All Outputs (2031)

Assessing the performance of ethereum and hyperledger fabric under DDoS attacks for cyber-physical systems. (2024)
Presentation / Conference Contribution
JAYADEV, V., MORADPOOR, N. and PETROVSKI, A. 2024. Assessing the performance of ethereum and hyperledger fabric under DDoS attacks for cyber-physical systems. In ARES '24: proceedings of the 19th International conference on Availability, reliability and security, 30 July - 02 August 2024, Vienna, Austria. New York: ACM [online], article number 48. Available from: https://doi.org/10.1145/3664476.3670927

Blockchain technology offers a decentralized and secure platform for addressing various challenges in smart cities and cyber-physical systems, including identity management, trust and transparency, and supply chain management. However, blockchains ar... Read More about Assessing the performance of ethereum and hyperledger fabric under DDoS attacks for cyber-physical systems..

Startup dynamics of drag-based multibladed vertical axis wind turbine. (2024)
Presentation / Conference Contribution
ASIM, T. and OSAME, P. 2024. Startup dynamics of drag-based mulibladed vertical axis wind turbine. Engineering proceedings [online], 71(1): proceedings of the 4th Annual solar and wind power conference 2024 (ASWEC 2024): next generation of energy solution, 5 June 2024, [virtual conference], article number 5. Available from: https://doi.org/10.3390/engproc2024071005

A multibladed drag-based Vertical Axis Wind Turbine (VAWT) was developed and its startup dynamics evaluated using wind tunnel tests. The experimental data obtained for the time-based angular position of the rotor shaft at Aberdeen's average wind spee... Read More about Startup dynamics of drag-based multibladed vertical axis wind turbine..

Cross-validation for detecting label poisoning attacks: a study on random forest algorithm. (2024)
Presentation / Conference Contribution
YASARATHNA, T.L., MUNASINGHE, L., KALUTARAGE, H. and LE-KHAC, N.-A. 2024. Cross-validation for detecting label poisoning attacks: a study on random forest algorithm. In Pitropakis, N., Katsikas, S., Furnell, S. and Markantonakis, K. (eds.) Proceedings of the 39th International Federation for Information Processing (IFIP) International conference on ICT systems security and privacy protection 2024 (IFIP SEC 2024), 12-14 June 2024, Edinburgh, UK. IFIP Advances in information and communication technology, 710. Cham: Springer [online], pages 451-464. Available from: https://doi.org/10.1007/978-3-031-65175-5_32

The widespread adoption of machine learning (ML) algorithms has revolutionized various aspects of modern life. However, their susceptibility to data poisoning attacks remains a significant concern due to their potential to compromise model integrity... Read More about Cross-validation for detecting label poisoning attacks: a study on random forest algorithm..

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., WIRANTUGA, N. and MORENO-GARCIA, C.F. 2024. Enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models. In Finkelstein, J., Moskovitch, R. and Parimbelli, E. (eds.) Proceedings of the 22nd Artificial intelligence in medicine international conference 2024 (AIME 2024), 9-12 July 2024, Salt Lake City, UT, USA. Lecture notes in computer science, 14844. Cham: Springer [online], part I, pages 261-272. Available from: https://doi.org/10.1007/978-3-031-66538-7_26

Evidence-based medicine (EBM) represents a cornerstone in medical research, guiding policy and decision-making. However, the robust steps involved in EBM, particularly in the abstract screening stage, present significant challenges to researchers. Nu... Read More about Enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models..

Reparations for chattel slavery: a call from the "periphery" to decolonise international (human rights) law. (2024)
Presentation / Conference Contribution
NESHAT MOKADEM, L., BIHOLAR, R. and FINDLAY, J. 2024. Reparations for chattel slavery: a call from the "periphery" to decolonise international (human rights) law. Presented at the 6th Cross-cultural conversation of the Interdisciplinary Forum for the Study of Jurisprudence and Value Inquiry in the Non-Western World (JVI), 24 July 2024, Aberdeen, UK.

This seminar was the sixth meeting or cross-cultural conversation (CCC) organised by the Interdisciplinary Forum for the Study of Jurisprudence and Value Inquiry in the Non-Western World (JVI), convened by Olufemi Ilesanmi. This particular event, mod... Read More about Reparations for chattel slavery: a call from the "periphery" to decolonise international (human rights) law..

Improved multi-head bi-directional long and short-term memory temporal convolutional network for lithium-ion batteries state of charge estimation in energy storage systems. (2024)
Presentation / Conference Contribution
LI, Y., WANG, S., LIU, D., CUI, Y., FERNANDEZ, C. and BLAABJERG, F. 2024. Improved multi-head bi-directional long and short-term memory temporal convolutional network for lithium-ion batteries state of charge estimation in energy storage systems. In Proceedings of the 25th IEEE (Institute of Electrical and Electronics Engineers) China conference on system simulation technology and its application 2024 (CCSSTA 2024), 21-23 July 2024, Tianjin, China. Piscataway: IEEE [online], pages 581-586. Available from: https://doi.org/10.1109/CCSSTA62096.2024.10691761

Lithium-ion batteries with their high voltage, large capacity, high discharge rate, no memory effect, and green environmental protection advantages are widely used in communication, power stations, backup power, and other energy storage fields. Accur... Read More about Improved multi-head bi-directional long and short-term memory temporal convolutional network for lithium-ion batteries state of charge estimation in energy storage systems..

Remaining useful life prediction hybrid model of lithium-ion battery based on improved GWO-LightGBM. (2024)
Presentation / Conference Contribution
ZHOU, Y., WANG, S., SHEN, X., SOJIB, A.S.M. and FERNANDEZ, C. 2024. Remaining useful life prediction hybrid model of lithium-ion battery based on improved GWO-LightGBM. In Proceedings of the 25th IEEE (Institute of Electrical and Electronics Engineers) China conference on system simulation technology and its application 2024 (CCSSTA 2024), 21-23 July 2024, Tianjin, China. Piscataway: IEEE [online], pages 553-556. Available from: https://doi.org/10.1109/CCSSTA62096.2024.10691744

Lithium-ion batteries, as the core of new energy vehicles, determine the safety of new energy vehicles. Remaining useful life of the battery is the most important parameter, and it is particularly important to estimate the remaining life accurately.... Read More about Remaining useful life prediction hybrid model of lithium-ion battery based on improved GWO-LightGBM..

COIL@UArctic: inclusive approaches to educational network development. (2024)
Presentation / Conference Contribution
CRAWFORD, I. 2024. COIL@UArctic: inclusive approaches to educational network development. In Proceedings of the 16th International conference on education and new learning technologies (EDULEARN24), 1-3 July 2024, Palma, Spain. Valencia: IATED Academy [online], pages 5894-5900. Available from: https://doi.org/10.21125/edulearn.2024.1414

COIL@UArctic is a new University of the Arctic thematic network designed to promote and facilitate collaborative online international learning and biodiversity education. COIL (Collaborative Online International Learning) is a sustained educational a... Read More about COIL@UArctic: inclusive approaches to educational network development..

Mining potentially explanatory patterns via partial solutions. (2024)
Presentation / Conference Contribution
CATALANO, G.A.P.I., BROWNLEE, A.E.I., CAIRNS, D., MCCALL, J. and AINSLIE, R. 2024. Mining potentially explanatory patterns via partial solutions. In GECCO'24 companion: proceedings of the 2024 Genetic and evolutionary computation conference companion 2024 (GECCO'24 companion), 14-18 July 2024, Melbourne, Australia. New York: ACM [online], pages 567-570. Available from: https://doi.org/10.1145/3638530.3654318

We introduce Partial Solutions to improve the explainability of genetic algorithms for combinatorial optimization. Partial Solutions represent beneficial traits found by analyzing a population, and are presented to the user for explainability, but al... Read More about Mining potentially explanatory patterns via partial solutions..

Cost and performance comparison of holistic solution approaches for complex supply chains on a novel linked problem benchmark. (2024)
Presentation / Conference Contribution
OGUNSEMI, A., MCCALL, J., ZAVOIANU, C. and CHRISTIE, L.A. 2024. Cost and performance comparison of holistic solution approaches for complex supply chains on a novel linked problem benchmark. In Proceedings of the Genetic and evolutionary computation conference 2024 (GECCO'24), 14-18 July 2024, Melbourne, Australia. New York: Association for Computing Machinery (ACM) [online], pages 1327- 1335. Available from: https://doi.org/10.1145/3638529.3654163

Modern supply chains are complex structures of interacting units exchanging goods and services. Business decisions made by individual units in the supply chain have knock-on effects on decisions made by successor units in the chain. Linked Optimisati... Read More about Cost and performance comparison of holistic solution approaches for complex supply chains on a novel linked problem benchmark..

