All Outputs (86)

Timber joints analysis and design using shape and graph grammar-based machine learning approach: synthetic data preparation of timber joints’ shape and graph grammar for machine learning application. (2023)
Conference Proceeding
YAU, H.M., DOUNAS, T., JABI, W. and LOMBARDI, D. 2023. Timber joints analysis and design using shape and graph grammar-based machine learning approach: synthetic data preparation of timber joints’ shape and graph grammar for machine learning application. In Dokonal, W., Hirschberg, U. and Wurzer, G. (eds.) Digital design reconsidered: proceedings of the 41st Education and research in computer aided architectural design in Europe (eCAADe) conference 2023 (eCAADe 2023), 20-23 September 2023, Graz, Austria. Berlin: eCAADe, volume 1, pages 569-578. Hosted on CumInCAD [online]. Available from: https://doi.org/10.52842/conf.ecaade.2023.1.569

Timber joints had been applied as one of the primary methods across different cultures of building construction. The technique of crafting timber joints uses simple geometry to connect different components without the need of adhesives or fixings. Di... Read More about Timber joints analysis and design using shape and graph grammar-based machine learning approach: synthetic data preparation of timber joints’ shape and graph grammar for machine learning application..

Decentralised additive manufacturing for architecture: exploring the integration of distributed ledger technologies with 3D printing. (2023)
Conference Proceeding
BERDOS, Y., VELE, J. and DOUNAS, T. 2023. Decentralised additive manufacturing for architecture: exploring the integration of distributed ledger technologies with 3D printing. In Dokonal, W., Hirschberg, U. and Wurzer, G. (eds.) Digital design reconsidered: proceedings of the 41st Education and research in computer aided architectural design in Europe (eCAADe) conference 2023 (eCAADe 2023), 20-23 September 2023, Graz, Austria. Berlin: eCAADe, volume 1, pages 709-718. Hosted on CumInCAD [online]. Available from: https://doi.org/10.52842/conf.ecaade.2023.1.709

This paper investigates the potential integration of blockchain and distributed ledger technologies with Additive Manufacturing in the context of architectural design and fabrication. The study aims to identify knowledge gaps, explore the affinity be... Read More about Decentralised additive manufacturing for architecture: exploring the integration of distributed ledger technologies with 3D printing..

Gated recurrent unit autoencoder for fault detection in penicillin fermentation process. (2023)
Conference Proceeding
PETROVSKI, A., ARIFEEN, M. and PETROVSKI, S. 2023. Gated recurrent unit autoencoder for fault detection in penicillin fermentation process. In Kovalev, S., Kotenko, I. and Sukhanov, A. (eds.) Proceedings of the 7th Intelligent information technologies for industry international scientific conference 2023 (IITI'23), 20-25 September 2023, St. Petersburg, Russia, volume 1. Lecture notes in networks and systems (LNNS), 776. Cham: Springer [online], pages 86-95. Available from: https://doi.org/10.1007/978-3-031-43789-2_8

The penicillin fermentation process is a fed-batch system to generate industrial-scale penicillin for antibiotic production. Any fault in the fermentation tank can lead to low-quality penicillin products, which may cause a severe impact on final anti... Read More about Gated recurrent unit autoencoder for fault detection in penicillin fermentation process..

Towards expert systems for improved customer services using ChatGPT as an inference engine. (2023)
Conference Proceeding
EZENKWU, C.P. 2023. Towards expert systems for improved customer services using ChatGPT as an inference engine. In Proceedings of the 2023 IEEE (Institute of electrical and Electronics Engineers) International conference on digital applications, transformation and economy (ICDATE 2023), 14-16 July 2023, Miri, Malaysia, article 10248647. Available from: https://doi.org/10.1109/ICDATE58146.2023.10248647

By harnessing both implicit and explicit customer data, companies can develop a more comprehensive understanding of their consumers, leading to better customer engagement and experience, and improved loyalty. As a result, businesses have embraced man... Read More about Towards expert systems for improved customer services using ChatGPT as an inference engine..

