Outputs (51)

Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images (2022)
Journal Article
Quintero, P., Benoit, D., Cheng, Y., Moore, C., & Beavis, A. (2022). Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images. Physics in Medicine and Biology, 67(24), Article 245001. https://doi.org/10.1088/1361-6560/aca38a

Machine learning (ML) methods have been implemented in radiotherapy to aid virtual specific-plan verification protocols, predicting gamma passing rates (GPR) based on calculated modulation complexity metrics because of their direct relation to dose d... Read More about Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images.

Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective (2022)
Journal Article
Al-Qora’n, L., Salem, O. A. S., & Gordon, N. (2022). Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective. Computers, 11(12), Article 175. https://doi.org/10.3390/computers11120175

The way that education is delivered changed significantly during the COVID-19 pandemic to be completely online in many countries for many institutions. Despite the fact that they are not online teaching platforms, virtual meeting platforms were utili... Read More about Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective.

A novel approach for 3D discrete element modelling the progressive delamination in unidirectional CFRP composites (2022)
Journal Article
Wan, L., Sheng, Y., McCarthy, E. D., & Yang, D. (2023). A novel approach for 3D discrete element modelling the progressive delamination in unidirectional CFRP composites. Engineering Fracture Mechanics, 277, Article 108982. https://doi.org/10.1016/j.engfracmech.2022.108982

This study proposed a novel approach based on the 3D discrete element method (DEM) to simulate the progressive delamination in unidirectional carbon fibre reinforced polymer (CFRP) composite laminates. A hexagonal packing strategy was used for modell... Read More about A novel approach for 3D discrete element modelling the progressive delamination in unidirectional CFRP composites.

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging (2022)
Journal Article
Ahmad, A., Khalid, M., Ullah, Z., Ahmad, N., Aljaidi, M., Malik, F. A., & Manzoor, U. (2022). Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging. Energies, 15(24), Article 9471. https://doi.org/10.3390/en15249471

The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs... Read More about Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging.

Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device (2022)
Journal Article
Jenner, L. C., Kureshi, R. R., White, D., Chapman, E., Sadofsky, L. R., & Rotchell, J. M. (2022). Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device. Atmosphere, 13(12), Article 2017. https://doi.org/10.3390/atmos13122017

Atmospheric microplastics (MPs) are a ubiquitous environmental contaminant of emerging concern. Sampling methods provide information relating to surface area concentration and MP characteristics, without direct comparison with routinely measured stan... Read More about Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device.

Deep reinforcement learning-based long-range autonomous valet parking for smart cities (2022)
Journal Article
Khalid, M., Wang, L., Wang, K., Aslam, N., Pan, C., & Cao, Y. (2023). Deep reinforcement learning-based long-range autonomous valet parking for smart cities. Sustainable Cities and Society SCC, 89, Article 104311. https://doi.org/10.1016/j.scs.2022.104311

In this paper, to reduce the congestion rate at the city center and increase the traveling quality of experience (QoE) of each user, the framework of long-range autonomous valet parking is presented. Here, an Autonomous Vehicle (AV) is deployed to pi... Read More about Deep reinforcement learning-based long-range autonomous valet parking for smart cities.

Creating a Classification Module to Analysis the Usage of Mobile Health Apps (2022)
Journal Article
Azuma, K., Al Jaber, T., & Gordon, N. (2022). Creating a Classification Module to Analysis the Usage of Mobile Health Apps. Acta Scientific Computer Sciences, 4(12), 34-42

With an ageing society becoming a major issue for many countries, health-related concerns are growing and mobile health applications (MHAs) are rapidly gaining users. The applications available range from those that promote exercise to maintain healt... Read More about Creating a Classification Module to Analysis the Usage of Mobile Health Apps.

Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator (2022)
Journal Article
Wright, D., Ma, X., Atkin, W., Wang, L., Fagan, M., & Wellbelove, Z. (2022). Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator. International Journal of Healthcare Simulation, 2(1), A86. https://doi.org/10.54531/QOJS8275

Fibreoptic intubation training has traditionally been performed using real fibreoptic scopes and manikins or improvised airway ‘boxes’, recently progressing to virtual reality training devices [1]. The latter are populated with computer generated ima... Read More about Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator.

Linking sustainability and spirituality: a preliminary assessment in pursuit of a sustainable and ethically correct world (2022)
Journal Article
Leal Filho, W., Salvia, A. L., Ulluwishewa, R., Abubakar, I. R., Mifsud, M., LeVasseur, T. J., Correia, V., McCrea, A., Consorte-McCrea, A., do Paço, A., Paço, A., Fritzen, B., Ray, S., Gordon, N., Luetz, J., Luetz, J. M., Borsari, B., Venkatesan, M., Mukul, S., Mukul, S. A., …Farrugia, E. (2022). Linking sustainability and spirituality: a preliminary assessment in pursuit of a sustainable and ethically correct world. Journal of cleaner production, 380, Article 135091. https://doi.org/10.1016/j.jclepro.2022.135091

The influence of humanity on the environment and the use of natural resources may be affected by spirituality, through awareness for developing a greater conscience about the implications of human actions and needs to adjust these in achieving sustai... Read More about Linking sustainability and spirituality: a preliminary assessment in pursuit of a sustainable and ethically correct world.

A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks (2022)
Presentation / Conference Contribution
Dutta, K. K., Dewan, A., & Gunturi, V. M. (2022, November). A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks. Presented at Web Information Systems Engineering – WISE 2022, Biarritz, France

The constrained path optimization (CPO) problem takes the following input: (a) a road network represented as a directed graph, where each edge is associated with a “cost” and a “score” value; (b) a source-destination pair and; (c) a budget value, whi... Read More about A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks.