All Outputs (79)

A one-dimensional mechanistic model for tracking unsteady slug flow. (2021)
Conference Proceeding
PADRINO, J.C., SRINIL, N., KURUSHINA, V., SWAILES, D., PAIN, C.C. and MATAR, O.K. 2021. A one-dimensional mechanistic model for tracking unsteady slug flow. In Proceedings of the 2021 ASME international mechanical engineering congress and exposition (IMECE2021), 1-5 November 2021, [virtual event]. New York: ASME [online], volume 10: fluids engineering, article number V010T10A004. Available from: https://doi.org/10.1115/IMECE2021-70735

A novel one-dimensional slug tracking mechanistic model for unsteady, upward gas-liquid slug flow in inclined pipes is presented. The model stems from the first principles of mass and momentum conservation applied to a slug unit cell consisting of a... Read More about A one-dimensional mechanistic model for tracking unsteady slug flow..

Invoice smart contracts for design SMEs. (2021)
Conference Proceeding
YOUNGSON, L.M. and DOUNAS, T. 2021. Invoice smart contracts for design SMEs. In Hall, D.M., Chassiakos, A., O'Donnell, J., Nikolic, D. and Xenides, Y. (eds.) Proceedings of the 2021 Conference of European Council on computing in construction (EC3 2021), 26-28 July 2021, [virtual event]. Zurich: European Council for Computing in Construction [online], pages 2-10. Available from: https://doi.org/10.35490/EC3.2021.173

In recent years, Blockchain technology has evolved from its original application in cryptocurrency and can now be used for applications such as Smart Contracts. Smart Contracts automatically excecute transactions without the need for a central author... Read More about Invoice smart contracts for design SMEs..

AI and cybersecurity 2021: proceedings of the 2021 Workshop on AI and cybersecurity (AI-Cybersec 2021) (2021)
Conference Proceeding
SANI, S. and KALUTARAGE, H. (eds.) 2021. AI and cybersecurity 2021: proceedings of the 2021 Workshop on AI and cybersecurity (AI-Cybersec 2021), co-located with the 41st Specialist Group on Artificial Intelligence international conference on artificial intelligence (SGAI 2021), 14 December 2021, [virtual event]. CEUR workshop proceedings, 3125. Aachen: CEUR-WS [online]. Available from: https://ceur-ws.org/Vol-3125/

This volume consists of the papers that were presented at the 1st International Workshop on Artificial Intelligence and Cyber Security, co-located with the 41st SGAI International Conference on Artificial Intelligence (AI-2021) on December 14th, 2021... Read More about AI and cybersecurity 2021: proceedings of the 2021 Workshop on AI and cybersecurity (AI-Cybersec 2021).

Project managers' front-end decision making. (2021)
Conference Proceeding
LAWANI, A., FLIN, R., ADEDOKUN, R. and BENTON, P. 2021. Project managers' front-end decision making. In Proceedings of the 2021 British Academy of Management conference (BAM 2021): recovering from COVID: responsible management and reshaping the economy, 31 August - 3 September 2021, [virtual event]. London: British Academy of Management [online], paper number 493. Available from: https://virtual.oxfordabstracts.com/#/event/1821/submission/493

In project management, Front End Loading (FEL) is a core work process before project authorization or sanction. This stage is where the extent of uncertainty is highest and if properly conducted with optimal decision making, it maximises the potentia... Read More about Project managers' front-end decision making..

Use-case informed task analysis for secure and usable design solutions in rail. (2021)
Conference Proceeding
ALTAF, A., FAILY, S., DOGAN, H., MYLONAS, A. and THRON, E. 2021. Use-case informed task analysis for secure and usable design solutions in rail. In Percia, D.D., Mermoud, A. and Maillart, T. (eds.). Critical information infrastructures security: revised selected papers of 16th international conference on Critical information infrastructures security 2021 (CRITIS 2021), 27-29 September 2021, Lausanne, Switzerland. Lecture notes in computer science, 13139. Cham: Springer [online], pages 168-185. Available from: https://doi.org/10.1007/978-3-030-93200-8_10

Meeting secure and usable design goals needs the combined effort of safety, security and human factors experts. Human factors experts rely on a combination of cognitive and hierarchical task analysis techniques to support their work. We present an ap... Read More about Use-case informed task analysis for secure and usable design solutions in rail..