Optical-fibre based sensors for monitoring offshore floating photovoltaic farms. (2023)
Conference Proceeding
STEWART, C., JOSEPH, C.S.J., JOHNY, J., ERDOGAN, N., FOUGH, N. and PRABHU, R. 2023. Optical fibre-based sensors for monitoring offshore floating photovoltaic farms. In Proceedings of 2023 IEEE Oceanic Engineering Society conference and exposition (OCEANS 2023): blue ocean planet earth, 5-8 June 2023, Limerick, Ireland. Piscataway: IEEE [online], document number 10244737. Available from: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244737

Solar photovoltaic farms are seeing increasing expansion into new domains (offshore) in order to harvest the sunlight as society pushes towards reaching Net Zero by 2050. However, photovoltaics are bound by physics, parameters such as temperature and... Read More about Optical-fibre based sensors for monitoring offshore floating photovoltaic farms..

Multimodal, software defined networking for subsea sensing and monitoring. (2023)
Conference Proceeding
STEWART, C., FOUGH, N. and PRABHU, R. 2023. Multimodal, software defined networking for subsea sensing and monitoring. In Proceedings of the 2023 IEEE Oceanic Engineering Society conference and exposition (OCEANS 2023): blue ocean planet earth, 5-8 June 2023, Limerick, Ireland. Piscataway: IEEE [online], document number 10244664. Available from: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244664

The prevalence of oceanic industry and ocean borne interests has given rise to the concept of the Underwater Internet of Things as a vector for automation and data analytics in an environment hostile to anthropomorphic activity. Through the Internet... Read More about Multimodal, software defined networking for subsea sensing and monitoring..

Proceedings of the 6th International workshop on knowledge discovery from healthcare data (KDH@IJCAI 2023) (2023)
Conference Proceeding
IBRAHIM, Z., WU, H. and WIRATUNGA, N. (eds.) 2023. Proceedings of the 6th International workshop on knowledge discovery from healthcare data (KDH@IJCAI 2023), co-located with the 32nd International joint conference on artificial intelligence (IJCAI 2023), 20 August 2023, Macao, China. CEUR workshop proceedings, 3479. Aachen: CEUR-WS [online]. Available from: https://ceur-ws.org/Vol-3479/

This workshop is centred around novel AI methodologies that aim to solve some of the grand challenges associated with medical data. Held in conjunction with the International Joint Conference on Artificial Intelligence (IJCAI 2023), this year's works... Read More about Proceedings of the 6th International workshop on knowledge discovery from healthcare data (KDH@IJCAI 2023).

Solutions for innovation transfer between countries with different legislative, regulatory and funding regimes: case studies from rural passenger transport projects. (2023)
Conference Proceeding
GRAY, D., MESJAR, L. and IRONSIDE, L. 2023. Solutions for innovation transfer between countries with different legislative, regulatory and funding regimes: case studies from rural passenger transport projects. In ETC conference papers 2023: proceedings of the 51st European transport conference (ETC 2023), 6-8 September 2023, Milan, Italy. Henley-in-Arden: AET [online], abstract number 8143. Available from: https://tinyurl.com/3b6tku6v

European programmes such as Interreg are predicated on the principles of demonstration and adoption of innovation, transfer of best practice between jurisdictions, and transnational cooperation to address shared challenges. However, governance, fundi... Read More about Solutions for innovation transfer between countries with different legislative, regulatory and funding regimes: case studies from rural passenger transport projects..

Detecting and tracking the position of suspicious objects using vision system. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y. and BHOWMICK, P. 2023. Detecting and tracking the position of suspicious objects using vision system. In Bouma, H., Dijk, J., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Artificial intelligence for security and defence applications: 2023 proceedings of the SPIE (International Society of Optics and photonics) Security and defence conference, 4-5 September 2023, Amsterdam, Netherlands. Proceedings of the SPIE, 12742. Bellingham, WA: SPIE [online], article ID 127420C. Available from: https://doi.org/10.1117/12.2679801

Vision-based object tracking is crucial for both civil and military applications. A range of hazards to cyber safety, vital infrastructure, and public privacy are posed by the rise of drones, or unmanned aerial vehicles (UAV). As a result, identifyin... Read More about Detecting and tracking the position of suspicious objects using vision system..

Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Tracking and estimation of surgical instrument position and angle in surgical robot using vision system. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275983. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275983

A da Vinci robot endoscopic-camera gives surgeons a magnified 2D view of the operating area, but additional time is required to detect and estimate the location of the surgical-instrument during an operation. The main focus and novelty of this resear... Read More about Tracking and estimation of surgical instrument position and angle in surgical robot using vision system..

Transformation products of microcystin-RR with reactive species produced by radiolysis of water. (2023)
Conference Proceeding
ILIAKOPOULOUS, S., TRIANTIS, T., ANTONOPOULOU, M., EDWARDS, C., LINDA, L., KISKIA, A. and KALOUDIS, T. 2023. Transformation products of microcystin-RR with reactive species produced by radiolysis of water. In Proceedings of the 18th International conference on environmental science and technology 2023 (CEST2023), 30 August - 2 September 2023, Athens, Greece. Athens: COSMOS SA [online], paper ID cest2023_00012. Available from: https://doi.org/10.30955/gnc2023.00012

Microcystins (MCs) are potent cyclic-peptide toxins produced by cyanobacteria during freshwater bloom episodes. They can severely impact drinking water supplies and recreational waters. More than 300 MCs are known today, which are toxic, mainly by in... Read More about Transformation products of microcystin-RR with reactive species produced by radiolysis of water..

HEALER2: a framework for secure data lake towards healthcare digital transformation efforts in low and middle-income countries. (2023)
Conference Proceeding
YENG, P.K., DIEKUU, J.-B., ABOMHARA, M., ELHADJ, B., YAKUBU, M.A., OPPONG, I.N., FAUZI, M.A., YANG, B. and EL-GASSAR, R. 2023. HEALER2: a framework for secure data lake towards healthcare digital transformation efforts in low and middle-income countries. In Singh Jat, D., Bhunu Shava, F., Tripathi, M., Gajrani, J., Nehra, A. and Jain, A. (eds.) Proceedings of the 2023 International conference on Emerging trends in networks and computer communications (ETNCC 2023), 16-18 August 2023, Windhoek, Namibia ; [virtual event]. Piscataway: IEEE [online], pages 31-39. Available from: https://doi.org/10.1109/ETNCC59188.2023.10284959

Low and middle-income countries are vigorously digitizing their operations in the healthcare sector as steps in the digital transformation journey. However, some of the basic principles in information security are being skipped. This has a tendency t... Read More about HEALER2: a framework for secure data lake towards healthcare digital transformation efforts in low and middle-income countries..

Modeling and simulation of heterojunction solar cell; determination of optimal values. (2023)
Conference Proceeding
LAWAL, S.M., FOUGH, N., SELLAMI, N. and MUHAMMAD-SUKKI, F. 2023. Modeling and simulation of heterojunction solar cell: determination of optimal values. In Proceedings of the 21st IEEE (Institute of Electrical and Electronics Engineers) Interregional NEWCAS conference 2023 (NEWCAS 2023), 26-28 June 2023, Edinburgh, UK. Piscataway: IEEE [online], article 10198061. Available from: https://doi.org/10.1109/NEWCAS57931.2023.10198061

A heterojunction solar cell of ZnSe/ZnO/CIGS/Si structure has been simulated in order to determine the optimal values. The performed modeling and Simulation is used to get an idea and identify the optimal values that can be use in the manufacturing p... Read More about Modeling and simulation of heterojunction solar cell; determination of optimal values..

Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. (2023)
Conference Proceeding
STEWART, C., FUNG, WAI KEUNG, FOUGH, N. and PRABHU, R. 2023. Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data. In Proceedings of the 21st IEEE (Institute of Electrical and Electronics Engineers) Interregional NEWCAS conference 2023 (NEWCAS 2023), 26-28 June 2023, Edinburgh, UK. Piscataway: IEEE [online], article 10198101. Available from: https://doi.org/10.1109/NEWCAS57931.2023.10198101

Machine learning proliferates society and has begun changing medicine. This report covers an investigation into how Extremely Random Forests combined with Fast Fourier Transform feature extraction performed on two-dimensional time-series Epileptic Se... Read More about Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data..

