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All Outputs (1027)

MADONNA: browser-based malicious domain detection through optimized neural network with feature analysis. (2024)
Conference Proceeding
SENANAYAKE, J., RAJAPAKSHA, S., YANAI, N., KOMIYA, C. and KALUTARAGE, H. 2024. MADONNA: browser-based malicious domain detection through optimized neural network with feature analysis. In Meyer, N. and Grocholewska-Czuryło, A. (eds.) Revised selected papers from the proceedings of the 38th International conference on ICT systems security and privacy protection (IFIP SEC 2023), 14-16 June 2023, Poznan, Poland. IFIP advances in information and communication technology, 679. Cham: Springer [online], pages 279-292. Available from: https://doi.org/10.1007/978-3-031-56326-3_20

The detection of malicious domains often relies on machine learning (ML), and proposals for browser-based detection of malicious domains with high throughput have been put forward in recent years. However, existing methods suffer from limited accurac... Read More about MADONNA: browser-based malicious domain detection through optimized neural network with feature analysis..

Enhancing security assurance in software development: AI-based vulnerable code detection with static analysis. (2024)
Conference Proceeding
RAJAPAKSHA, S., SENANAYAKE, J., KALUTARAGE, H. and AL-KADRI, M.O. 2024. Enhancing security assurance in software development: AI-based vulnerable code detection with static analysis. In Katsikas, S. et al. (eds.) Computer security: revised selected papers from the proceedings of the International workshops of the 28th European symposium on research in computer security (ESORICS 2023 International Workshops), 25-29 September 2023, The Hague, Netherlands. Lecture notes in computer science, 14399. Cham: Springer [online], part II, pages 341-356. Available from: https://doi.org/10.1007/978-3-031-54129-2_20

The presence of vulnerable source code in software applications is causing significant reliability and security issues, which can be mitigated by integrating and assuring software security principles during the early stages of the development lifecyc... Read More about Enhancing security assurance in software development: AI-based vulnerable code detection with static analysis..

Computer security: revised selected papers from the proceedings of the International workshops of the 28th European symposium on research in computer security (ESORICS 2023 International Workshops) (2024)
Conference Proceeding
KATSIKAS, S. et al. (eds.) 2024. Computer security: revised selected papers from the proceedings of the International workshops of the 28th European symposium on research in computer security (ESORICS 2023 International Workshops), 25-29 September 2023, The Hague, Netherlands. Lecture notes in computer science, 14399. Cham: Springer [online], part II. Available from: https://doi.org/10.1007/978-3-031-54129-2

This is the proceedings of seven of the international workshops that were held as part of the 28th edition of the European Symposium on Research in Computer Security (ESORICS).

Mitigating gradient inversion attacks in federated learning with frequency transformation. (2024)
Conference Proceeding
PALIHAWADANA, C., WIRATUNGA, N., KALUTARAGE, H. and WIJEKOON, A. 2024. Mitigating gradient inversion attacks in federated learning with frequency transformation. In Katsikas, S. et al. (eds.) Computer security: revised selected papers from the proceedings of the International workshops of the 28th European symposium on research in computer security (ESORICS 2023 International Workshops), 25-29 September 2023, The Hague, Netherlands. Lecture notes in computer science, 14399. Cham: Springer [online], part II, pages 750-760. Available from: https://doi.org/10.1007/978-3-031-54129-2_44

Centralised machine learning approaches have raised concerns regarding the privacy of client data. To address this issue, privacy-preserving techniques such as Federated Learning (FL) have emerged, where only updated gradients are communicated instea... Read More about Mitigating gradient inversion attacks in federated learning with frequency transformation..

FedREVAN: real-time detection of vulnerable android source code through federated neural network with XAI. (2024)
Conference Proceeding
SENANAYAKE, J., KALUTARAGE, H., PETROVSKI, A., AL-KADRI, M.O. and PIRAS, L. 2024. FedREVAN: real-time detection of vulnerable android source code through federated neural network with XAI. In Katsikas, S. et al. (eds.) Computer security: revised selected papers from the proceedings of the International workshops of the 28th European symposium on research in computer security (ESORICS 2023 International Workshops), 25-29 September 2023, The Hague, Netherlands. Lecture notes in computer science, 14399. Cham: Springer [online], part II, pages 426-441. Available from: https://doi.org/10.1007/978-3-031-54129-2_25

Adhering to security best practices during the development of Android applications is of paramount importance due to the high prevalence of apps released without proper security measures. While automated tools can be employed to address vulnerabiliti... Read More about FedREVAN: real-time detection of vulnerable android source code through federated neural network with XAI..

Digital creativity in urban interventions: using technology as an engagement and idea inducing tool. (2024)
Conference Proceeding
BELKOURI, D. and DOUNAS, T. 2024. Digital creativity in urban interventions: using technology as an engagement and idea inducing tool. In Di Marco, G., Lombardi, D. and Tedjosaputro, M. (eds.) Creativity in the age of digital reproduction: proceedings of the 1st xArch symposium (xArch 2023), 11-12 November 2023, Suzhou, China. Lecture notes in civil engineering, 343. Singapore: Springer [online], pages 103-110. Available from: https://doi.org/10.1007/978-981-97-0621-1_13

The urban planning discipline is increasingly turning to specialized technologies to better understand the multiple and complex processes within cities. Automation is already reshaping infrastructure and urban ecosystems. This study seeks to reconcil... Read More about Digital creativity in urban interventions: using technology as an engagement and idea inducing tool..

Factors influencing mobile app user experience: an analysis of education app user reviews. (2024)
Conference Proceeding
ARAMBEPOLA, N., MUNASINGHE, L. and WARNAJITH, N. 2024. Factors influencing mobile app user experience: an analysis of education app user reviews. In 4th International conference on advanced research in computing 2024 (ICARC 2024), 21-24 February 2024, Belihuloya, Sri Lanka. Piscataway: IEEE [online], pages 223-228. Available from: https://doi.org/10.1109/ICARC61713.2024.10499727

In the competitive digital world, user reviews considered as the most vital source of user feedback, provide valuable insights that reflect the success of software applications in terms of user experience (UX). As user-generated content grows exponen... Read More about Factors influencing mobile app user experience: an analysis of education app user reviews..

Steps towards a philosophy of computing education. (2024)
Conference Proceeding
MCDERMOTT, R., DANIELS, M. and FREZZA, S.T. 2024. Steps towards a philosophy of computer education. In Mühling, A. and Jormanainen, I. (eds.) Proceedings of the 23rd Koli calling international conference on computing education research 2023, 13-18 November 2024, Koli, Finland. New York: ACM [online], article 20. Available from: https://doi.org/10.1145/3631802.3631817

Is it meaningful to talk about the philosophy of computing education? What is its subject matter and methods? Is it different from, or a subfield of, the philosophy of science education or the philosophy of technology education or the philosophy of e... Read More about Steps towards a philosophy of computing education..

The impact of airtightness and low ventilation on air quality in domestic buildings and their effect on occupants. (2024)
Conference Proceeding
OKOM, C. and KOUIDER, T. 2024. The impact of airtightness and low ventilation on air quality in domestic buildings and their effect on occupants. In Kouider, T. and Hayden, I. (eds.) 2024. Proceedings of the 10th International congress on architectural technology (ICAT 2024): architectural technology transformation, 19 January 2024, Galway, Ireland. Aberdeen: Robert Gordon University [online], pages 51-67. Available from: https://tinyurl.com/ybh4ktdn

One of the facets of responding to climate change is energy conservation which has become so imperative to both domestic and non-domestic buildings. The increasing idea of better insulation and airtightness in a bid to save energy in buildings tended... Read More about The impact of airtightness and low ventilation on air quality in domestic buildings and their effect on occupants..

Proceedings of the 10th International congress on architectural technology (ICAT 2024): architectural technology transformation. (2024)
Conference Proceeding
KOUIDER, T. and HAYDEN, I. (eds.) 2024. Proceedings of the 10th International congress on architectural technology (ICAT 2024): architectural technology transformation, 19 January 2024, Galway, Ireland. Aberdeen: Robert Gordon University [online]. Available from: https://tinyurl.com/ybh4ktdn

The profession of architectural technology is influential in the transformation of the built environment regionally, nationally, and internationally. The congress provides a platform for industry, educators, researchers, and the next generation of bu... Read More about Proceedings of the 10th International congress on architectural technology (ICAT 2024): architectural technology transformation..

Is artists' exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks? (2023)
Conference Proceeding
BLACKWOOD, J., JONES, S., BUTLER, D., CALLAGHAN, B., POULTER, S., SEERS, L. and WRIGHT, J. (eds.) 2023. Is artists’ exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks? Proceedings of the 2023 Aberdeen mini summit, 16 June 2023, Aberdeen, UK. Wakefield: Axis [online]. Available from: https://www.axisweb.org/aberdeensummit/

Is artists' exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks? Developed by independent arts researcher Dr Susan Jones and organised collaboratively with Dr Jon Blackwood, Gray's School of Ar... Read More about Is artists' exploitation inevitable or is it just a question of identifying effective, enduring, preventative frameworks?.

MicroConceptBERT: concept-relation based document information extraction framework. (2023)
Conference Proceeding
SILVA, K., SILVA, T. and NANAYAKKARA, G. 2023. MicroConceptBERT: concept-relation based document information extraction framework. In Proceedings of the 7th SLAAI (Sri Lanka Association for Artificial Intelligence) International conference on artificial intelligence 2023 (SLAAI-ICAI 2023), 23-24 November 2023, Kelaniya, Sri Lanka. Piscataway: IEEE [online], article number 10365022. Available from: https://doi.org/10.1109...ICAI59257.2023.10365022

Extracting information from documents is a crucial task in natural language processing research. Existing information extraction methodologies often focus on specific domains, such as medicine, education or finance, and are limited by language constr... Read More about MicroConceptBERT: concept-relation based document information extraction framework..

A weighted ensemble of regression methods for gross error identification problem. (2023)
Conference Proceeding
DOBOS, D., DANG, T., NGUYEN, T.T., MCCALL, J., WILSON, A., CORBETT, H. and STOCKTON, P. 2023. A weighted ensemble of regression methods for gross error identification problem. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) Symposium series on computational intelligence (SSCI 2023), 5-8 December 2023, Mexico City, Mexico. Piscataway: IEEE [online], pages 413-420. Available from: https://doi.org/10.1109/SSCI52147.2023.10371882

In this study, we proposed a new ensemble method to predict the magnitude of gross errors (GEs) on measurement data obtained from the hydrocarbon and stream processing industries. Our proposed model consists of an ensemble of regressors (EoR) obtaine... Read More about A weighted ensemble of regression methods for gross error identification problem..

An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries. (2023)
Conference Proceeding
WU, F., WANG, S., LIU, D., CAO, W. and FERNANDEZ, C. 2023. An improved bidirectional gate recurrent unit combined with smoothing filter algorithm for state of energy estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 363-368. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349332

The accurate estimation of state of energy (SOE) is the key to the rational energy distribution of lithium-ion battery based energy storage equipment. This paper proposes an improved bidirectional gate recursive element combined with a time-varying b... Read More about An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries..

An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. (2023)
Conference Proceeding
WANG, S., HAI, N., YANG, J. and FERNANDEZ, C. 2023. An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 369-372. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349297

The state of charge estimation with high precision plays an important role in the usage of lithium-ion batteries in electronic vehicles. An improved genetic-backpropagation neural network (GA-BPNN) is proposed to predict the state of charge with high... Read More about An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries..

An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. (2023)
Conference Proceeding
ZHU, C., WANG, S., YU, C., HAI, N., FERNANDEZ, C. and SUN, Z. 2023. An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 358-362. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349263

State of Charge (SOC) is one of the key indicators for evaluating the state of electric vehicles. In order to cope with the uncertainty of random noise in nonlinear systems, an improved robust function correction-adaptive extended Kalman filtering (R... Read More about An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries..

Building time, cost and quality performance of modern methods of construction in a live research project. (2023)
Conference Proceeding
ATANASOV, V., GREENWOOD, D.J., MADEBWE, T.M. and COX, R. 2023. Building time, cost and quality performance of modern methods of construction in a live research project. In Tutesigensi, A. and Neilson, C.J. (eds.) Proceedings of the 39th Association of Researchers in Construction Management annual conference (ARCOM 2023), 4-6 September 2023, Leeds, UK. London: ARCOM [online], pages 457-466. Available from: https://www.arcom.ac.uk/-docs/archive/2023-Indexed-Papers.pdf

The use of modern methods of construction (MMC) has been embraced by the construction sector of many countries, largely due to assertions that some MMC processes can be economically effective and efficient. MMC have been received as opportunities by... Read More about Building time, cost and quality performance of modern methods of construction in a live research project..

On the role of dialogue models in the age of large language models. (2023)
Conference Proceeding
WELLS, S. and SNAITH, M. 2023. On the role of dialogue models in the age of large language models. In Grasso, F., Green, N.L., Schneider, J. and Wells, S. (eds.) Proceedings of the 23rd Workshop on computational models of natural argument (CMNA 2023), 3 December 2023, [virtual event]. CEUR workshop proceedings, 3614. Aachen: CEUR-WS [online], pages 49-51. Available from: https://ceur-ws.org/Vol-3614/abstract2.pdf

We argue that Machine learning, in particular the currently prevalent generation of Large Language Models (LLMs), can work constructively with existing normative models of dialogue as exemplified by dialogue games, specifically their computational ap... Read More about On the role of dialogue models in the age of large language models..

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. (2023)
Conference Proceeding
FOUGH, F., JANJUA, G., ZHAO, Y. and DON, A.W. 2023. Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, La Valletta, Malta. Piscataway: IEEE [online], pages 121-126. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317294

Antimicrobial resistance (AMR) is an increasingly critical public health issue necessitating precise and efficient methodologies to achieve prompt results. The accurate and early detection of AMR is crucial, as its absence can pose life-threatening r... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms..

Tensile and impact properties of melt-blended nylon 6/ethylene-octene copolymer/graphene oxide nanocomposites. (2023)
Conference Proceeding
ATTAR, S., CHEN, B., CATALANOTTI, G. and FALZON, B.G. 2023. Tensile and impact properties of melt-blended nylon 6/ethylene-octene copolymer/graphene oxide nanocomposites. In Falzon, B.G. and McCarthy, C. (eds.) Proceedings of the 23rd International conference on composite materials 2023 (ICCM 23), 30 July - 04 August 2023, Belfast, Northern Ireland. Belfast: Queen's University Belfast. Hosted on ICCM-central [online], paper 253. Available from: http://www.iccm-central.org/Proceedings/ICCM23proceedings/index.htm

The addition of stiff nanoparticles to a polymer matrix usually proves beneficial for the enhancement in stiffness and strength, however, the impact strength is usually lowered. Conversely, the use of elastomeric additives can enhance the toughness a... Read More about Tensile and impact properties of melt-blended nylon 6/ethylene-octene copolymer/graphene oxide nanocomposites..