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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.

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.

What China’s Environmental Policy Means for PV Solar, Electric Vehicles, and Carbon Capture and Storage Technologies (2022)
Journal Article
Pouran, H. M., Karimi, S. M., Padilha Campos Lopes, M., & Sheng, Y. (2022). What China’s Environmental Policy Means for PV Solar, Electric Vehicles, and Carbon Capture and Storage Technologies. Energies, 15(23), Article 9037. https://doi.org/10.3390/en15239037

This perspective paper elaborates on how the burden of environmental issues on public health and the economy led China’s government to declare its revised environmental policies or “war on pollution”. It explains the importance of photovoltaic solar... Read More about What China’s Environmental Policy Means for PV Solar, Electric Vehicles, and Carbon Capture and Storage Technologies.

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.

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., …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 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.

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.

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., …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.

Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines (2022)
Journal Article
Chatterjee, J., & Dethlefs, N. (2022). Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines. IEEE Access, 10, 84710-84737. https://doi.org/10.1109/ACCESS.2022.3197167

Intelligent question-answering (QA) systems have witnessed increased interest in recent years, particularly in their ability to facilitate information access, data interpretation or decision support. The wind energy sector is one of the most promisin... Read More about Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines.

Characterization and calibration of multiple 2D laser scanners (2022)
Journal Article
Riaz un Nabi Jafri, S., Shamim, S., Faraz, S. M., Ahmed, A., Yasir, S. M., & Iqbal, J. (2022). Characterization and calibration of multiple 2D laser scanners. PLoS ONE, 17(7), Article e0272063. https://doi.org/10.1371/journal.pone.0272063

This paper presents the comparative evaluation of multiple compact and lightweight 2D laser scanners for their possible backpack based scanning and mapping applications. These scanners include Hokuyo URG-04LX, Slamtec RPLidar A1-M8 and Hokuyo UTM- 30... Read More about Characterization and calibration of multiple 2D laser scanners.

Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure (2022)
Journal Article
Kazmi, S., Kambhampati, C., Cleland, J., Cuthbert, J., Kazmi, K. S., Pellicori, P., …Clark, A. L. (2022). Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure. ESC Heart Failure, https://doi.org/10.1002/ehf2.14028

Aims: Risk changes with the progression of disease and the impact of treatment. We developed a dynamic risk stratification Markov chain model using artificial intelligence in patients with chronic heart failure (CHF). Methods and results: We describe... Read More about Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure.

Facilitating a smoother transition to renewable energy with AI (2022)
Journal Article
Chatterjee, J., & Dethlefs, N. (2022). Facilitating a smoother transition to renewable energy with AI. Patterns, 3(6), Article 100528. https://doi.org/10.1016/j.patter.2022.100528

Artificial intelligence (AI) can help facilitate wider adoption of renewable energy globally. We organized a social event for the AI and renewables community to discuss these aspects at the International Conference on Learning Representations (ICLR),... Read More about Facilitating a smoother transition to renewable energy with AI.

Learning Analytics and Deep Learning in Large Virtual Learning Environments (VLEs) (2022)
Journal Article
Wechie, N., Brayshaw, M., & Gordon, N. (2022). Learning Analytics and Deep Learning in Large Virtual Learning Environments (VLEs). International Journal on Engineering Technologies and Informatics, 3(1), 1-3. https://doi.org/10.51626/ijeti.2022.03.00029

In this paper we look at the use of Deep Learning as a technique for Education Data Mining and Learnng Analytics. We discuss existing approaches and how Deep Learning can be used in a complimentary manner in order to provide new and insightful perspe... Read More about Learning Analytics and Deep Learning in Large Virtual Learning Environments (VLEs).

Extended grey wolf optimization–based adaptive fast nonsingular terminal sliding mode control of a robotic manipulator (2022)
Journal Article
Rezoug, A., Iqbal, J., & Tadjine, M. (2022). Extended grey wolf optimization–based adaptive fast nonsingular terminal sliding mode control of a robotic manipulator. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, https://doi.org/10.1177/09596518221099768

This article proposes a novel hybrid metaheuristic technique based on nonsingular terminal sliding mode controller, time delay estimation method, an extended grey wolf optimization algorithm and adaptive super twisting control law. The fast convergen... Read More about Extended grey wolf optimization–based adaptive fast nonsingular terminal sliding mode control of a robotic manipulator.

Locally fitting hyperplanes to high-dimensional data (2022)
Journal Article
Hou, M., & Kambhampati, C. (2022). Locally fitting hyperplanes to high-dimensional data. Neural Computing and Applications, 34(11), 8885-8896. https://doi.org/10.1007/s00521-022-06909-y

Problems such as data compression, pattern recognition and artificial intelligence often deal with a large data sample as observations of an unknown object. An effective method is proposed to fit hyperplanes to data points in each hypercubic subregio... Read More about Locally fitting hyperplanes to high-dimensional data.