All Outputs (840)

Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment (2023)
Journal Article
Mazumdar, S., Qi, J., Thakker, D., & Goodchild, B. (2023). Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment. International Journal of E-Planning Research, 12(1), 1-40. https://doi.org/10.4018/IJEPR.326126

The planning process in the UK is a highly complex system, developed over many decades, and is in the process of rapid transitions into digital planning. Among these transformations is a desire to move from an outputs-based assessment to an outcomes-... Read More about Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment.

Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients (2023)
Journal Article
Saleem, O., & Iqbal, J. (2023). Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients. Measurement and Control, https://doi.org/10.1177/00202940231189504

Type-I Diabetes (TID) is a chronic autoimmune disease that elevates the glucose levels in the patient’s bloodstream. This paper formulates a fractional complex-order Proportional-Integral-Derivative (PID) control strategy for robust Blood Glucose (BG... Read More about Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients.

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.

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.

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.

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.

Event prediction with rough-fuzzy sets (2022)
Journal Article
Chakraborty, D. B., & Yao, J. T. (2023). Event prediction with rough-fuzzy sets. Pattern Analysis and Applications, 26(2), 691-701. https://doi.org/10.1007/s10044-022-01119-7

This article proposes a new methodology of unsupervised event prediction from videos. Detecting events from videos without prior information is a challenging task, as there are no well-accepted definitions about events in a video. It is commonly know... Read More about Event prediction with rough-fuzzy sets.

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.

A Slenderness-Based Method for Web Crippling Design of Aluminum Tubular Sections (2022)
Journal Article
Bock, M., Gupta, S., Hassanein, M. F., & Sheng, Y. (2022). A Slenderness-Based Method for Web Crippling Design of Aluminum Tubular Sections. Journal of Structural Engineering, 148(12), https://doi.org/10.1061/JSENDH/STENG-11796

Existing web crippling design provisions available in European, American, and Australian/New Zealand standards are based on empiric equations that differ from the approach adopted for the treatment of other instabilities such as local or overall buck... Read More about A Slenderness-Based Method for Web Crippling Design of Aluminum Tubular Sections.

Frailty Assessment in UK and Irish Vascular Centres (FAVE): A survey to investigate data collection methods and impact on clinical practice (2022)
Journal Article
Hitchman, L. H., Palmer, J., Lathan, R., Totty, J., Smith, G. E., Carradice, D., & Chetter, I. C. (in press). Frailty Assessment in UK and Irish Vascular Centres (FAVE): A survey to investigate data collection methods and impact on clinical practice. Journal of Vascular Societies Great Britain and Ireland,

Environmental and technical impacts of floating photovoltaic plants as an emerging clean energy technology (2022)
Journal Article
Pouran, H. M., Padilha Campos Lopes, M., Nogueira, T., Alves Castelo Branco, D., & Sheng, Y. (2022). Environmental and technical impacts of floating photovoltaic plants as an emerging clean energy technology. iScience, 25(11), Article 105253. https://doi.org/10.1016/j.isci.2022.105253

Floating photovoltaic (FPV) plants present several benefits in comparison with ground-mounted photovoltaics (PVs) and could have major positive environmental and technical impacts globally. FPVs do not occupy habitable and productive areas and can be... Read More about Environmental and technical impacts of floating photovoltaic plants as an emerging clean energy technology.

Evaluating floating photovoltaics (FPVs) potential in providing clean energy and supporting agricultural growth in Vietnam (2022)
Journal Article
Pouran, H., Padilha Campos Lopes, M., Ziar, H., Alves Castelo Branco, D., & Sheng, Y. (2022). Evaluating floating photovoltaics (FPVs) potential in providing clean energy and supporting agricultural growth in Vietnam. Renewable & sustainable energy reviews, 169, Article 112925. https://doi.org/10.1016/j.rser.2022.112925

Vietnam's promising economic growth has led to energy shortage, growing coal imports, and increasing carbon emissions. The country's electricity demand annual growth rate has been 12% in recent years and is projected to be 8–9% by 2030. In Vietnam 40... Read More about Evaluating floating photovoltaics (FPVs) potential in providing clean energy and supporting agricultural growth in Vietnam.

FedMSA: A Model Selection and Adaptation System for Federated Learning (2022)
Journal Article
Sun, R., Li, Y., Shah, T., Sham, R. W., Szydlo, T., Qian, B., Thakker, D., & Ranjan, R. (2022). FedMSA: A Model Selection and Adaptation System for Federated Learning. Sensors, 22(19), Article 7244. https://doi.org/10.3390/s22197244

Federated Learning (FL) enables multiple clients to train a shared model collaboratively without sharing any personal data. However, selecting a model and adapting it quickly to meet user expectations in a large-scale FL application with heterogeneou... Read More about FedMSA: A Model Selection and Adaptation System for Federated Learning.

The role of ‘living laboratories’ in accelerating the energy system decarbonization (2022)
Journal Article
Fan, Z., Cao, J., Jamal, T., Fogwill, C., Samende, C., Robinson, Z., Polack, F., Ormerod, M., George, S., Peacock, A., & Healey, D. (2022). The role of ‘living laboratories’ in accelerating the energy system decarbonization. Energy Reports, 8, 11858-11864. https://doi.org/10.1016/j.egyr.2022.09.046

To decarbonize the energy system by the year 2050, it is crucial that innovations are trialled in a ‘real world’ setting for the purpose of increasing public adoption and support, and for providing insights to decision-makers to ensure their decision... Read More about The role of ‘living laboratories’ in accelerating the energy system decarbonization.

Keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring (2022)
Presentation / Conference Contribution
Farhad, A. H., Sorokos, I., Schmidt, A., Akram, M. N., Aslansefat, K., & Schneider, D. (2022, September). Keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring. Presented at Model-Based Safety and Assessment, 8th International Symposium, IMBSA 2022, Munich, Germany

Machine Learning (ML) has provided promising results in recent years across different applications and domains. However, in many cases, qualities such as reliability or even safety need to be ensured. To this end, one important aspect is to determine... Read More about Keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring.