All Outputs (2035)

How do midwives feel when women choose to freebirth? (2023)
Presentation / Conference Contribution
VELO HIGUERAS, M. 2023. How do midwives feel when women choose to freebirth? Presented at the 2023 RGU Graduate School module GSM011 poster competition, 18 August 2023, Aberdeen, UK.

Freebirth is a birth that happens intentionally without the attendance of a qualified health care professional - even when free, universal access to midwifery care is provided by public health care services. A systematic literature review on women's... Read More about How do midwives feel when women choose to freebirth?.

HEALER2: a framework for secure data lake towards healthcare digital transformation efforts in low and middle-income countries. (2023)
Presentation / Conference Contribution
YENG, P.K., DIEKUU, J.-B., ABOMHARA, M., ELHADJ, B., YAKUBU, M.A., OPPONG, I.N., FAUZI, M.A., YANG, B. and EL-GASSAR, R. 2023. HEALER2: a framework for secure data lake towards healthcare digital transformation efforts in low and middle-income countries. In Singh Jat, D., Bhunu Shava, F., Tripathi, M., Gajrani, J., Nehra, A. and Jain, A. (eds.) Proceedings of the 2023 International conference on Emerging trends in networks and computer communications (ETNCC 2023), 16-18 August 2023, Windhoek, Namibia ; [virtual event]. Piscataway: IEEE [online], pages 31-39. Available from: https://doi.org/10.1109/ETNCC59188.2023.10284959

Low and middle-income countries are vigorously digitizing their operations in the healthcare sector as steps in the digital transformation journey. However, some of the basic principles in information security are being skipped. This has a tendency t... Read More about HEALER2: a framework for secure data lake towards healthcare digital transformation efforts in low and middle-income countries..

Modeling and simulation of heterojunction solar cell; determination of optimal values. (2023)
Presentation / Conference Contribution
LAWAL, S.M., FOUGH, N., SELLAMI, N. and MUHAMMAD-SUKKI, F. 2023. Modeling and simulation of heterojunction solar cell: determination of optimal values. In Proceedings of the 21st IEEE (Institute of Electrical and Electronics Engineers) Interregional NEWCAS conference 2023 (NEWCAS 2023), 26-28 June 2023, Edinburgh, UK. Piscataway: IEEE [online], article 10198061. Available from: https://doi.org/10.1109/NEWCAS57931.2023.10198061

A heterojunction solar cell of ZnSe/ZnO/CIGS/Si structure has been simulated in order to determine the optimal values. The performed modeling and Simulation is used to get an idea and identify the optimal values that can be use in the manufacturing p... Read More about Modeling and simulation of heterojunction solar cell; determination of optimal values..

Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. (2023)
Presentation / Conference Contribution
STEWART, C., FUNG, WAI KEUNG, FOUGH, N. and PRABHU, R. 2023. Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. In Proceedings of the 21st IEEE (Institute of Electrical and Electronics Engineers) Interregional NEWCAS conference 2023 (NEWCAS 2023), 26-28 June 2023, Edinburgh, UK. Piscataway: IEEE [online], article 10198101. Available from: https://doi.org/10.1109/NEWCAS57931.2023.10198101

Machine learning proliferates society and has begun changing medicine. This report covers an investigation into how Extremely Random Forests combined with Fast Fourier Transform feature extraction performed on two-dimensional time-series Epileptic Se... Read More about Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data..

Modelling and analysis of vortex-induced vibrations for flexible cylinders conveying two-phase slug flows. (2023)
Presentation / Conference Contribution
MEENAKUMARI, H.N.R., ZANGANEH, H. and HOSSAIN, M. 2023. Modelling and analysis of vortex-induced vibrations for flexible cylinders conveying two-phase slug flows. In Qiu, H., Zhang, Y. and Iasiello, M. (eds.) Proceedings of the 9th World congress on Mechanical, chemical and material engineering. Orléans, ON, Canada: Avestia [online], paper no. ICMIE 138. Available from: https://doi.org/10.11159/icmie23.138

Hydrocarbon flows in a marine riser may appear in multiple phases with varying flow patterns, among which, slug flows are known to exhibit complex flow characteristics due to fluctuations in multiphase mass, velocities, and pressure changes. This flo... Read More about Modelling and analysis of vortex-induced vibrations for flexible cylinders conveying two-phase slug flows..