Teaching through a global pandemic: educational landscapes before, during and after COVID-19. (2021)
Conference Proceeding
SIEGEL, A.A., ZARB, M., ALSHAIGY, B., BLANCHARD, J., CRICK, T., GLASSEY, R., HOTT, J.R., LATULIPE, C., RIEDESEL, C., SENAPATHI, M., SIMON and WILLIAMS, D. 2021. Teaching through a global pandemic: educational landscapes before, during and after COVID-19. In ITiCSE-WGR '21: proceedings of the 26th ACM (Association for Computing Machinery) conference Working group reports on Innovation and technology in computer science education 2021, June 26 - July 1 2021, [virtual conference]. New York: ACM [online], pages 1-25. Available from: https://doi.org/10.1145/3502870.3506565

The coronavirus (COVID-19) pandemic has forced an unprecedented global shift within higher education in how instructors communicate with and educate students. This necessary paradigm shift has compelled educators to take a critical look at their teac... Read More about Teaching through a global pandemic: educational landscapes before, during and after COVID-19..

Predicting CO2 and CH4 transport in landfill gas using porous inorganic membranes operated in the Darcy regime. (2021)
Conference Proceeding
GOBINA, E., OGUNLUDE, P., ABUNUMAH, O., GIWA, A. and MUHAMMAD-SUKKI, F. 2021. Predicting CO2 and CH4 transport in landfill gas using porous inorganic membranes operated in the Darcy regime. In Proceedings of 2021 International congress of Scientific Advances (ICONSAD'21), 22-25 December 2021, [virtual conference]. Turkey: ICONSAD [online], pages 770-784. Available from: https://tinyurl.com/2p8uy2rh

The present work is focusing on the utilization of previously fabricated membrane to study the effect of pressure drop and temperature on permeability. Mass transfer considerations were used under previously optimized conditions. Subsequently, gas pe... Read More about Predicting CO2 and CH4 transport in landfill gas using porous inorganic membranes operated in the Darcy regime..

Streaming multi-layer ensemble selection using dynamic genetic algorithm. (2021)
Conference Proceeding
LUONG, A.V., NGUYEN, T.T. and LIEW, A.W.-C. 2021. Streaming multi-layer ensemble selection using dynamic genetic algorithm. In Zhou, J., Salvado, O., Sohel, F., Borges, P. and Wang, S. (eds.). Proceedings of 2021 Digital image computing: techniques and applications (DICTA 2021), 29 November - 1 December 2021, Gold Coast, Australia. Piscataway: IEEE [online], article 9647220. Available from: https://doi.org/10.1109/dicta52665.2021.9647220

In this study, we introduce a novel framework for non-stationary data stream classification problems by modifying the Genetic Algorithm to search for the optimal configuration of a streaming multi-layer ensemble. We aim to connect the two sub-fields... Read More about Streaming multi-layer ensemble selection using dynamic genetic algorithm..

DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods. (2021)
Conference Proceeding
WIRATUNGA, N., WIJEKOON, A., NKISI-ORJI, I., MARTIN, K., PALIHAWADANA, C. and CORSAR, D. 2021. DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods. In Proceedings of 33rd IEEE (Institute of Electrical and Electronics Engineers) International conference on tools with artificial intelligence 2021 (ICTAI 2021), 1-3 November 2021, Washington, USA [virtual conference]. Piscataway: IEEE [online], pages 1466-1473. Available from: https://doi.org/10.1109/ICTAI52525.2021.00233

Counterfactual explanations focus on 'actionable knowledge' to help end-users understand how a machine learning outcome could be changed to a more desirable outcome. For this purpose a counterfactual explainer needs to discover input dependencies tha... Read More about DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods..

