All Outputs (83)

Content type profiling of data-to-text generation datasets. (2022)
Conference Proceeding
UPADHYAY, A. and MASSIE, S. 2022. Content type profiling of data-to-text generation datasets. In N. Calzolari, C.-R. Huang, H. Kim. et al. (eds.) Proceedings of the 29th International conference on computational linguistics (COLING 2022), 12-17 October 2022, Gyeongju, Republic of Korea. Stroudsburg, PA: International Committee on Computational Linguistics [online], 29(1), pages 5770–5782. Available from: https://aclanthology.org/2022.coling-1.pdf

Data-to-Text Generation (D2T) problems can be considered as a stream of time-stamped events with a text summary being produced for each. The problem becomes more challenging when event summaries contain complex insights derived from multiple records... Read More about Content type profiling of data-to-text generation datasets..

Influencing student academic integrity choices using ethics scenarios. (2022)
Conference Proceeding
DANIELS, M., BERGLUND, A. and MCDERMOTT, R. 2022. Influencing student academic integrity choices using ethics scenarios. In Proceedings of the 2022 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2022), 8-11 October 2022, Uppsala, Sweden. Piscataway: IEEE [online], article 9962607. Available from: https://doi.org/10.1109/FIE56618.2022.9962607

Academic misconduct seems to have increased substantially during the pandemic, with a worldwide upsurge in reported cases. The aim of this project is to construct a framework for helping students engage with issues concerning academic integrity and a... Read More about Influencing student academic integrity choices using ethics scenarios..

Phronesis: deliberative judgement as a key competence in the post-Covid educational environment. (2022)
Conference Proceeding
MCDERMOTT, R. and DANIELS, M. 2022. Phronesis: deliberative judgement as a key competence in the post-Covid educational environment. In Proceedings of the 2022 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2022), 8-11 October 2022, Uppsala, Sweden. Piscataway: IEEE [online], article 9962515. Available from: https://doi.org/10.1109/FIE56618.2022.9962515

The global Covid19 pandemic which began in early 2020 is one of the most socially disruptive events to have occurred since the Second World War. It has left a profound mark on the institutions of society, including those charged with education, and i... Read More about Phronesis: deliberative judgement as a key competence in the post-Covid educational environment..

Numerical simulation of flow-induced forces on subsea structures in a group under uniform and sheared flow. (2022)
Conference Proceeding
ANNAPEH, H.F. and KURUSHINA, V. 2022. Numerical simulation of flow-induced forces on subsea structures in a group under uniform and sheared flow. In Dimitrovová, Z., Biswas, P., Gonçalves, R. and Silva, T. (eds.) Recent trends in wave mechanics and vibrations: proceedings of the 10th International conference on wave mechanics and vibrations (WMVC 2022), 4-6 July 2022, Lisbon, Portugal. Mechanisms and machine science, 125. Cham: Springer [online], pages 512-522. Available from: https://doi.org/10.1007/978-3-031-15758-5_52

Subsea production systems design requires estimates of hydrodynamic loads related to characteristics of structures and the external flow. The current work investigates flow-induced forces for a group of stationary rigid structures modelled in 2D incl... Read More about Numerical simulation of flow-induced forces on subsea structures in a group under uniform and sheared flow..

Crowdsourced quality assessment of enhanced underwater images: a pilot study. (2022)
Conference Proceeding
LIN, H., MEN, H., YAN, Y., REN, J. and SAUPE, D. 2022. Crowdsourced quality assessment of enhanced underwater images: a pilot study. In Proceedings of 14th International conference on quality of multimedia experience 2022 (QoMEX 2022), 5-7 September 2022, Lippstadt, Germany. Piscataway: IEEE [online], article 9900904. Available from: https://doi.org/10.1109/QoMEX55416.2022.9900904

Underwater image enhancement (UIE) is essential for a high-quality underwater optical imaging system. While a number of UIE algorithms have been proposed in recent years, there is little study on image quality assessment (IQA) of enhanced underwater... Read More about Crowdsourced quality assessment of enhanced underwater images: a pilot study..

Machine learning approach to predict mental distress of IT workforce in remote working environments. (2022)
Conference Proceeding
GAMAGE, S.N. and ASANKA, P.P.G.D. 2022. Machine learning approach to predict mental distress of IT workforce in remote working environments. In Proceedings of 2022 International research conference on Smart computing and systems engineering (SCSE 2022), 1 September 2022, Colombo, Sri Lanka. Hosted on IEEE [online], pages 211-216. Available from: https://doi.org/10.1109/scse56529.2022.9905229

When considering online workers, due to the emergence of the coronavirus pandemic prevailing in the world, employees have been restricted to work remotely for a prolonged period. All the working arrangements are now based at home than before. Since t... Read More about Machine learning approach to predict mental distress of IT workforce in remote working environments..

