All Outputs (214)

Expansive creativity is beyond the visual. (2023)
Presentation / Conference Contribution
BURGOYNE, G. and LEUZZI, L. 2023. Expansive creativity is beyond the visual. In Hurcomb, G., Herring, E., Jackson, J. and Duvallon, V.P. (eds.) Proceedings of the 2023 Teaching beyond the curriculum conference: a focus on pedagogy, 15-17 November 2023, Glasgow, UK; Baton Rouge, USA; Wenzhou, China. Architecture Media Politics Society (AMPS) proceedings series, 36.2. Glasgow: AMPS [online], chapter 27, pages 256-263. Available from: https://amps-research.com/wp-content/uploads/2024/07/Amps-Proceedings-Series-36.2.pdf

Expansive creativity starts with how we navigate language, in its plethora of manifestations and contexts. Increasing hegemonic and unwieldy systems of imposed synchronicities and rationality abound leading to our submergence as opposed to emergence... Read More about Expansive creativity is beyond the visual..

Accelerating grid-based renewable electricity sector transition in Nigeria. (2023)
Presentation / Conference Contribution
ADEDOKUN, R., STRACHAN, P. and SINGH, A. 2023. Accelerating grid-based renewable electricity sector transition in Nigeria. In Montgomery, J. (ed.) Proceedings of the 2023 AMPS (Architecture, media, politics, society) New York - livable cities: a conference on issues affecting life in cities, 14-16 June 2023, New York, USA. AMPS proceedings series, 34.2. New York: AMPS [online], pages 257-268. Available from: https://amps-research.com/wp-content/uploads/2024/04/Amps_Proceedings_Series_34.2.pdf

This paper advances the academic and practice of building urban resilience and sustainable cities by investigating the planning process and governance to identify challenges of on-grid renewable energy deployment across the 36 states of Nigeria. Furt... Read More about Accelerating grid-based renewable electricity sector transition in Nigeria..

Tensile and impact properties of melt-blended nylon 6/ethylene-octene copolymer/graphene oxide nanocomposites. (2023)
Presentation / Conference Contribution
ATTAR, S., CHEN, B., CATALANOTTI, G. and FALZON, B.G. 2023. Tensile and impact properties of melt-blended nylon 6/ethylene-octene copolymer/graphene oxide nanocomposites. In Falzon, B.G. and McCarthy, C. (eds.) Proceedings of the 23rd International conference on composite materials 2023 (ICCM 23), 30 July - 04 August 2023, Belfast, Northern Ireland. Belfast: Queen's University Belfast. Hosted on ICCM-central [online], paper 253. Available from: http://www.iccm-central.org/Proceedings/ICCM23proceedings/index.htm

The addition of stiff nanoparticles to a polymer matrix usually proves beneficial for the enhancement in stiffness and strength, however, the impact strength is usually lowered. Conversely, the use of elastomeric additives can enhance the toughness a... Read More about Tensile and impact properties of melt-blended nylon 6/ethylene-octene copolymer/graphene oxide nanocomposites..

Building time, cost and quality performance of modern methods of construction in a live research project. (2023)
Presentation / Conference Contribution
ATANASOV, V., GREENWOOD, D.J., MADEBWE, T.M. and COX, R. 2023. Building time, cost and quality performance of modern methods of construction in a live research project. In Tutesigensi, A. and Neilson, C.J. (eds.) Proceedings of the 39th Association of Researchers in Construction Management annual conference (ARCOM 2023), 4-6 September 2023, Leeds, UK. London: ARCOM [online], pages 457-466. Available from: https://www.arcom.ac.uk/-docs/archive/2023-Indexed-Papers.pdf

The use of modern methods of construction (MMC) has been embraced by the construction sector of many countries, largely due to assertions that some MMC processes can be economically effective and efficient. MMC have been received as opportunities by... Read More about Building time, cost and quality performance of modern methods of construction in a live research project..

Optimising linear regression for modelling the dynamic thermal behaviour of electrical machines using NSGA-II, NSGA-III and MOEA/D. (2023)
Presentation / Conference Contribution
BANDA, T.M., ZĂVOIANU, A.-C., PETROVSKI, A., WÖCKINGER, D. and BRAMERDORFER, G. 2024. Optimising linear regression for modelling the dynamic thermal behaviour of electrical machines using NSGA-II, NSGA-III and MOEA/D. In Stratulat, S., Marin, M., Negru, V. and Zaharie, D. (eds.) Proceedings of the 25th International symposium on symbolic and numeric algorithms for scientific computing (SYNASC 2023), 11-14 September 2023, Nancy, France. Los Alamitos: IEEE Computer Society [online], pages 186-193. Available from: https://doi.org/10.1109/SYNASC61333.2023.00032

For engineers to create durable and effective electrical assemblies, modelling and controlling heat transfer in rotating electrical machines (such as motors) is crucial. In this paper, we compare the performance of three multi-objective evolutionary... Read More about Optimising linear regression for modelling the dynamic thermal behaviour of electrical machines using NSGA-II, NSGA-III and MOEA/D..

On the role of dialogue models in the age of large language models. (2023)
Presentation / Conference Contribution
WELLS, S. and SNAITH, M. 2023. On the role of dialogue models in the age of large language models. In Grasso, F., Green, N.L., Schneider, J. and Wells, S. (eds.) Proceedings of the 23rd Workshop on computational models of natural argument (CMNA 2023), 3 December 2023, [virtual event]. CEUR workshop proceedings, 3614. Aachen: CEUR-WS [online], pages 49-51. Available from: https://ceur-ws.org/Vol-3614/abstract2.pdf

We argue that Machine learning, in particular the currently prevalent generation of Large Language Models (LLMs), can work constructively with existing normative models of dialogue as exemplified by dialogue games, specifically their computational ap... Read More about On the role of dialogue models in the age of large language models..

An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries. (2023)
Presentation / Conference Contribution
WU, F., WANG, S., LIU, D., CAO, W. and FERNANDEZ, C. 2023. An improved bidirectional gate recurrent unit combined with smoothing filter algorithm for state of energy estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 363-368. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349332

The accurate estimation of state of energy (SOE) is the key to the rational energy distribution of lithium-ion battery based energy storage equipment. This paper proposes an improved bidirectional gate recursive element combined with a time-varying b... Read More about An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries..

An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. (2023)
Presentation / Conference Contribution
ZHU, C., WANG, S., YU, C., HAI, N., FERNANDEZ, C. and SUN, Z. 2023. An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 358-362. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349263

State of Charge (SOC) is one of the key indicators for evaluating the state of electric vehicles. In order to cope with the uncertainty of random noise in nonlinear systems, an improved robust function correction-adaptive extended Kalman filtering (R... Read More about An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries..

An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. (2023)
Presentation / Conference Contribution
WANG, S., HAI, N., YANG, J. and FERNANDEZ, C. 2023. An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 369-372. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349297

The state of charge estimation with high precision plays an important role in the usage of lithium-ion batteries in electronic vehicles. An improved genetic-backpropagation neural network (GA-BPNN) is proposed to predict the state of charge with high... Read More about An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries..

MicroConceptBERT: concept-relation based document information extraction framework. (2023)
Presentation / Conference Contribution
SILVA, K., SILVA, T. and NANAYAKKARA, G. 2023. MicroConceptBERT: concept-relation based document information extraction framework. In Proceedings of the 7th SLAAI (Sri Lanka Association for Artificial Intelligence) International conference on artificial intelligence 2023 (SLAAI-ICAI 2023), 23-24 November 2023, Kelaniya, Sri Lanka. Piscataway: IEEE [online], article number 10365022. Available from: https://doi.org/10.1109...ICAI59257.2023.10365022

Extracting information from documents is a crucial task in natural language processing research. Existing information extraction methodologies often focus on specific domains, such as medicine, education or finance, and are limited by language constr... Read More about MicroConceptBERT: concept-relation based document information extraction framework..

A weighted ensemble of regression methods for gross error identification problem. (2023)
Presentation / Conference Contribution
DOBOS, D., DANG, T., NGUYEN, T.T., MCCALL, J., WILSON, A., CORBETT, H. and STOCKTON, P. 2023. A weighted ensemble of regression methods for gross error identification problem. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) Symposium series on computational intelligence (SSCI 2023), 5-8 December 2023, Mexico City, Mexico. Piscataway: IEEE [online], pages 413-420. Available from: https://doi.org/10.1109/SSCI52147.2023.10371882

In this study, we proposed a new ensemble method to predict the magnitude of gross errors (GEs) on measurement data obtained from the hydrocarbon and stream processing industries. Our proposed model consists of an ensemble of regressors (EoR) obtaine... Read More about A weighted ensemble of regression methods for gross error identification problem..

In search of a philosophy of computing education. (2023)
Presentation / Conference Contribution
MCDERMOTT, R., DANIELS,M. and FREZZA, S. 2023. In search of a philosophy of computing eduction. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2023), 18-21 October 2023, College Station, TX, USA. Piscataway: IEEE [online], article 10343513. Available from: https://doi.org/10.1109/FIE58773.2023.10343513

In this paper, we present a preliminary description of the field of inquiry encompassed by the philosophy of computing education. We first attempt to identify a general framework for investigating characteristic questions of a philosophical nature th... Read More about In search of a philosophy of computing education..

Evaluating a pass/fail grading model in first year undergraduate computing. (2023)
Presentation / Conference Contribution
ZARB, M., MCDERMOTT, R., MARTIN, K., YOUNG, T. and MCGOWAN, J. 2023. Evaluating a pass/fail grading model in first year undergraduate computing. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2023), 18-21 October 2023, College Station, TX, USA. Piscataway: IEEE [online], article 10343276. Available from: https://doi.org/10.1109/FIE58773.2023.10343276

This Innovative Practice Full Paper investigates the implications of implementing a Pass/Fail marking scheme within the undergraduate curriculum, specifically across first year computing modules in a Scottish Higher Education Institution. The motivat... Read More about Evaluating a pass/fail grading model in first year undergraduate computing..