Why don't you tell me what I need to know? Self-flipped classroom and students' personal epistemology. (2021)
Conference Proceeding
DANIELS, M., CAJANDER, A., MCDERMOTT, R., VASILCHEKO, A. and GOLAY, D. 2021. Why don't you tell me what I need to know? Self-flipped classroom and students' personal epistemology. In Proceedings of 2021 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2021), 13-16 October 2021, Lincoln, USA [virtual conference]. Piscataway: IEEE [online], article 9637355. Available from: https://doi.org/10.1109/FIE49875.2021.9637355

This is a full research paper addressing the crucial element of understanding students when creating learning environments. It is for instance important to be aware of how students appreciate our way of teaching and to consider consequences of studen... Read More about Why don't you tell me what I need to know? Self-flipped classroom and students' personal epistemology..

Context, competency and authenticity in STEM education. (2021)
Conference Proceeding
MCDERMOTT, R. and DANIELS, M. 2021. Context, competency and authenticity in STEM education. In Proceedings of 2021 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2021), 13-16 October 2021, Lincoln, USA [virtual conference]. Piscataway: IEEE [online], article 9637197. Available from: https://doi.org/10.1109/FIE49875.2021.9637197

This Research Full Paper presents work which links a consideration of the concept of context with that of learning competency and that of educational authenticity in STEM subjects. The word 'context' is very familiar in both everyday language and in... Read More about Context, competency and authenticity in STEM education..

Comparative study of malware detection techniques for industrial control systems. (2021)
Conference Proceeding
REID, D., HARRIS, I. and PETROVSKI, A. 2021. Comparative study of malware detection techniques for industrial control systems. In Moradpoor, N., Elçi, A. and Petrovski, A. (eds.) Proceedings of 14th International conference on Security of information and networks 2021 (SIN 2021), 15-17 December 2021, [virtual conference]. Piscataway: IEEE [online], article 19. Available from: https://doi.org/10.1109/SIN54109.2021.9699167

Industrial Control Systems are essential to managing national critical infrastructure, yet the security of these systems historically relies on isolation. The adoption of modern software solutions, and the unique challenges presented by legacy system... Read More about Comparative study of malware detection techniques for industrial control systems..

Improving intrusion detection through training data augmentation. (2021)
Conference Proceeding
OTOKWALA, U., PETROVSKI, A. and KALUTARAGE, H. 2021. Improving intrusion detection through training data augmentation. In Moradpoor, N., Elçi, A. and Petrovski, A. (eds.) Proceedings of 14th International conference on Security of information and networks 2021 (SIN 2021), 15-17 December 2021, [virtual conference]. Piscataway: IEEE [online], article 17. Available from: https://doi.org/10.1109/SIN54109.2021.9699293

Imbalanced classes in datasets are common problems often found in security data. Therefore, several strategies like class resampling and cost-sensitive training have been proposed to address it. In this paper, we propose a data augmentation strategy... Read More about Improving intrusion detection through training data augmentation..

Automated microsegmentation for lateral movement prevention in industrial Internet of Things (IIoT). (2021)
Conference Proceeding
ARIFEEN, M., PETROVSKI, A. and PETROVSKI, S. 2021. Automated microsegmentation for lateral movement prevention in industrial Internet of Things (IIot). In Moradpoor, N., Elçi, A. and Petrovski, A. (eds.) Proceedings of 14th International conference on Security of information and networks 2021 (SIN 2021), 15-17 December 2021, [virtual conference]. Piscataway: IEEE [online], article 28. Available from: https://doi.org/10.1109/SIN54109.2021.9699232

The integration of the IoT network with the Operational Technology (OT) network is increasing rapidly. However, this incorporation of IoT devices into the OT network makes the industrial control system vulnerable to various cyber threats. Hacking an... Read More about Automated microsegmentation for lateral movement prevention in industrial Internet of Things (IIoT)..

Memory efficient federated deep learning for intrusion detection in IoT networks. (2021)
Conference Proceeding
ZAKARIYYA, A. KALUTARAGE, H. and AL-KADRI, M.O. 2021. Memory efficient federated deep learning for intrusion detection in IoT networks. In Sani, S. and Kalutarage, H. (eds.) AI and cybersecurity 2021: proceedings of the 2021 Workshop on AI and cybersecurity (AI-Cybersec 2021), co-located with the 41st Specialist Group on Artificial Intelligence international conference on artificial intelligence (SGAI 2021), 14 December 2021, [virtual event]. CEUR workshop proceedings, 3125. Aachen: CEUR-WS [online], pages 85-99. Available from: http://ceur-ws.org/Vol-3125/paper7.pdf

Deep Neural Networks (DNNs) methods are widely proposed for cyber security monitoring. However, training DNNs requires a lot of computational resources. This restricts direct deployment of DNNs to resource-constrained environments like the Internet o... Read More about Memory efficient federated deep learning for intrusion detection in IoT networks..

Reasoning with counterfactual explanations for code vulnerability detection and correction. (2021)
Conference Proceeding
WIJEKOON, A. and WIRATUNGA, N. 2021. Reasoning with counterfactual explanations for code vulnerability detection and correction. In Sani, S. and Kalutarage, H. (eds.) AI and cybersecurity 2021: proceedings of the 2021 Workshop on AI and cybersecurity (AI-Cybersec 2021), co-located with the 41st Specialist Group on Artificial Intelligence international conference on artificial intelligence (SGAI 2021), 14 December 2021, [virtual event]. CEUR workshop proceedings, 3125. Aachen: CEUR-WS [online], pages 1-13. Available from: http://ceur-ws.org/Vol-3125/paper1.pdf

Counterfactual explanations highlight "actionable knowledge" which helps the end-users to understand how a machine learning outcome could be changed to a more desirable outcome. In code vulnerability detection, understanding these "actionable" correc... Read More about Reasoning with counterfactual explanations for code vulnerability detection and correction..

Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms. (2021)
Conference Proceeding
FYVIE, M., MCCALL, J.A.W. and CHRISTIE, L.A. 2021. Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms. In Bramer, M. and Ellis, R (eds.) Artificial intelligence XXXVIII: proceedings of 41st British Computer Society's Specialist Group on Artificial Intelligence (SGAI) Artificial intelligence international conference 2021 (AI-2021) (SGAI-AI 2021), 14-16 December 2021, [virtual conference]. Lecture notes in computer science, 13101. Cham: Springer [online], pages 89-102. Available from: https://doi.org/10.1007/978-3-030-91100-3_7

The generation of explanations regarding decisions made by population-based meta-heuristics is often a difficult task due to the nature of the mechanisms employed by these approaches. With the increase in use of these methods for optimisation in indu... Read More about Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms..

An analytical prediction of breast cancer using machine learning. (2021)
Conference Proceeding
CHILUKURI, N.V.S.G.S.S., BANO, S., THOLETI, G.S.R., KAMMA, S.P. and NIHARIKA, G.L. 2022. An analytical prediction of breast cancer using machine learning. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 185-202. Available from: https://doi.org/10.1007/978-981-16-3690-5_17

Breast cancer is one of the most frequent cancers among women, affecting about 2 million people. There is 98% chance of 5-years survival rate if detected at early stage. The data about breast cancer used in this paper is the Wisconsin dataset, which... Read More about An analytical prediction of breast cancer using machine learning..

Vocal source builds divergence in gender recognition. (2021)
Conference Proceeding
THOLETI, G.S.R., GHANTA, D., CHILUKURI, N.V.S.G.S.S. and BANO, S. 2022. Vocal source builds divergence in gender recognition. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 171-183. Available from: https://doi.org/10.1007/978-981-16-3690-5_16

The purpose of this study was to investigate whether artificial intelligence could be used to determine a person's gender based on the sound of their voice. The research examined different machine learning and deep learning algorithms for gender clas... Read More about Vocal source builds divergence in gender recognition..

Towards machine learning-driven practices for oil and gas decommissioning: introduction of a new offshore pipeline dataset. (2021)
Conference Proceeding
VUTTIPITTAYAMONGKOL, P., TUNG, A. and ELYAN, E. 2021. Towards machine learning-driven practices for oil and gas decommissioning: introduction of a new offshore pipeline dataset. In Proceedings of the 9th International conference on computer and communications management (ICCCM 2021), 16-18 July 2021, [virtual event]. New York: ACM [online], pages 111-116. Available from: https://doi.org/10.1145/3479162.3479179

Thousands of offshore oil and gas structures worldwide are approaching the end of their operating lifespan. Decommissioning processes are expensive and normally take years to finish as various options need to be analysed based on numerous stakeholder... Read More about Towards machine learning-driven practices for oil and gas decommissioning: introduction of a new offshore pipeline dataset..