Deep learning based short-term total cloud cover forecasting. (2022)
Conference Proceeding
BANDARA, I., ZHANG, L. and MISTRY, K. 2022. Deep learning based short-term total cloud cover forecasting. In Proceedings of the 2022 International joint conference on neural networks (IJCNN 2022), co-located with the 2022 conference proceedings of Institute of Electrical and Electronics Engineers (IEEE) World congress on computational intelligence (IEEE WCCI 2022), 18-23 July 2022, Padua, Italy. Piscataway: IEEE [online], article 9892773. Available from: https://doi.org/10.1109/IJCNN55064.2022.9892773

In this research, we conduct deep learning based Total Cloud Cover (TCC) forecasting using satellite images. The proposed system employs the Otsu's method for cloud segmentation and Long Short-Term Memory (LSTM) variant models for TCC prediction. Spe... Read More about Deep learning based short-term total cloud cover forecasting..

Developing an effective capacity sizing and energy management model for integrated hybrid photovoltaic-hydrogen energy systems within grid-connected buildings. (2022)
Conference Proceeding
ATTEYA, A.I., ALI, D. and HOSSAIN, M. 2022. Developing an effective capacity sizing and energy management model for integrated hybrid photovoltaic-hydrogen energy systems within grid-connected buildings. In Proceedings of the 11th International conference on Renewable power generation (RPG 2022): meeting net zero carbon, 22-23 September 2022, London, UK: [virtual event]. New York: IET [online], pages 204-212. Available from: https://doi.org/10.1049/icp.2022.1823

The ongoing energy transition has accelerated renewables integration within many sectors requiring addressment of their intermittency challenges. Implementing hydrogen energy storage with renewables is a solution; however, Renewable-Hydrogen hybrid s... Read More about Developing an effective capacity sizing and energy management model for integrated hybrid photovoltaic-hydrogen energy systems within grid-connected buildings..

The Architecture Decentralised Autonomous Organisation: a stigmergic exploration in architectural collaboration. (2022)
Conference Proceeding
DOUNAS, T., VOELLER, E., PROKOP, S. and VELE, J. 2022. The Architecture Decentralised Autonomous Organisation: a stigmergic exploration in architectural collaboration. In Pak, B., Wurzer, G. and Stouffs, R. (eds.) Co-creating the future: inclusion in and through design: proceedings of the 40th eCCADe (Education and Research in Computer Aided Architectural Design), 13-16 September 2022, Ghent, Belgium. Ghent: eCAADe, volume 1, pages 567-576. Hosted on CumInCad [online]. Available from: http://papers.cumincad.org/cgi-bin/works/Show?ecaade2022_246

We present "ArchiDAO", a decentralised Autonomous Organisation, i.e an architecture studio run on via smart contracts on the Ethereum blockchain. The objective of the paper is to offer a concise framework for the transformation of the way architectur... Read More about The Architecture Decentralised Autonomous Organisation: a stigmergic exploration in architectural collaboration..

CBR for interpretable response selection in conversational modelling. (2022)
Conference Proceeding
SURESH, M. 2022. CBR for interpretable response selection in conversational modelling. In Reuss, P. and Schönborn, J. (eds.) Proceedings of the 30th Doctoral consortium of the international conference on case-based reasoning (ICCBR-DC 2022), co-located with the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3418. Aachen: CEUR-WS [online], pages 28-33. Available from: https://ceur-ws.org/Vol-3418/ICCBR_2022_DC_paper25.pdf

Current state-of-the-art dialogue systems are increasingly complex. When used in applications such as motivational interviewing, the lack of interpretability is a concern. CBR offers to bridge this gap by using the most similar past cases to decide t... Read More about CBR for interpretable response selection in conversational modelling..

Addressing trust and mutability issues in XAI utilising case based reasoning. (2022)
Conference Proceeding
SALIMI, P. 2022. Addressing trust and mutability issues in XAI utilising case based reasoning. In Reuss, P. and Schönborn, J. (eds.) Proceedings of the 30th Doctoral consortium of the international conference on case-based reasoning (ICCBR-DC 2022), co-located with the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3418. Aachen: CEUR-WS [online], pages 22-27. Available from: https://ceur-ws.org/Vol-3418/ICCBR_2022_DC_paper19.pdf

Explainable AI (XAI) research is required to ensure that explanations are human readable and understandable. The present XAI approaches are useful for observing and comprehending some of the most important underlying properties of any Black-box AI mo... Read More about Addressing trust and mutability issues in XAI utilising case based reasoning..