What is Skill? (and why does it matter?). (2023)
Presentation / Conference Contribution
MCDERMOTT, R. and DANIELS, M. 2023. What is skill? (and why does it matter?). In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2023), 18-21 October 2023, College Station, TX, USA. Piscataway: IEEE [online], article 10343520. Available from: https://doi.org/10.1109/FIE58773.2023.10343520

This Research-to-Practice Full Paper seeks to investigate the concept of Skill within a Competency Framework, such as that described by the CC2020 document. The notion of skill is fundamental to modern educational discourse. As educators, we strive,... Read More about What is Skill? (and why does it matter?)..

Lecturers' and clients' experiences of using learning by developing action model with project-based computing science study modules in Finland and the UK. (2023)
Presentation / Conference Contribution
LINTILÄ, T. 2023. Lecturers' and clients' experiences of using learning by developing action model with project-based computing science study modules in Finland and the UK. In Chova, L.G., Martínez. C.G. and Lees, J. (eds.) Proceedings of the 15th International conference on education and new learning technologies (EDULEARN 2023), 3-5 July 2023, Palma, Spain. Valencia: IATED [online], pages 2121-2129. Available from: https://doi.org/10.21125/edulearn.2023.0638

This article describes research in which the Learning by Developing (LbD) action model has been used as a teaching and learning method for computer science students in Finland and Great Britain. The study has been conducted as action research, and it... Read More about Lecturers' and clients' experiences of using learning by developing action model with project-based computing science study modules in Finland and the UK..

A research on the use of learning by developing action model in computing studies in Finland and the UK HEIs. (2023)
Presentation / Conference Contribution
LINTILÄ, T. and ZARB, M. 2023. A research on the use of learning by developing action model in computing studies in Finland and the UK HEIs. In Chova, L.G., Martínez. C.G. and Lees, J. (eds.) Proceedings of the 17th International technology, education and development conference (INTED 2023), 6-8 March 2023, Valencia, Spain. Valencia: IATED [online], pages 3261-3269. Available from: https://doi.org/10.21125/inted.2023.0897

This article describes a study in which the Learning by Developing (LbD) action model has been used as a teaching and learning method for computing students in Finland and the United Kingdom. The study has been carried out as action research, and the... Read More about A research on the use of learning by developing action model in computing studies in Finland and the UK HEIs..

Student interaction with a virtual learning environment: an empirical study of online engagement behaviours during and since the time of COVID-19. (2023)
Presentation / Conference Contribution
JOHNSTON, P., ZARB, M. and MORENO-GARCIA, C.F. 2023. Student interaction with a virtual learning environment: an empirical study of online engagement behaviours during and since the time of COVID-19. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2023),18-21 October 2023, College Station, TX, USA. Piscataway: IEEE [online], article number 10343048. Available from: https://doi.org/10.1109/fie58773.2023.10343048

This paper presents an experience report of online attendance and associated behavioural patterns during a module in the first complete semester undertaken fully online in the autumn of 2020, and the corresponding module deliveries in 2021 and 2022.... Read More about Student interaction with a virtual learning environment: an empirical study of online engagement behaviours during and since the time of COVID-19..

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. (2023)
Presentation / Conference Contribution
FOUGH, F., JANJUA, G., ZHAO, Y. and DON, A.W. 2023. Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, La Valletta, Malta. Piscataway: IEEE [online], pages 121-126. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317294

Antimicrobial resistance (AMR) is an increasingly critical public health issue necessitating precise and efficient methodologies to achieve prompt results. The accurate and early detection of AMR is crucial, as its absence can pose life-threatening r... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms..

Is artists' exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks? (2023)
Presentation / Conference Contribution
BLACKWOOD, J., JONES, S., BUTLER, D., CALLAGHAN, B., POULTER, S., SEERS, L. and WRIGHT, J. (eds.) 2023. Is artists’ exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks? Proceedings of the 2023 Aberdeen mini summit, 16 June 2023, Aberdeen, UK. Wakefield: Axis [online]. Available from: https://www.axisweb.org/aberdeensummit/

Is artists' exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks? Developed by independent arts researcher Dr Susan Jones and organised collaboratively with Dr Jon Blackwood, Gray's School of Ar... Read More about Is artists' exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks?.

Thermomechanical deformation analysis of a tubular solid oxide steam electrolysis cell. (2023)
Presentation / Conference Contribution
KURUSHINA, V., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., FAISAL, N., SOMAN, A., HORRI, B.A. and CAI, Q. 2023. Thermomechanical deformation analysis of a tubular solid oxide steam electrolysis cell. In Proceedings of the 34th Thermal and fluid analysis workshop 2023 (TFAWS 2023), 21-25 August 2023, Maryland, USA. Washington: NASA [online], article number TFAWS23-ID-7. Available from: https://tfaws.nasa.gov/tfaws23/proceedings/

Technologies behind electrolysis cells for hydrogen production are making progress in terms of portability, cost reduction, performance enhancement, prolonged operation, and integration in stacks and with existing power infrastructure. The solid oxid... Read More about Thermomechanical deformation analysis of a tubular solid oxide steam electrolysis cell..