Windstorm hazardous area mapping using multi-criteria evaluation techniques of fuzzy logic approach. (2023)
Presentation / Conference Contribution
ZAKARIA, N.H., SALLEH, S.A., CHAN, A., OOI, M.C.G., ISA, N.A. and LATIF, Z.A. 2023. Windstorm hazardous area mapping using multi-criteria evaluation techniques of fuzzy logic approach. IOP conference series: earth and environmental science [online], 1217: proceedings of the 6th International conference on research methodology for built environment and engineering (ICRMBEE2023), 28 February - 2 March 2023, Bangkok, Thailand, article number 012036. Available from: https://doi.org/10.1088/1755-1315/1217/1/012036

The goal of this study to determine the most exposed area to windstorm event using fuzzy logic approach. Respond to the Sustainable Development Goal (SDG) 11 and 13, Sustainable Cities and Communities and Climate Action, this study was conducted to e... Read More about Windstorm hazardous area mapping using multi-criteria evaluation techniques of fuzzy logic approach..

Unmasking the imposters: task-specific feature learning for face presentation attack detection. (2023)
Presentation / Conference Contribution
ABDULLAKUTTY, F., ELYAN, E. and JOHNSTON, P. 2023. Unmasking the imposters: task-specific feature learning for face presentation attack detection. In Proceedings of the 2023 International joint conference on neural networks (IJCNN2023), 18-23 June 2023, Gold Coast, Australia. Piscataway: IEEE [online], 10191953. Available from: https://doi.org/10.1109/IJCNN54540.2023.10191953

Presentation attacks pose a threat to the reliability of face recognition systems. A photograph, a video, or a mask representing an authorised user can be used to circumvent the face recognition system. Recent research has demonstrated high accuracy... Read More about Unmasking the imposters: task-specific feature learning for face presentation attack detection..

Decarbonisation of offshore oil and gas production platforms a case study of the North Sea. (2023)
Presentation / Conference Contribution
OLUKA, N., IYALLA, I., MAHON, R. and ANDRAWUS, J. 2023. Decarbonisation of offshore oil and gas production platforms a case study of the North Sea. In Proceedings of the 2023 SPE (Society of Petroleum Engineers) Nigeria annual international conference and exhibition (NAIC 2023), 31 July - 02 August 2023, Lagos, Nigeria. Richardson, TX: SPE [online], paper number SPE-217186-MS. Hosted on OnePetro. Available from: https://doi.org/10.2118/217186-MS

The United Kingdom Continental Shelf (UKCS) of the North Sea Greenhouse gas emission from offshore oil & gas operations accounts for 14 mega tonnes of Co2 equivalent per annum, the majority of which comes from power generation for platforms (10 mega... Read More about Decarbonisation of offshore oil and gas production platforms a case study of the North Sea..

CBR driven interactive explainable AI. (2023)
Presentation / Conference Contribution
WIJEKOON, A., WIRATUNGA, N., MARTIN, K., CORSAR, D., NKISI-ORJI, I., PALIHAWADANA, C., BRIDGE, D., PRADEEP, P., AGUDO, B.D. and CARO-MARTÍNEZ, M. 2023. CBR driven interactive explainable AI. In MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023, (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages169-184. Available from: https://doi.org/10.1007/978-3-031-40177-0_11

Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Numerous explanation techniques (explainers) exist in the literature, and recent findings suggest that addressing multiple user needs requi... Read More about CBR driven interactive explainable AI..

Failure-driven transformational case reuse of explanation strategies in CloodCBR. (2023)
Presentation / Conference Contribution
NKISI-ORJI, I., PALIHAWADANA, C., WIRATUNGA, N., WIJEKOON, A. and CORSAR, D. 2023. Failure-driven transformational case reuse of explanation strategies in CloodCBR. In Massie, S. and Chakraborti, S. (eds.) Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023 (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages 279-293. Available from: https://doi.org/10.1007/978-3-031-40177-0_18

In this paper, we propose a novel approach to improve problem-solving efficiency through the reuse of case solutions. Specifically, we introduce the concept of failure-driven transformational case reuse of explanation strategies, which involves trans... Read More about Failure-driven transformational case reuse of explanation strategies in CloodCBR..

Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023). (2023)
Presentation / Conference Contribution
MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science, 14141. Cham: Springer [online]. Available from: https://doi.org/10.1007/978-3-031-40177-0

This volume contains the papers presented at the 31st International Conference on Case-Based Reasoning (ICCBR 2023), which was held on July 17–20, 2023, at Robert Gordon University in Aberdeen, Scotland, UK. ICCBR is the premier annual meeting of the... Read More about Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023)..

Collaborating with a Scottish heritage brand towards enhancing and preserving sustainable artisan hand-weaving practices through a knowledge transfer partnership. (2023)
Presentation / Conference Contribution
STEED, J., CROSS, K. and WILSON, B. 2023. Collaborating with a Scottish heritage brand towards enhancing and preserving sustainable artisan hand-weaving practices through a knowledge transfer partnership. Journal of textile design research and practice [online], 11(1-2): revised papers from the 5th Futurescan conference (Futurescan 5): conscious communities, 7-8 September 2022, Leeds, UK, pages 127-147. Available from: https://doi.org/10.1080/20511787.2023.2234650

This paper discusses a Knowledge Transfer Project (KTP) with a global Scottish heritage brand, which aimed to develop a year-round sustainable business model through a design-led approach to new product innovation that improves the brand's sustainabi... Read More about Collaborating with a Scottish heritage brand towards enhancing and preserving sustainable artisan hand-weaving practices through a knowledge transfer partnership..

Explaining a staff rostering genetic algorithm using sensitivity analysis and trajectory analysis. (2023)
Presentation / Conference Contribution
FYVIE, M., MCCALL, J.A.W., CHRISTIE, L.A. and BROWNLEE, A.E.I. 2023. Explaining a staff rostering genetic algorithm using sensitivity analysis and trajectory analysis. In GECCO’23 companion: proceedings of the 2023 Genetic and evolutionary computation conference companion, 15-19 July 2023, Lisbon, Portugal. New York: ACM [online], pages 1648-1656. Available from: https://doi.org/10.1145/3583133.3596353

In the field of Explainable AI, population-based search metaheuristics are of growing interest as they become more widely used in critical applications. The ability to relate key information regarding algorithm behaviour and drivers of solution quali... Read More about Explaining a staff rostering genetic algorithm using sensitivity analysis and trajectory analysis..

Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis. (2023)
Presentation / Conference Contribution
HOSSAIN, M., FAISAL, N., PRATHURU, A., KURUSHINA, V., RAJENDRAN, V., CAI, Q., HORRI, B. and KUMAR, A. 2023. Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis. Presented at the 1st IUT (Islamic University of Technology) International conference on mechanical, material and production engineering 2023 (IUT-ICMMPE 2023), 21-22 July 2023, Gaziput, Dhaka.

The UK government in their 2021 Hydrogen Strategy recognises that the low carbon hydrogen plays a critical role in achieving transition to net zero and sets a target of 5GW of low carbon hydrogen production capacity by 2030 for use across the economy... Read More about Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis..

The current and future role of visual question answering in eXplainable artificial intelligence. (2023)
Presentation / Conference Contribution
CARO-MARTINEZ, M., WIJEKOON, A., DIAZ-AGUDO, B. and RECIO-GARCIA, J.A. 2023. The current and future role of visual question answering in eXplainable artificial intelligence. In Malburg, L. and Verma, D. (eds.) Workshop proceedings of the 31st International conference on case-based reasoning (ICCBR-WS 2023), 17 July 2023, Aberdeen, UK. CEUR workshop proceedings, 3438. Aachen: CEUR-WS [online], pages 172-183. Available from: https://ceur-ws.org/Vol-3438/paper_13.pdf

Over the last few years, we have seen how the interest of the computer science research community on eXplainable Artificial Intelligence has grown in leaps and bounds. The reason behind this rise is the use of Artificial Intelligence in many daily li... Read More about The current and future role of visual question answering in eXplainable artificial intelligence..