Explaining and upsampling anomalies in time-series sensor data. (2022)
Conference Proceeding
PIRIE, C. 2022. Explaining and upsampling anomalies in time-series sensor data. In Reuss, P. and Schönborn, J. (eds.) Proceedings of the 30th Doctoral consortium of the international conference on case-based reasoning (ICCBR-DC 2022), co-located with the 30th International conference on case-based reasoning (ICCBR 2022), 12-15 September 2022, Nancy, France. CEUR workshop proceedings, 3418. Aachen: CEUR-WS [online], pages 16-21. Available from: https://ceur-ws.org/Vol-3418/ICCBR_2022_DC_paper13.pdf

The aims of this research was to improve anomaly detection methods in multi-sensor data by extending current re-sampling and explanation methods to work in a time-series setting. While there is a plethora of literature surrounding XAI for tabular dat... Read More about Explaining and upsampling anomalies in time-series sensor data..

Cross domain evaluation of text detection models. (2022)
Conference Proceeding
ALI-GOMBE, A., ELYAN, E., MORENO-GARCÍA, C. and JAYNE, C. 2022. Cross domain evaluation of text detection models. In Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A. and Aydin, M. (eds.) Artificial neural networks and machine learning - ICANN 2022: proceedings of the 31st International conference on artificial neural networks (ICANN 2022), 6-9 September 2022, Bristol, UK, part III. Lecture notes in computer science, 13531. Cham: Springer [online], pages 50-61. Available from: https://doi.org/10.1007/978-3-031-15934-3_5

Text detection is a very common task across a wide range of domains, such as document image analysis, remote identity verification, amongst others. It is also considered an integral component of any text recognition system, where the performance of r... Read More about Cross domain evaluation of text detection models..

Reconsidering RepStat rules in dialectic games. (2022)
Conference Proceeding
WELLS, S. and SNAITH, M. 2022. Reconsidering RepStat rules in dialectical games. In Grasso, F., Green, N.L., Schneider, J. and Wells, S. (eds.) Proceedings of the 22nd Workshop on computational models of natural argument (CMNA 2022), 12 September 2022, Cardiff, UK. CEUR workshop proceedings, 3205. Aachen: CEUR-WS [online], pages 18-28. Available from: http://ceur-ws.org/Vol-3205/paper3.pdf

Prohibition of repeated statements has benefits for the tractability and predictability of dialogues carried out by machines, but doesn't match the real world behaviour of people. This gap between human and machine behaviour leads to problems when fo... Read More about Reconsidering RepStat rules in dialectic games..

Speckle pattern analysis of security holograms and related foils for quality assessment and authentication. (2022)
Conference Proceeding
KRISHNAN S., K., AMBADIYIL, S., JHA, A.K. and PRABHU, R. 2022. Speckle pattern analysis of security holograms and related foils for quality assessment and authentication. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Counterterrorism, crime fighting, forensics, and surveillance technologies VI: proceedings of the 6th Counterterrorism, crime fighting, forensics, and surveillance technologies, co-located with SPIE (Society of Photo-optical Instrumentation Engineers) Security + defence conference 2022, 5-6 September 2022, Berlin, Germany. Proceedings of SPIE, 12275. Bellingham, WA: SPIE [online], article 1227509. Available from: https://doi.org/10.1117/12.2635446

A speckle pattern is produced by the mutual interference of a set of coherent wavefronts. Speckle patterns typically occur in diffuse reflections of monochromatic light such a laser light. When a rough surface is illuminated by a coherent light is im... Read More about Speckle pattern analysis of security holograms and related foils for quality assessment and authentication..