A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students. (2024)
Presentation / Conference Contribution
CLEAR, T., CAJANDER, A., CLEAR, A., MCDERMOTT, R., BERGQVIST, A., DANIELS, M., DIVITINI, M., FORSHAW, M., HUMBLE, N., KASINIDOU, M., KLEANTHOUS, S., KULTUR, C., PARVINI, G., POLASH, M. and ZHU, T. 2024. A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students. In Monga, M., Lonati, V. Barendsen, E. et al. (eds.) ITiCSE 2024: innovation and technology in computer science education: proceedings of the 29th Innovation and technology in computer science education 2024 (ITiCSE 2024), 8-10 July 2024, Milan, Italy. New York: ACM [online], volume 2, pages 757-758. Available from: https://doi.org/10.1145/3649405.3659527

As Artificial Intelligence (AI) continues to make its presence felt in transforming workplaces around the world, and the Information Technology industry in particular, it is essential to understand its impact on the work practices of IT professionals... Read More about A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students..

Curriculum analysis for data systems education. (2024)
Presentation / Conference Contribution
MIEDEMA, D., TAIPALUS, T., AJANOVSKI, V.V., ALAWINI, A., GOODFELLOW, M., LIUT, M., PELTSVERGER, S. and YOUNG, T. 2024. Curriculum analysis for data systems education. In Monga, M., Lonati, V. Barendsen, E. et al. (eds.) ITiCSE 2024: innovation and technology in computer science education: proceedings of the 29th Innovation and technology in computer science education 2024, 8-10 July 2024, Milan, Italy. New York: ACM [online], volume 2, pages 761-762. Available from: https://doi.org/10.1145/3649405.3659529

The field of data systems has seen quick advances due to the popularization of data science, machine learning, and real-time analytics. In industry contexts, system features such as recommendation systems, chatbots and reverse image search require ef... Read More about Curriculum analysis for data systems education..

Sparse autoencoder based hyperspectral anomaly detection with the singular spectrum analysis based spectral denoising. (2024)
Presentation / Conference Contribution
LI, Y., REN, J., GAO, Z. and SUN, G. 2024. Sparse autoencoder based hyperspectral anomaly detection with the singular spectrum analysis based spectral denoising. In Proceedings of the 2024 IEEE International geoscience and remote sensing symposium (IGARSS 2024), Athens, Greece, 7-12 July 2024. Piscataway: IEEE [online], pages 9210-9213. Available from: https://doi.org/10.1109/igarss53475.2024.10641314

As an effective tool for monitoring surface irregularities in remote sensing, hyperspectral anomaly detection (HAD) has garnered increasing attention. However, how to improve the detection accuracy remains a formidable challenge, due mainly to the no... Read More about Sparse autoencoder based hyperspectral anomaly detection with the singular spectrum analysis based spectral denoising..

A novel surrogate model for variable-length encoding and its application in optimising deep learning architecture. (2024)
Presentation / Conference Contribution
DANG, T., NGUYEN, T.T., MCCALL, J., HAN, K. and LIEW, A.W.-C. 2024. A novel surrogate model for variable-length encoding and its application in optimising deep learning architecture. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Congress on evolutionary computation (CEC 2024), 30 June - 05 July 2024, Yokohama, Japan. Available from: https://doi.org/10.1109/CEC60901.2024.10611960

Deep neural networks (DNN) has achieved great successes across multiple domains. In recent years, a number of approaches have emerged on automatically finding the optimal DNN configurations. A technique among these approaches which show great promise... Read More about A novel surrogate model for variable-length encoding and its application in optimising deep learning architecture..

VISTA: a variable length genetic algorithm and LSTM-based surrogate assisted ensemble selection algorithm in multiple layers ensemble system. (2024)
Presentation / Conference Contribution
HAN, K., NGUYEN, T.T., VU, V.A., LIEW, A.W.-C., DANG, T. and NGUYEN, T.T. 2024. VISTA: a variable length genetic algorithm and LSTM-based surrogate assisted ensemble selection algorithm in multiple layers ensemble system. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Congress on evolutionary computation (CEC 2024), 30 June - 05 July 2024, Yokohama, Japan. Piscataway: IEEE [online], article 10612029. Available from: https://doi.org/10.1109/CEC60901.2024.10612029

We proposed a novel ensemble selection method called VISTA for multiple layers ensemble systems (MLES). Our ensemble model consists of multiple layers of ensemble of classifiers (EoC) in which the EoC in each layer is trained on the data generated by... Read More about VISTA: a variable length genetic algorithm and LSTM-based surrogate assisted ensemble selection algorithm in multiple layers ensemble system..

Meta skills and level learning outcomes: is there a miss-match? (2024)
Presentation / Conference Contribution
BREMNER, P.A.M. and PIRIE, E. 2024. Meta skills and level learning outcomes: is there a miss-match? Presented at the 2024 Advanced HE teaching and learning conference: future-focused education: innovation, inclusion and impact, 2-4 July 2024, Nottingham, UK.

The authors conducted a qualitative research over an academic year using six modules in six creative degrees to evaluate if students and staff were able to articulate what meta skills they have learned on a module. In four out of the six modules stud... Read More about Meta skills and level learning outcomes: is there a miss-match?.

An enterprising approach to postgraduate engineering courses for sustainable futures. (2024)
Presentation / Conference Contribution
IYALLA, I., MOULE, C., CHARLES, S. and MAHON, R. 2024. An enterprising approach to postgraduate engineering courses for sustainable futures. Presented at the 2024 Advance HE teaching and learning conference: future-focused education: innovation, inclusion and impact, 2-4 July 2024, Nottingham, UK.

This interactive session is for HE educators seeking to align their teaching to Advance HE's strategic objectives of incorporating "experiential learning, working in multidisciplinary teams on real-world challenges pivotal in cultivating essential co... Read More about An enterprising approach to postgraduate engineering courses for sustainable futures..

Who's the "pioneer"? A critical examination of "pioneer journalism" from an indigenous perspective. (2024)
Presentation / Conference Contribution
ANDERSON, B. and HALABI, N. 2024. Who's the "pioneer"? A critical examination of "pioneer journalism" from an indigenous perspective. Presented at the 2024 International Association for Media and Communication Research conference (IAMCR 2024): weaving people together: communicative projects of decolonising, engaging and listening, 30 June - 4 July 2024, Christchurch, New Zealand.

Journalism scholarship has been preoccupied with discourses of futures thinking and reimagining what journalism could be (Zelizer, Boczkowski, and Anderson, 2022), leading to the emergence of new conceptual frameworks such as "pioneer journalism", wh... Read More about Who's the "pioneer"? A critical examination of "pioneer journalism" from an indigenous perspective..

A zero-shot monolingual dual stage information retrieval system for Spanish biomedical systematic literature reviews. (2024)
Presentation / Conference Contribution
OFORI-BOATENG, R., ACEVES-MARTINS, M., WIRATUNGA, N. and MORENO-GARCIA, C. 2024. A zero-shot monolingual dual stage information retrieval system for Spanish biomedical systematic literature reviews. In Duh, K., Gomez, H. and Bethard, S. (eds.) Proceedings of the 2024 North American Chapter of the Association for Computational Linguistics conference (NAACL 2024): human language technologies, 16-21 June 2024, Mexico City, Mexico. Stroudsburg, PA: ACL [online], volume 1: long papers, pages 3725-3736. Available from: https://doi.org/10.18653/v1/2024.naacl-long.206

Systematic Reviews (SRs) are foundational in healthcare for synthesising evidence to inform clinical practices. Traditionally skewed towards English-language databases, SRs often exclude significant research in other languages, leading to potential b... Read More about A zero-shot monolingual dual stage information retrieval system for Spanish biomedical systematic literature reviews..

What non-mainstream journalism can(not) do: the "affect economy" of four journalism startups in Malaysia, Pakistan, Romania and the UK. (2024)
Presentation / Conference Contribution
ANDERSON, B. 2024. What non-mainstream journalism can(not) do: the "affect economy" of four journalism startups in Malaysia, Pakistan, Romania and the UK. Presented at the 2024 Auckland University of Technology Research Centre for Journalism, Media and Democracy conference (JMAD Conference 2024): political economy of journalism, an International Association for Media and Communication Research pre-conference, 27 June 2024, Auckland, New Zealand.

Recognising that journalism operates within various constraints, scholars have theorised the relationship between journalism and its environment through a hierarchical model of influences (Shoemaker and Reese, 1996). Recently, there has been a recons... Read More about What non-mainstream journalism can(not) do: the "affect economy" of four journalism startups in Malaysia, Pakistan, Romania and the UK..