AGREE: a feature attribution aggregation framework to address explainer disagreements with alignment metrics. (2023)
Presentation / Conference Contribution
PIRIE, C., WIRATUNGA, N., WIJEKOON, A. and MORENO-GARCIA, C.F. 2023. AGREE: a feature attribution aggregation framework to address explainer disagreements with alignment metrics. In Malburg, L. and Verma, D. (eds.) Workshop proceedings of the 31st International conference on case-based reasoning (ICCBR-WS 2023), 17 July 2023, Aberdeen, UK. CEUR workshop proceedings, 3438. Aachen: CEUR-WS [online], pages 184-199. Available from: https://ceur-ws.org/Vol-3438/paper_14.pdf

As deep learning models become increasingly complex, practitioners are relying more on post hoc explanation methods to understand the decisions of black-box learners. However, there is growing concern about the reliability of feature attribution expl... Read More about AGREE: a feature attribution aggregation framework to address explainer disagreements with alignment metrics..

CBR assisted context-aware surface realisation for data-to-text generation. (2023)
Presentation / Conference Contribution
UPADHYAY, A. and MASSIE, S. 2023. CBR assisted context-aware surface realisation for data-to-text generation. In MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023, (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages 34-49. Available from: https://doi.org/10.1007/978-3-031-40177-0_3

Current state-of-the-art neural systems for Data-to-Text Generation (D2T) struggle to generate content from past events with interesting insights. This is because these systems have limited access to historic data and can also hallucinate inaccurate... Read More about CBR assisted context-aware surface realisation for data-to-text generation..

Hydrogen and the energy transition. (2023)
Presentation / Conference Contribution
ALI, D. 2023. Hydrogen and the energy transition. Presented at the 2023 Glasgow Caledonia University (GCU) Capacity building Erasmus+ workshop, 12 July 2023, Sri Lanka.

To justify and know why we need to use Hydrogen the author detailed the emission briefs which showed the emissions from natural gas decreased by 118 Mt in 2022 due to Ukraine war, coal grew to a new all-time high of all-time high of almost 15.5 Gt. E... Read More about Hydrogen and the energy transition..

Labelled Vulnerability Dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models. (2023)
Presentation / Conference Contribution
SENANAYAKE, J., KALUTARAGE, H., AL-KADRI, M.O., PIRAS, L. and PETROVSKI, A. 2023. Labelled Vulnerability Dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models. In De Capitani di Vimercati, S. and Samarati, P. (eds.) Proceedings of the 20th International conference on security and cryptography, 10-12 July 2023, Rome, Italy, volume 1. Setúbal: SciTePress [online], pages 659-666. Available from: https://doi.org/10.5220/0012060400003555

Ensuring the security of Android applications is a vital and intricate aspect requiring careful consideration during development. Unfortunately, many apps are published without sufficient security measures, possibly due to a lack of early vulnerabili... Read More about Labelled Vulnerability Dataset on Android source code (LVDAndro) to develop AI-based code vulnerability detection models..

Android code vulnerabilities early detection using AI-powered ACVED plugin. (2023)
Presentation / Conference Contribution
SENANAYAKE, J., KALUTARAGE, H., AL-KADRI, M.O., PETROVSKI, A. and PIRAS, L. 2023. Android code vulnerabilities early detection using AI-powered ACVED plugin. In Atluri, V. and Ferrara, A.L. (eds.) Data and applications security and privacy XXXVII; proceedings of the 37th annual IFIP WG (International Federation for Information Processing Working Group) 11.3 Data and applications security and privacy 2023 (DBSec 2023), 19-21 July 2023, Sophia-Antipolis, France. Lecture notes in computer science (LNCS), 13942. Cham: Springer [online], pages 339-357. Available from: https://doi.org/10.1007/978-3-031-37586-6_20

During Android application development, ensuring adequate security is a crucial and intricate aspect. However, many applications are released without adequate security measures due to the lack of vulnerability identification and code verification at... Read More about Android code vulnerabilities early detection using AI-powered ACVED plugin..