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Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring (2022)
Presentation / Conference Contribution
Tashu, T. M., & Horváth, T. (2022, November). Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring. Presented at 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Manchester

Automatic essay scoring (AES) models based on neural networks (NN) have had a lot of success. However, research has shown that NN-based AES models have robustness issues, such that the output of a model changes easily with small changes in the input.... Read More about Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring.

Solving Multi-class Imbalance Problems Using Improved Tabular GANs (2022)
Presentation / Conference Contribution
Farou, Z., Kopeikina, L., & Horváth, T. (2022, November). Solving Multi-class Imbalance Problems Using Improved Tabular GANs. Presented at 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Manchester

Multi-class imbalance problems are non-standard derivative data science problems. These problems are associated with the skewness in the data underlying distribution, which, in turn, raises numerous issues for conventional machine learning techniques... Read More about Solving Multi-class Imbalance Problems Using Improved Tabular GANs.

An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant (2022)
Journal Article
Jemmali, M., Bashir, A. K., Boulila, W., Melhim, L. K. B., Jhaveri, R. H., & Ahmad, J. (2023). An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant. IEEE Transactions on Intelligent Transportation Systems, 24(12), 15633 - 15641. https://doi.org/10.1109/tits.2022.3219568

Nowadays, developing environmental solutions to ensure the preservation and sustainability of natural resources is one of the core research topics for providing a better life quality. Using renewable energy sources, such as solar energy, is one of th... Read More about An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant.

An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning (2022)
Journal Article
Wouda, N. A., Aslan, A., & Vis, I. F. (2023). An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning. Computers and Operations Research, 151, Article 106089. https://doi.org/10.1016/j.cor.2022.106089

Personalised learning offers an alternative method to one-size-fits-all education in schools, and has seen increasing adoption over the past several years. Personalised learning’s focus on learner-driven education requires novel scheduling methods. I... Read More about An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning.

DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation (2022)
Journal Article
Li, J., Gao, G., Yang, L., Liu, Y., & Yu, H. (2022). DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation. Electronics, 11(22), Article 3810. https://doi.org/10.3390/electronics11223810

The deterioration of numerous eye diseases is highly related to the fundus retinal structures, so the automatic retinal vessel segmentation serves as an essential stage for efficient detection of eye-related lesions in clinical practice. Segmentation... Read More about DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation.

Long run productivity and profitability in the British bus industry (2022)
Journal Article
Cowie, J. (2023). Long run productivity and profitability in the British bus industry. Research in Transportation Business & Management, 46, Article 100911. https://doi.org/10.1016/j.rtbm.2022.100911

The passing of the Transport Act 1985 deregulated and privatised the bus industry in Great Britain outside of London, however failed to address the prime specified aim of reversing the long run decline in patronage. Review of the literature suggests... Read More about Long run productivity and profitability in the British bus industry.

From a network model to a model network: strategies for network development to narrow the LIS research–practice gap (2022)
Journal Article
Hall, H., Ryan, B. M., Salzano, R., & Stephen, K. (2023). From a network model to a model network: strategies for network development to narrow the LIS research–practice gap. Journal of Documentation, 79(3), 757-783. https://doi.org/10.1108/JD-04-2022-0088

Purpose The purpose of the empirical study was to examine whether strategies shown to work well in one model of network development for library and information science (LIS) practitioners and researchers could be applied successfully in the developm... Read More about From a network model to a model network: strategies for network development to narrow the LIS research–practice gap.

France’s plan for solar panels on all car parks is just the start of an urban renewable revolution (2022)
Digital Artefact
Ryan, D. (2022). France’s plan for solar panels on all car parks is just the start of an urban renewable revolution. [Blog post]

France has approved legislation that will require all car parks with more than 80 spaces to be covered over by solar panels. This is part of a wider programme that will see solar panels occupy derelict lots, vacant land alongside roads and railways,... Read More about France’s plan for solar panels on all car parks is just the start of an urban renewable revolution.

Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study (2022)
Journal Article
Muneer, T., Gul, M. S., & Alam, M. (2022). Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study. Energies, 15(22), Article 8609. https://doi.org/10.3390/en15228609

With reference to energy generation, the global society has to urgently address three factors that are now critical: sustainability in terms of climate change, security in terms of the war that is currently raging in Europe with consequences that are... Read More about Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study.

Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications (2022)
Journal Article
Sun, D., Saw, L., Onyianta, A., 'rourke, Lu, Z., Wilson, C., See, C. H., Popescu, C., Dorris, M., & Shyha, I. (2022). Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications. Materials, Methods & Technologies, 16, 149-159

With the rapid development of wearable technology, flexible dielectric materials with environmental-friendly, low-cost and high-energy efficiency characteristics are in increasing demand. In this work, a flexible dielectric nanocomposite was develope... Read More about Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications.

Engaging the Owner Occupier towards a Net Zero future via a Persona Modelling Framework (2022)
Presentation / Conference Contribution
Morton, A., Rowlatt, J., Reeves, A., & Brown, N. (2022, November). Engaging the Owner Occupier towards a Net Zero future via a Persona Modelling Framework. Poster presented at BECC 2022, Washington, DC

The U.K. government commissions an annual English Housing Survey and then uses Acorn consumer classification software to produce 5 personae to plan policy around. However, they do not create tailored engagement plans to enact them, rather they follow... Read More about Engaging the Owner Occupier towards a Net Zero future via a Persona Modelling Framework.

