Outputs (98)

What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework (2021)
Presentation / Conference Contribution
Ani, U., & Watson, J. What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework. Presented at 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Online

The convergence of Industrial Control System (ICS) with Information Technologies (IT) coupled with the resulting and widely publicized cyber security incidents have made ICS security and resilience issues of critical concern to operators and governme... Read More about What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework.

Bayesian inversion for anisotropic hydraulic phase-field fracture (2021)
Journal Article
Noii, N., Khodadadian, A., & Wick, T. (2021). Bayesian inversion for anisotropic hydraulic phase-field fracture. Computer Methods in Applied Mechanics and Engineering, 386, Article 114118. https://doi.org/10.1016/j.cma.2021.114118

In this work, we employ a Bayesian inversion framework to fluid-filled phase-field fracture. We develop a robust and efficient numerical algorithm for hydraulic phase-field fracture toward transversely isotropic and orthotropy anisotropic fracture. I... Read More about Bayesian inversion for anisotropic hydraulic phase-field fracture.

Evaluating the clinical decision making of physiotherapists in the assessment and management of paediatric shoulder instability (2021)
Journal Article
Philp, F., Faux-Nightingale, A., Woolley, S., de Quincey, E., & Pandyan, A. (2022). Evaluating the clinical decision making of physiotherapists in the assessment and management of paediatric shoulder instability. Physiotherapy (de Gruyter), 115, 46-57. https://doi.org/10.1016/j.physio.2021.12.330

Objective To elicit what information and clinical decision-making processes physiotherapists use in the assessment and management of paediatric shoulder instability.

Design Qualitative study. A modified nominal focus group technique, involving thr... Read More about Evaluating the clinical decision making of physiotherapists in the assessment and management of paediatric shoulder instability.

User-Centred Guidelines for the Design of Curriculum Analytics Dashboards (2021)
Book Chapter
de Quincey, E., & Parker, M. (2021). User-Centred Guidelines for the Design of Curriculum Analytics Dashboards. . Springer. https://doi.org/10.1007/978-3-030-81222-5_23

This chapter reports an investigation into the use of learning data to inform annual curriculum/module review and the curriculum development process. Utilising a user-centred design approach to understand current processes and stakeholders needs, 41... Read More about User-Centred Guidelines for the Design of Curriculum Analytics Dashboards.

Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification (2021)
Journal Article
Mishra, S. S., Mandal, B., & Puhan, N. B. (2022). Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification. IEEE Transactions on Artificial Intelligence, 3(4), 625-635. https://doi.org/10.1109/tai.2021.3135797

In this article, we propose a deep architecture stemming from a perturbed composite attention mechanism with the following two novel attention modules: Multilevel perturbed spatial attention (MPSA) and multidimension attention (MDA) for macular optic... Read More about Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification.

An Experimental Performance Evaluation of Cloud-API-Based Applications (2021)
Journal Article
Abuzrieq, Y., Al-Said Ahmad, A., & Younes, M. (2021). An Experimental Performance Evaluation of Cloud-API-Based Applications. Future Internet, 314 - 314. https://doi.org/10.3390/fi13120314

Cloud Application Programming Interfaces (APIs) have been developed to link several cloud computing applications together. API-based applications are widely used to provide flexible and reliable services over cloud platforms. Recently, a huge number... Read More about An Experimental Performance Evaluation of Cloud-API-Based Applications.

Deep Learning based Emotion Classification with Temporal Pupillometry Sequences (2021)
Presentation / Conference Contribution
Rafique, S., Kanwal, N., Samar Ansari, M., Asghar, M., & Akhtar, Z. (2021, December). Deep Learning based Emotion Classification with Temporal Pupillometry Sequences. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

In the recent era, automatic systems are the necessity of science. Systems for recognizing human emotions have gained popularity in various areas of knowledge specifically psychologists and psycho-physiologists. The interaction of the human-computer... Read More about Deep Learning based Emotion Classification with Temporal Pupillometry Sequences.

Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset (2021)
Presentation / Conference Contribution
Mohammed, Z., Asghar, M., & Kanwal, N. (2021, December). Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

Flight cancellations can be caused by many factors, including adverse weather conditions, and can result in lost money and time, etc. The COVID-19 pandemic has significantly exacerbated this situation, leading to a significant decrease in air travel.... Read More about Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset.

Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection (2021)
Journal Article
Ledger. (2021). Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection. IEEE Sensors Journal, 2430-2446. https://doi.org/10.1109/JSEN.2021.3133950

Magnetic polarizability tensors (MPTs) have become popular for characterising conducting permeable objects and assisting with the identification of hidden objects in metal detection for applications in security screening, humanitarian demining and sc... Read More about Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection.

Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters (2021)
Presentation / Conference
Briggs, C., Fan, Z., & Andras, P. (2021, December). Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. Poster presented at NeurIPS 2020 Workshop Tackling Climate Change with Machine Learning

In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High resolution smart meter data can expose many private aspects of a consumer's ho... Read More about Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters.