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Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge. (2024)
Presentation / Conference Contribution
JAYAWARDENA, L. and YAPA, P. 2024. Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge. In Zhou, K. (ed.) Computational and experimental simulations in engineering: proceedings of the 30th International conference on computational and experimental engineering and sciences 2024 (ICCES 2024), 3-6 August 2024, Singapore. Mechanisms and machine science, 173. Cham: Springer [online], volume 2, pages 258-281. Available from: https://doi.org/10.1007/978-3-031-77489-8_20

Paraphrasing, the art of rephrasing text while retaining its original meaning, lies at the core of natural language understanding and generation. With the rise of demand for more domain-specialized models, high-quality data is more valued than ever;... Read More about Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge..

Customizable DDoS attack data generation in SDN environments for enhanced machine learning detection models. (2025)
Presentation / Conference Contribution
GAYANTHA, N., RAJAPAKSE, C. and SENANAYAKE, J. 2025. Customizable DDoS attack data generation in SDN environments for enhanced machine learning detection models. In Proceedings of the 25th International conference on advanced research in computing 2025 (ICARC 2025): converging horizons: uniting disciplines in computing research through AI innovation, 19-20 February 2025, Belihuloya, Sri Lanka. Piscataway: IEEE [online], pages 386-391. Available from: https://doi.org/10.1109/icarc64760.2025.10963190

Distributed Denial of Service (DDoS) attacks are a critical threat to the security and reliability of Software-Defined Networking (SDN) environments. Existing datasets for training machine learning (ML) models, such as KDDCup '99 and CICIDS 2017, are... Read More about Customizable DDoS attack data generation in SDN environments for enhanced machine learning detection models..

DevSecOps implementation for continuous security in financial trading software application development. (2025)
Presentation / Conference Contribution
DASANAYAKE, S.D.L.V., SENANAYAKE, J. and WIJAYANAYAKE, W.M.J.I. 2025. DevSecOps implementation for continuous security in financial trading software application development. In Proceedings of the 25th International conference on advanced research in computing 2025 (ICARC 2025): converging horizons: uniting disciplines in computing research through AI innovation, 19-20 February 2025, Belihuloya, Sri Lanka. Piscataway: IEEE [online], pages 457-462. Available from: https://doi.org/10.1109/ICARC64760.2025.10963292

DevSecOps incorporates security into the DevOps workflow, ensuring robust protection throughout the software development lifecycle. This research addresses the security gaps in financial trading applications, where traditional methods often prioritiz... Read More about DevSecOps implementation for continuous security in financial trading software application development..

Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video] (2025)
Data
ZHOU, L., SUN, Y., ZOU, G., HU, H., ZHANG, Y., SU, H., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. [2025]. Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video]. Journal of materials science and technology [online], In Press. Available from: https://doi.org/10.1016/j.jmst.2025.01.082

Conventional manufacturing approaches, including casting, thermal deformation and annealing, have faced great challenges in achieving both exceptional strength and ductility for Mg alloys. Herein, we report an effective strategy for simultaneously en... Read More about Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video].

Towards automated remote inspection of anomalies in offshore components. (2024)
Thesis
TORAL QUIJAS, L.A. 2024. Towards automated remote inspection of anomalies in offshore components. Robert Gordon University, MRes thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2801306

This dissertation marks a significant advancement in offshore structural inspections, focusing on the development, integration and evaluation of advanced deep-learning models. The research encompasses: a thorough literature review, identifying innova... Read More about Towards automated remote inspection of anomalies in offshore components..