Modelling and analysis of vortex-induced vibrations for flexible cylinders conveying two-phase slug flows. (2023)
Conference Proceeding
MEENAKUMARI, H.N.R., ZANGANEH, H. and HOSSAIN, M. 2023. Modelling and analysis of vortex-induced vibrations for flexible cylinders conveying two-phase slug flows. In Qiu, H., Zhang, Y. and Iasiello, M. (eds.) Proceedings of the 9th World congress on Mechanical, chemical and material engineering. Orléans, ON, Canada: Avestia [online], paper no. ICMIE 138. Available from: https://doi.org/10.11159/icmie23.138

Hydrocarbon flows in a marine riser may appear in multiple phases with varying flow patterns, among which, slug flows are known to exhibit complex flow characteristics due to fluctuations in multiphase mass, velocities, and pressure changes. This flo... Read More about Modelling and analysis of vortex-induced vibrations for flexible cylinders conveying two-phase slug flows..

Unmasking the imposters: task-specific feature learning for face presentation attack detection. (2023)
Conference Proceeding
ABDULLAKUTTY, F., ELYAN, E. and JOHNSTON, P. 2023. Unmasking the imposters: task-specific feature learning for face presentation attack detection. In Proceedings of the 2023 International joint conference on neural networks (IJCNN2023), 18-23 June 2023, Gold Coast, Australia. Piscataway: IEEE [online], 10191953. Available from: https://doi.org/10.1109/IJCNN54540.2023.10191953

Presentation attacks pose a threat to the reliability of face recognition systems. A photograph, a video, or a mask representing an authorised user can be used to circumvent the face recognition system. Recent research has demonstrated high accuracy... Read More about Unmasking the imposters: task-specific feature learning for face presentation attack detection..

CBR driven interactive explainable AI. (2023)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., MARTIN, K., CORSAR, D., NKISI-ORJI, I., PALIHAWADANA, C., BRIDGE, D., PRADEEP, P., AGUDO, B.D. and CARO-MARTÍNEZ, M. 2023. CBR driven interactive explainable AI. In MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023, (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages169-184. Available from: https://doi.org/10.1007/978-3-031-40177-0_11

Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Numerous explanation techniques (explainers) exist in the literature, and recent findings suggest that addressing multiple user needs requi... Read More about CBR driven interactive explainable AI..

Failure-driven transformational case reuse of explanation strategies in CloodCBR. (2023)
Conference Proceeding
NKISI-ORJI, I., PALIHAWADANA, C., WIRATUNGA, N., WIJEKOON, A. and CORSAR, D. 2023. Failure-driven transformational case reuse of explanation strategies in CloodCBR. In Massie, S. and Chakraborti, S. (eds.) Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023 (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages 279-293. Available from: https://doi.org/10.1007/978-3-031-40177-0_18

In this paper, we propose a novel approach to improve problem-solving efficiency through the reuse of case solutions. Specifically, we introduce the concept of failure-driven transformational case reuse of explanation strategies, which involves trans... Read More about Failure-driven transformational case reuse of explanation strategies in CloodCBR..

Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023). (2023)
Conference Proceeding
MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science, 14141. Cham: Springer [online]. Available from: https://doi.org/10.1007/978-3-031-40177-0

This volume contains the papers presented at the 31st International Conference on Case-Based Reasoning (ICCBR 2023), which was held on July 17–20, 2023, at Robert Gordon University in Aberdeen, Scotland, UK. ICCBR is the premier annual meeting of the... Read More about Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023)..

Explaining a staff rostering genetic algorithm using sensitivity analysis and trajectory analysis. (2023)
Conference Proceeding
FYVIE, M., MCCALL, J.A.W., CHRISTIE, L.A. and BROWNLEE, A.E.I. 2023. Explaining a staff rostering genetic algorithm using sensitivity analysis and trajectory analysis. In GECCO’23 companion: proceedings of the 2023 Genetic and evolutionary computation conference companion, 15-19 July 2023, Lisbon, Portugal. New York: ACM [online], pages 1648-1656. Available from: https://doi.org/10.1145/3583133.3596353

In the field of Explainable AI, population-based search metaheuristics are of growing interest as they become more widely used in critical applications. The ability to relate key information regarding algorithm behaviour and drivers of solution quali... Read More about Explaining a staff rostering genetic algorithm using sensitivity analysis and trajectory analysis..