A simulation into the physical and network layers of optical communication network for the subsea video surveillance of illicit activity. (2022)
Conference Proceeding
STEWART, C., FOUGH, N. and PRABHU, R. 2022. A simulation into the physical and network layers of optical communication network for the subsea video surveillance of illicit activity. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Counterterrorism, crime fighting, forensics, and surveillance technologies VI: proceedings of the 6th Counterterrorism, crime fighting, forensics, and surveillance technologies, co-located with SPIE (Society of Photo-optical Instrumentation Engineers) Security + defence conference 2022, 5-6 September 2022, Berlin, Germany. Proceedings of SPIE, 12275. Bellingham, WA: SPIE [online], article 1227508. Available from: https://doi.org/10.1117/12.2641374

Criminal activity is increasingly entering the ocean subsurface with acts such as illegal fishing and narco-submarining becoming points of contention. This among other illicit acts taking place in this domain imply a need for surveillance to render t... Read More about A simulation into the physical and network layers of optical communication network for the subsea video surveillance of illicit activity..

An investigation into routing protocols for real-time sensing of subsurface oil wells. (2022)
Conference Proceeding
STEWART, C., FOUGH, N. and PRABHU, R. 2022. An investigation into routing protocols for real-time sensing of subsurface oil wells. In Valle, M., Lehmhus, D., Gianoglio, C. et al. (eds.) Advances in system-integrated intelligence: proceedings of the 6th International conference on system-integrated intelligence 2022 (SysInt 2022), 7-9 September 2022, Genova, Italy. Lecture notes in networks and systems (LNNS), 546. Cham: Springer [online], pages 689-699. Available from: https://doi.org/10.1007/978-3-031-16281-7_65

Pervasive computing has transformed society, and there is a desire to extend this mass data connectivity to the ocean, especially by energy companies seeking real-time sensor data from assets such as oil wells and pipelines. As evidenced by the Deepw... Read More about An investigation into routing protocols for real-time sensing of subsurface oil wells..

Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data. (2022)
Conference Proceeding
STEWART, C., FUNG, W.K., FOUGH, N. and PRABHU, R. 2022. Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data. In Valle, M., Lehmhus, D., Gianoglio, C. et al. (eds.) Advances in system-integrated intelligence: proceedings of the 6th International conference on system-integrated intelligence 2022 (SysInt 2022), 7-9 September 2022, Genova, Italy. Lecture notes in networks and systems (LNNS), 546. Cham: Springer [online], pages 679-688. Available from: https://doi.org/10.1007/978-3-031-16281-7_64

Artificial intelligence (AI) has a potential for impact in the diagnosis of neurological conditions, the academic consensus generally has a positive outlook regarding how AI can improve the care of stroke victims and those who suffer from neuro-degen... Read More about Automated tonic-clonic seizure detection using random forests and spectral analysis on electroencephalography data..

Cutting strategy of polymer composite material for aerospace engineering application. (2022)
Conference Proceeding
SANI, A.S.A., ZAINUDDIN, A.Z. and SAHARUDIN, M.S. 2022. Cutting strategy of polymer composite material for aerospace engineering application. In Sani, A.S.A., Zahid, M.N.O., Yasin, M.R.M., Ismail, S.Z., Zawawi, M.Z.M., Manaf, A.R.A., Saffe, S.N.M., Aziz, R.A. and Turan, F.M. (eds.) Enabling industry 4.0 through advances in manufacturing and materials: selected articles from the proceedings of the 2021 Innovative manufacturing, mechatronics and materials forum (iM3F 2021), 20 September 2021, Pekan, Malaysia. Singapore: Springer [online], pages 543-552. Available from: https://doi.org/10.1007/978-981-19-2890-1_51

Despite the popular use of hybrid fibers in polymer composite in aerospace applications, it comes with a price where it is expensive and has a complex process to produce. A new alternative method of using nanocomposite using natural fiber such as Epo... Read More about Cutting strategy of polymer composite material for aerospace engineering application..

Analysing the fitness landscape rotation for combinatorial optimisation. (2022)
Conference Proceeding
ALZA, J., BARTLETT, M., CEBERIO, J. and MCCALL, J. 2022. Analysing the fitness landscape rotation for combinatorial optimisation. In Rudolph, G., Kononova, A.V., Aguirre, H., Kerschke, P., Ochoa, G. and Tušar, T. (eds.) Parallel problem solving from nature (PPSN XVII): proceedings of 17th Parallel problem solving from nature international conference 2022 (PPSN 2022), 10-14 September 2022, Dortmund, Germany. Lecture notes in computer science, 13398. Cham: Springer [online], pages 533-547. Available from: https://doi.org/10.1007/978-3-031-14714-2_37

Fitness landscape rotation has been widely used in the field of dynamic combinatorial optimisation to generate test problems with academic purposes. This method changes the mapping between solutions and objective values, but preserves the structure o... Read More about Analysing the fitness landscape rotation for combinatorial optimisation..