All Outputs (2045)

Faces of carbon capture and storage: successes, challenges, and its impact on public perception. (2024)
Presentation / Conference Contribution
MAHON, R. 2024. Faces of carbon capture and storage: successes, challenges, and its impact on public perception. Presented at the UKCCSRC (UK Carbon Capture and Storage Research Centre) Knowledge exchange conference 2024, 5-6 November 2024, Sheffield, UK.

Carbon Capture and Storage (CCS) is agreed by some to be a promising and effective climate change mitigation strategy to reduce greenhouse gas emissions in hard to abate sectors. However, within society, there has been a growing backlash as to the 'r... Read More about Faces of carbon capture and storage: successes, challenges, and its impact on public perception..

Floating wind turbine standalone option: a viable approach for reducing North Sea emissions. (2024)
Presentation / Conference Contribution
MAHON, R., IYALLA, I. and MUNRO, G. 2024. Floating wind turbine standalone option: a viable approach for reducing North Sea emissions. Presented at the 2024 Topsides UK: energising the North Sea: focusing on energy security and emissions reduction, 5-6 November 2024, Aberdeen, UK.

The UK is in the race to reach its Net Zero targets and as such needs to balance activities in its offshore energy sector, providing the nation with secure energy supplies through the exploitation of its hydrocarbon resources while developing renewab... Read More about Floating wind turbine standalone option: a viable approach for reducing North Sea emissions..

SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024). (2024)
Presentation / Conference Contribution
MARTIN, K., SALIMI, P. and WIJAYASEKARA, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the 2024 SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online]. Available from: https://ceur-ws.org/Vol-3822/

In the last few years, Large Language Models (LLMs) underpinned by rapid advancements in Artificial Intelligence (AI) have grabbed the attention of academia, industry and the general public. Demonstrating hence before unseen capability to deal with a... Read More about SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024)..

Investigating the role of diversity and inclusion in STEM education in the UK. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., ONOSHAKPOR, C., AKERELE, E. and OKPU, A. 2024. Investigating the role of diversity and inclusion in STEM education in the UK. In Abstract book of proceedings of the 6th Global conference on education and teaching 2024 (GLOBALET 2024), 25-27 October 2024, Nice, France. Vilnius, Lithuania: Diamond Scientific Publishing [online], abstract number 19-4078. Available from: https://www.dpublication.com/wp-content/uploads/2024/10/19-4078.pdf

Equality Diversity and Inclusion (EDI) is a very important driver in progressing the ever-evolving fields of Science, Technology, Engineering, and Mathematics (STEM). This aspect of EDI has become increasingly prominent in the professional societies... Read More about Investigating the role of diversity and inclusion in STEM education in the UK..

Investigating AI-driven assessment tools in engineering education: enhancing personalized learning for Industry 4.0 competencies. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., MAHON, R., OKPU, A. and FERNANDO, W. 2024. Investigating AI-driven assessment tools in engineering education: enhancing personalized learning for Industry 4.0 competencies. In Abstract book of the proceedings of the 6th Global conference on education and teaching 2024 (GLOBALET 2024), 25-27 October 2024, Nice, France. Vilnius, Lithuania: Diamond Scientific Publishing [online], abstract number 30-4124. Available from: https://www.dpublication.com/wp-content/uploads/2024/10/30-4124.pdf

With Industry 4.0 constantly improving the industrial landscape, engineering education is subsequently fraught with the immediate challenge of ensuring synchrony between the ever-changing needs of automation, smart manufacturing as well as digital tr... Read More about Investigating AI-driven assessment tools in engineering education: enhancing personalized learning for Industry 4.0 competencies..

Understanding lived experiences of low-income UK parents and carers (of infants aged 0-6 months) management of infant feeding in the context of the current cost of living crisis: the DIO Food project. (2024)
Presentation / Conference Contribution
HUNTER, E. and DOUGLAS, F. 2024. Understanding lived experiences of low-income UK parents and carers (of infants aged 0-6 months) management of infant feeding in the context of the current cost of living crisis: the DIO Food project. Presented at the 1st Nourishing Futures Network international conference (NFN 2024): poverty, inequality and food security in preconception and the first 2001 days, 22 October 2024, Newcastle, UK.