The ‘Portfolio MOT/service’ framework: Presentation & Workshop (2022)
Presentation / Conference Contribution
Mortimer, J. (2022, November). The ‘Portfolio MOT/service’ framework: Presentation & Workshop. Presented at Educating Animators Conference 2022, University of Salford

In this interactive session Jonathan will be presenting a Learner centred framework for student self-review and reflection of skills appreciation, for those wishing to pursue a career in the animation or games sectors. The purpose of this framework i... Read More about The ‘Portfolio MOT/service’ framework: Presentation & Workshop.

The use of alternative building technologies as a sustainable affordable housing solution: perspectives from South Africa (2022)
Journal Article
Adetooto, J., Windapo, A., & Pomponi, F. (online). The use of alternative building technologies as a sustainable affordable housing solution: perspectives from South Africa. Journal of Engineering, Design and Technology, https://doi.org/10.1108/jedt-05-2022-0257

Purpose This study aims to evaluate the perception of the local experts and end users on the drivers, barriers and strategies to the use of alternative building technologies (ABTs), with a focus on sandbag building technologies (SBTs) in the provisi... Read More about The use of alternative building technologies as a sustainable affordable housing solution: perspectives from South Africa.

Circuit Modelling of Broadband Antenna Using Vector Fitting and Foster Form Approaches for IoT Applications (2022)
Journal Article
Ez-zaki, F., Belaid, K. A., Ahmad, S., Belahrach, H., Ghammaz, A., Al-Gburi, A. J. A., & Parachin, N. O. (2022). Circuit Modelling of Broadband Antenna Using Vector Fitting and Foster Form Approaches for IoT Applications. Electronics, 11(22), Article 3724. https://doi.org/10.3390/electronics11223724

Computation of the broadband antenna impedance behavior requires the wideband lumped equivalent circuit. This work aims to provide a comprehensive study of broadband antenna equivalent circuit models over broad frequency ranges for Internet of Things... Read More about Circuit Modelling of Broadband Antenna Using Vector Fitting and Foster Form Approaches for IoT Applications.

Effects of Processing Strategies and La + Sm Co-Doping on the Thermoelectric Performance of A-Site-Deficient SrTiO3-δ Ceramics (2022)
Journal Article
Iyasara, A. C., Lu, Z., Schmidt, W. L., Sinclair, D. C., & Reaney, I. M. (2022). Effects of Processing Strategies and La + Sm Co-Doping on the Thermoelectric Performance of A-Site-Deficient SrTiO3-δ Ceramics. Crystals, 12(11), Article 1622. https://doi.org/10.3390/cryst12111622

The effect of calcining in either air (VSTO-A) or 5% H2/N2 (VSTO-H) on the thermoelectric performance of La and Sm co-doped A-site-deficient Sr1-3x/2Lax/2Smx/2TiO3-δ ceramics is reported. All calcined powders were sintered 6 h in 5% H2/N2 at 1773 K t... Read More about Effects of Processing Strategies and La + Sm Co-Doping on the Thermoelectric Performance of A-Site-Deficient SrTiO3-δ Ceramics.

Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations (2022)
Presentation / Conference Contribution
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022, November). Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations. Presented at 24th International Conference on Principles and Practice of Multi-Agent Systems, Valencia, Spain

Cause-effect graphs have been applied in non agent-based simulations, where they are used to model chained causal relations between input parameters and system behaviour measured by appropriate indicators. This can be useful for the analysis and inte... Read More about Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.

Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things (2022)
Journal Article
Hasan, A., Khan, M. A., Shabir, B., Munir, A., Malik, A. W., Anwar, Z., & Ahmad, J. (2022). Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things. Applied Sciences, 12(22), Article 11442. https://doi.org/10.3390/app122211442

The internet of things (IoT) is prone to various types of denial of service (DoS) attacks due to their resource-constrained nature. Extensive research efforts have been dedicated to securing these systems, but various vulnerabilities remain. Notably,... Read More about Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things.

Q-learning driven routing for aeronautical Ad-Hoc networks (2022)
Journal Article
Bilen, T., & Canberk, B. (2022). Q-learning driven routing for aeronautical Ad-Hoc networks. Pervasive and Mobile Computing, 87, Article 101724. https://doi.org/10.1016/j.pmcj.2022.101724

The aeronautical ad-hoc network (AANET) is one of the critical methodologies to satisfy the Internet connectivity requirement of airplanes during their flights. However, the ultra-dynamic topology and unstable air-to-air link characteristics increase... Read More about Q-learning driven routing for aeronautical Ad-Hoc networks.

Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study (2022)
Journal Article
Lin, H., Chan, C., Wiratama, B. S., Chen, P., Wang, M., Chao, C., Saleh, W., Huang, H., & Pai, C. (2022). Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study. BMC Public Health, 22(1), Article 2059. https://doi.org/10.1186/s12889-022-14402-3

Background: Most studies have focused on injuries sustained by intoxicated drivers themselves, but few have examined the effect of drunk driving on injury outcomes among VRUs (vulnerable road users) in developing countries. This study aims to evaluat... Read More about Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study.