)
Journal Article
Eke, D. O., Bernard, A., Bjaalie, J. G., Chavarriaga, R., Hanakawa, T., Hannan, A. J., Hill, S. L., Martone, M. E., McMahon, A., Ruebel, O., Crook, S., Thiels, E., & Pestilli, F. (2022). International data governance for neuroscience. Neuron, 110(4), 600-612. https://doi.org/10.1016/j.neuron.2021.11.017

As neuroscience projects increase in scale and cross international borders, different ethical principles, national and international laws, regulations, and policies for data sharing must be considered. These concerns are part of what is collectively... Read More about International data governance for neuroscience.

A Constrained Parametric Approach for Modeling Uncertain Data (2021)
Journal Article
D'Alterio, P., Garibaldi, J., & Wagner, C. (2022). A Constrained Parametric Approach for Modeling Uncertain Data. IEEE Transactions on Fuzzy Systems, 30(9), 3967-3978. https://doi.org/10.1109/tfuzz.2021.3134797

Data obtained from the real-world tends to be uncertain: Measurement inaccuracies, variability in opinions, and human errors are just some of the reasons that make the information collection process noisy. In recent years, fuzzy sets have been used t... Read More about A Constrained Parametric Approach for Modeling Uncertain Data.

Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester (2021)
Journal Article
Akintoye, S., Ogoh, G., Krokida, Z., Nnadi, J., & Eke, D. (2021). Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester. Journal of Information, Communication and Ethics in Society, 19(4), 521-536. https://doi.org/10.1108/jices-06-2021-0071

Purpose: Digital contact tracing technologies are critical to the fight against COVID-19 in many countries including the UK. However, a number of ethical, legal and socio-economic concerns that can affect uptake of the app have been raised. The purpo... Read More about Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester.

Distributed Spatial-Temporal Demand and Topology Aware Resource Provisioning for Edge Cloud Services (2021)
Presentation / Conference Contribution
Huynh, V. S. H., Radenkovic, M., & Wang, N. (2021, December). Distributed Spatial-Temporal Demand and Topology Aware Resource Provisioning for Edge Cloud Services. Presented at 2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC), Gandia, Spain

Current edge cloud providers offer a wide range of on-demand private and public cloud services for customers. Predictive demand monitoring and supply optimisation are necessary to deliver truly elastic distributed edge cloud services with resizable r... Read More about Distributed Spatial-Temporal Demand and Topology Aware Resource Provisioning for Edge Cloud Services.

Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis (2021)
Journal Article
Laparidou, D., Curtis, F., Akanuwe, J., Goher, K., Niroshan Siriwardena, A., & Kucukyilmaz, A. (2021). Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 181. https://doi.org/10.1186/s12984-021-00976-3

Background: In recent years, robotic rehabilitation devices have often been used for motor training. However, to date, no systematic reviews of qualitative studies exploring the end-user experiences of robotic devices in motor rehabilitation have bee... Read More about Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.

The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review (2021)
Journal Article
Majid, S., Reeves, S., Figueredo, G., Brown, S., Lang, A., Moore, M., & Morriss, R. (2021). The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review. JMIR Mental Health, 8(12), Article e27991. https://doi.org/10.2196/27991

Background: The number of self-monitoring apps for bipolar disorder (BD) is increasing. The involvement of users in human-computer interaction (HCI) research has a long history and is becoming a core concern for designers working in this space. The a... Read More about The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review.

EHR STAR: The State-Of-the-Art in Interactive EHR Visualization (2021)
Journal Article
Wang, Q., & Laramee, R. S. (2022). EHR STAR: The State-Of-the-Art in Interactive EHR Visualization. Computer Graphics Forum, 41(1), 69-105. https://doi.org/10.1111/cgf.14424

Since the inception of electronic health records (EHR) and population health records (PopHR), the volume of archived digital health records is growing rapidly. Large volumes of heterogeneous health records require advanced visualization and visual an... Read More about EHR STAR: The State-Of-the-Art in Interactive EHR Visualization.

Domain Adaptation of Synthetic Images for Wheat Head Detection (2021)
Journal Article
Hartley, Z. K., & French, A. P. (2021). Domain Adaptation of Synthetic Images for Wheat Head Detection. Plants, 10(12), Article 2633. https://doi.org/10.3390/plants10122633

Wheat head detection is a core computer vision problem related to plant phenotyping that in recent years has seen increased interest as large-scale datasets have been made available for use in research. In deep learning problems with limited training... Read More about Domain Adaptation of Synthetic Images for Wheat Head Detection.

Accessible authentication: Assessing the applicability for users with disabilities (2021)
Journal Article
Furnell, S., Helkala, K., & Woods, N. (2022). Accessible authentication: Assessing the applicability for users with disabilities. Computers and Security, 113, Article 102561. https://doi.org/10.1016/j.cose.2021.102561

Access to the many benefits available from digital technology can often vary depending upon the capabilities and facilities of the individual who is attempting to engage with it. Many digital devices and services require us to be identified and so re... Read More about Accessible authentication: Assessing the applicability for users with disabilities.