Maternal and infant food insecurity is poorly characterised and understood. UK food charities report increased demand for help from families with young infants. This is concerning when considering nutritional requirements during pregnancy and breastf... Read More about Understanding lived experiences of low-income UK parents and carers (of infants aged 0-6 months) management of infant feeding in the context of the current cost of living crisis: the DIO Food project..

COIL Match Maker: a new software application to facilitate COIL collaboration. (2024)
Presentation / Conference Contribution
CRAWFORD, I. and EZENKWU, P. [2024]. COIL Match Maker: a new software application to facilitate COIL collaboration. To be presented at the 6th International virtual exchange conference (IVEC 2024), 21-24 October 2024, [virtual event].

COIL Match Maker is proposed as a new AI-powered software application that is designed to make the process of finding a COIL partner and creating a COIL project faster, simpler and more accessible - regardless of location, prior experience, or availa... Read More about COIL Match Maker: a new software application to facilitate COIL collaboration..

Towards improving open-box hallucination detection in large language models (LLMs). (2024)
Presentation / Conference Contribution
SURESH, M., ALJUNDI, R., NKISI-ORJI, I. and WIRATUNGA, N. 2024. Towards improving open-box hallucination detection in large language models (LLMs). In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 1-10. Available from: https://ceur-ws.org/Vol-3822/paper1.pdf

Due to the increasing availability of Large Language Models (LLMs) through both proprietary and open-sourced releases of models, the adoption of LLMs across applications has drastically increased making them commonplace in day-to-day lives. Yet, the... Read More about Towards improving open-box hallucination detection in large language models (LLMs)..

Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum. (2024)
Presentation / Conference Contribution
IRONSIDE, R. and ROITERSHTEIN, A. 2024. Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum. Presented at the Roots revived conference: memory, legacy, heritage and tourism, 17 October 2024, Edinburgh, UK.

Prison museums have become an increasingly popular tourist attraction. Presenting visitors with stories and exhibits pertaining to countries' penal history, they engage with difficult and often dissonant heritage. Peterhead Prison Museum ceased opera... Read More about Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum..

Dual-task dialogue understanding. (2024)
Presentation / Conference Contribution
ANWAR, S., WIRATUNGA, N. and SNAITH, M. 2024. Dual-task dialogue understanding. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 40-46. Available from: https://ceur-ws.org/Vol-3822/short5.pdf

In dialogue systems, utterances do not occur in isolation. One conversation might involve interactions between several speakers. It's crucial to determine the intentions behind utterances in multi-party conversations when more than two interlocutors... Read More about Dual-task dialogue understanding..

Integrating KGs and ontologies with RAG for personalised summarisation in regulatory compliance. (2024)
Presentation / Conference Contribution
ARSHAD, U., CORSAR, D. and NKISI-ORJI, I. 2024. Integrating KGs and ontologies with RAG for personalised summarisation in regulatory compliance. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 56-61. Available from: https://ceur-ws.org/Vol-3822/short7.pdf

With the growing complexity and increased volumes, regulatory texts are fast becoming a significant challenge for organisations to remain compliant. Traditional ways of summarising legal texts need to be more accommodating of critical, domain-specifi... Read More about Integrating KGs and ontologies with RAG for personalised summarisation in regulatory compliance..

SCaLe-QA: Sri Lankan case law embeddings for legal QA. (2024)
Presentation / Conference Contribution
JAYAWARDENA, L., WIRATUNGA, N., ABEYRATNE, R., MARTIN, K., NKISI-ORJI, I. and WEERASINGHE, R. 2024. SCaLe-QU: Sri Lankan case law embeddings for legal QA. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 47-55. Available from: https://ceur-ws.org/Vol-3822/short6.pdf

SCaLe-QA is a foundational system developed for Sri Lankan Legal Question Answering (LQA) by leveraging domain-specific embeddings derived from Supreme Court cases. The system is tailored to capture the unique linguistic and structural characteristic... Read More about SCaLe-QA: Sri Lankan case law embeddings for legal QA..

Formal dialogue and large language models. (2024)
Presentation / Conference Contribution
SNAITH, M. and WELLS, S. 2024. Formal dialogue and large language models. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 24-31. Available from: https://ceur-ws.org/Vol-3822/short3.pdf

In this paper, we present preliminary work into combining formal models of dialogue and large language models, before going on to discuss how this provides a foundation for similar approaches involving computational models of argument. First, we addr... Read More about Formal dialogue and large language models..

Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models. (2024)
Presentation / Conference Contribution
OFORI-BOATENG, R., ACEVES-MARTINS, M., WIRATUNGA, N. and MORENO-GARCIA, C.F. 2024. Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.). Proceedings of the 2024 SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822Aachen: CEUR-WS [online], pages 11-18. Available from: https://ceur-ws.org/Vol-3822/short1.pdf

Evidence-based medicine (EBM) is a foundational element in medical research, playing a crucial role in shaping healthcare policies and clinical decision-making. However, the rigorous processes required for EBM, particularly during the abstract screen... Read More about Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models..

An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. (2024)
Presentation / Conference Contribution
XU, X., WANG, S., LIU, D., FERNANDEZ, C. and BLAABJERG, F. 2024. An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. Journal of physics: conference series [online], 2853: proceedings of the 7th International conference on mechanical, electric and industrial engineering, 21-23 May 2024, Yichang, China, article number 012057. Available from: https://doi.org/10.1088/1742-6596/2853/1/012057

Capacity sorting is the primary prerequisite for the stepwise utilization of decommissioned power batteries. This study proposes an improved relative integral capacity-K-means clustering (RIC-KMC) method for preliminary sorting of decommissioned powe... Read More about An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries..

Underwater target detection analysis using spherical acoustic sensor arrays. (2024)
Presentation / Conference Contribution
SUNDAS, R., BAIG, N.A., NJUGUNA, J., RAHMAN, K.U. and FOUGH, N. 2024. Underwater target detection analysis using spherical acoustic sensor arrays. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 240-245. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765723

The need to identify and monitor the target by taking active measurements before it gets close enough to attack has grown due to advancements in marine technology. As underwater vehicular technology continues to progress, there is an increasing inter... Read More about Underwater target detection analysis using spherical acoustic sensor arrays..

Promptable sonar image segmentation for distance measurement using SAM. (2024)
Presentation / Conference Contribution
TOLIE, H.F., REN, J., HASAN, M.J., KANNAN, S. and FOUGH, N. 2024. Promptable sonar image segmentation for distance measurement using SAM. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 229-233. Available from: https://doi.org/10.1109/metrosea62823.2024.10765703

The subsea environment presents numerous challenges for robotic vision, including non-uniform light attenuation, backscattering, floating particles, and low-light conditions, which significantly degrade underwater images. This degradation impacts rob... Read More about Promptable sonar image segmentation for distance measurement using SAM..

Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. (2024)
Presentation / Conference Contribution
STEWART, C., MUHAMMAD, A., FUNG, W.-K., FOUGH, N. and PRABHU, R. 2024. Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 46-51. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765751

Underwater Wireless Optical Communication (UWOC) is at the cutting edge of subsea networking, offering high capacity, low-latency, energy-efficient connectivity that offers many advantages over the acoustic standard which has been embedded in submers... Read More about Machine learning based underwater optical-acoustic communications channel switching for throughput improvement..

Evaluating the impact of ranging error in underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., STEWART, C., FOUGH, N. and KANNAN, S. 2024. Evaluating the impact of ranging error in underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 40-45. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765665

The study evaluated the impact of ranging error in underwater localization processes using SAR satellite data within the framework of Underwater Wireless Sensor Networks (UWSN). By integrating a pretrained ArcGIS deep learning model with SAR imagery,... Read More about Evaluating the impact of ranging error in underwater localization using SAR satellite data..

Securing underwater wireless communication with frequency-hopping spread spectrum. (2024)
Presentation / Conference Contribution
RAHMAN, K.U., FOUGH, N., MCDERMOTT, C.D., SUNDAS, R., BAIG, N. and KANNAN, S. 2024. Securing underwater wireless communication with frequency-hopping spread spectrum. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 266-271. Available from: https://doi.org/10.1109/metrosea62823.2024.10765656

The significance of subsea communication has increased substantially, with growing interest in replacing wired communication with wireless alternatives. However, subsea communication faces several challenges due to the harsh environment, including hi... Read More about Securing underwater wireless communication with frequency-hopping spread spectrum..