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Macro-BIM adoption study: establishing Nigeria's BIM maturity. (2019)
Conference Proceeding
HAMMA-ADAMA, M. and KOUIDER, T. 2019. Macro-BIM adoption study: establishing Nigeria’s BIM maturity. In Aigbavboa, C. and Thwala, W. (eds.) The construction industry in the fourth industrial revolution: proceedings of the 11th Construction Industry Development Board (CIDB) postgraduate research conference (CIDB 2019): positioning the construction industry in the fourth industrial revolution, 28-30 July 2019, Johannesburg, South Africa. Cham: Springer [online], pages 401-411. Available from: https://doi.org/10.1007/978-3-030-26528-1_40

Construction Industry in Nigeria has since required a disruptive technology to change its construction business and improve its capabilities and productivity. As an on-going research (PhD work) to developing a strategy for an effective Building Infor... Read More

Human activity recognition with deep metric learners. (2019)
Conference Proceeding
MARTIN, K., WIJEKOON, A. and WIRATUNGA, N. [2019]. Human activity recognition with deep metric learners. In Workshop proceedings of the 27th International conference on case-based reasoning (ICCBR 2019), 8-12 September 2019, Otzenhausen, Germany. CEUR workshop proceedings: CEUR-WS [online], (accepted).

Establishing a strong foundation for similarity-based return is a top priority in Case-Based Reasoning (CBR) systems. Deep Metric Learners (DMLs) are a group of neural network architectures which learn to optimise case representations for similarity-... Read More

Introducing the dynamic customer location-allocation problem. (2019)
Conference Proceeding
ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. 2019. Introducing the dynamic customer location-allocation problem. In Proceedings of the 2019 Institute of Electrical and Electronics Engineers (IEEE) Congress on evolutionary computation (IEEE CEC 2019), 10-13 June 2019, Wellington, NZ. Piscataway: IEEE [online], pages 3157-3164. Available from: https://doi.org/10.1109/CEC.2019.8790150.

In this paper, we introduce a new stochastic Location-Allocation Problem which assumes the movement of customers over time. We call this new problem Dynamic Customer Location-Allocation Problem (DC-LAP). The problem is based on the idea that customer... Read More

Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver. (2019)
Conference Proceeding
ZAVOIANU, A.-C., SAMINGER-PLATZ, S. and AMRHEIN, W. 2019. Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver. In Proceedings of the 2019 Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2019), 10-13 June 2019, Wellington, New Zealand. Piscataway: IEEE [online], (accepted).

We describe and compare two steady state asynchronous parallelization variants for DECMO2++, a recently proposed multi-objective coevolutionary solver that generally displays a robust run-time convergence behavior. The two asynchronous variants were... Read More

What are the barriers and drivers toward BIM adoption in Nigeria? (2019)
Conference Proceeding
HAMMA-ADAMA, M. and KOUIDER, T. 2019. What are the barriers and drivers towards BIM adoption in Nigeria? In Skibniewski, M.J. and Hajdu, M. (eds.) Proceedings of the 2019 Creative construction conference (CCC 2019), 29 June – 2 July 2019, Budapest, Hungary. Budapest: Diamond Congress Ltd [online], pages 529-539. Available from:https://2019.creative-c...nference.com/downloads/

The ‘digitalization and collaboration’ or Building Information Modelling (BIM) in the construction industry has been gaining momentum in the recent academic engagements. Despite its existence in many industries (i.e. publishing, retailing, financial... Read More

Simultaneous meta-data and meta-classifier selection in multiple classifier system. (2019)
Conference Proceeding
NGUYEN, T.T., LUONG, A.V., NGUYEN, T.M.V., HA, T.S., LIEW, A.W.-C. and MCCALL, J. 2019. Simultaneous meta-data and meta-classifier selection in multiple classifier system. In López-Ibáñez, M. (ed.) Proceedings of the 2019 Genetic and evolutionary computation conference (GECCO ’19), 13-17 July 2019, Prague, Czech Republic. New York: ACM [online], pages 39-46. Available from: https://doi.org/10.1145/3321707.3321770

In ensemble systems, the predictions of base classifiers are aggregated by a combining algorithm (meta-classifier) to achieve better classification accuracy than using a single classifier. Experiments show that the performance of ensembles significan... Read More

Learning to self-manage by intelligent monitoring, prediction and intervention. (2019)
Conference Proceeding
WIRATUNGA, N., CORSAR, D., MARTIN, K., WIJEKOON, A., ELYAN, E., COOPER, K., IBRAHIM, Z., CELIKTUTAN, O., DOBSON, R.J., ABD-ALHAMMED, R., QAHWAJI, R. and CHAUDHURI, R. 2019. Learning to self-manage by intelligent monitoring, prediction and intervention. Presented at the 4th International workshop on knowledge discovery in healthcare data (KDH 2019), co-located with the 28th International joint conference on artificial intelligence (IJCAI-19), 10-11 August 2019, Macao, China. CEUR workshop proceedings. Aachen: CEUR-WS [online], (accepted).

Despite the growing prevalence of multimorbidities, current digital self-management approaches still prioritise single conditions. The future of out-of-hospital care requires researchers to expand their horizons; integrated assistive technologies sho... Read More

Blockchain grammars: designing with DAOS. (2019)
Conference Proceeding
DOUNAS, T. and LOMBARDI, D. 2019. Blockchain grammars: designing with DAOS. In Haeusler, M.H., Schnabel, M.A. and Fukuda, T. (eds.) Intelligent and informed: proceedings of the 24th International conference on computer-aided architectural design research in Asia (CAADRIA 2019), 15-18 April 2019, Wellington: New Zealand. Hong Kong: CumInCAD [online], Volume 2, pages 293-302. Available from: http://papers.cumincad....att/caadria2019_647.pdf

This paper presents an application of Decentralised Autonomous Organisation (DAO) in the field of design and AEC industry. The model is applied in the realm of shape grammar proposing the possibility of allowing multiple grammarists to collaborate in... Read More

Minimality and simplicity of rules for the internet-of-things. (2019)
Conference Proceeding
PANARETOS, A., CORSAR, D. and VASCONCELOS, W.W. 2019. Minimality and simplicity of rules for the internet-of things. In Lujak, M. (ed.) Agreement technologies: revised selected papers from the 6th International conference on agreement technologies (AT 2018), 6-7 December 2018, Bergen, Norway. Lecture notes in computer science, 11327. Cham: Springer [online], pages 64-72. Available from: https://doi.org/10.1007/978-3-030-17294-7_5

Rule-based systems have been increasing in popularity in recent years. They allow for easier handling of both simple and complicated problems utilising a set of rules created in various ways (e.g., manually, or (semi-) automatically, via, say, machin... Read More

Does my country's social media work for you? A virtual team project with an international twist. (2019)
Conference Proceeding
LUCK, S., SWARTZ, S., BARBOSA, B. and CRAWFORD, I. 2019. Does my country's social media work for you? A virtual team project with an international twist. In Smith, J.A., Good, D., Kurthakoti, R., Swank, A. and Ichikawa, M. (eds.) Proceedings of the 46th Annual conference of the Association for Business Simulation and Experiential Learning (ABSEL 2019), 20-22 March 2019, Old Town San Diego, California, USA. Developments in business simulation and experiential learning: proceedings of the annual ABSEL conference, 46. USA: ABSEL [online], article number 3211. Available from: https://journals.tdl.or...absel/article/view/3211

The world's businesses are just that: world businesses. And to compete and be successful in these world businesses, no matter at what level of employment, employees need intercultural communication competency skills. The days of being fairly confiden... Read More

Challenges facing the Siem Reap tuk-tuk workforce in a changing tourism environment. (2019)
Conference Proceeding
LEITH, C. 2019. Challenges facing the Siem Reap tuk-tuk workforce in a changing tourism environment. In Sousa, C., Vaz de Freitas, I. and Marques, J. (eds.) Proceedings of the 2nd International conference on tourism research (ICTR 2019), 14-15 March 2019, Porto, Portugal. Reading: Academic Conferences and Publishing International Limited [online}, pages 166-172. Available from: http://academic-booksho...n-Tourism-Research.html

Tourists have long used tuk-tuks as a convenient, cheap and enjoyable way to travel around when visiting many Asian cities. Significant changes in the tourism environment have led to challenges for the tuk-tuk workforce in some of their traditional c... Read More

Multiple fake classes GAN for data augmentation in face image dataset. (2019)
Conference Proceeding
ALI-GOMBE, A., ELYAN, E. and JAYNE, C. 2019. Presented at the 2019 International joint conference on neural networks (IJCNN 2019), 14-19 July 2019, Budapest, Hungary.

Class-imbalanced datasets often contain one or more class that are under-represented in a dataset. In such a situation, learning algorithms are often biased toward the majority class instances. Therefore, some modification to the learning algorithm o... Read More

Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. (2019)
Conference Proceeding
SABRA, A., FUNG, W.-K. and CHURN, P. 2018. Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. In Correll, N., Schwager, M. and Otte, M. (eds.) Distributed autonomous robotic systems: proceedings of the 14th International distributed autonomous robotic systems symposium 2018 (DARS 2018), 15-17 October 2018, Boulder, USA. Springer proceedings in advanced robotics, 9. Cham: Springer [online], pages 109-123. Available from: https://doi.org/10.1007/978-3-030-05816-6_8

Localization in large-scale underwater swarm robotic systems has in-creasingly attracted research and industry communities’ attention. An optimized confidence-based localization algorithm is proposed for improving localization coverage and accuracy b... Read More

Ontology alignment based on word embedding and random forest classification. (2019)
Conference Proceeding
NKISI-ORJI, I., WIRATUNGA, N., MASSIE, S., HUI, K.-Y. and HEAVEN, R. 2019. Ontology alignment based on word embedding and random forest classification. In Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. and Ifrim, G. (eds.) Machine learning and knowledge discovery in databases: proceedings of the 2018 European conference on machine learning and principles and practice of knowledge discovery in databases (ECML PKDD 2018), 10-14 September 2018, Dublin, Ireland. Lecture notes in computer science, 11051. Cham: Springer [online], part I, pages 557-572. Available from: https://doi.org/10.1007/978-3-030-10925-7_34

Ontology alignment is crucial for integrating heterogeneous data sources and forms an important component for realising the goals of the semantic web. Accordingly, several ontology alignment techniques have been proposed and used for discovering corr... Read More

Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static conditions. (2018)
Conference Proceeding
WUYEP, E., OLUYEMI, G., YATES, K. and AKISANYA, A. 2019. Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static conditions. In Kallel A., Erguler, Z.A., Cui, Z.-D., Karrech, A., Karakus, M., Kulatilake, P. and Shukla, S.K. (eds.) Recent advances in geo-environmental engineering, geomechanics and geotechnics, and geohazards: proceedings of the 1st Springer conference of the Arabian Journal of Geosciences (CAJG-1), 12-15 November 2018, Hammamet, Tunisia. Advances in science, technology and innovation: IEREK interdisciplinary series for sustainable development. Cham: Springer [online], pages 183-185. Available from: https://doi.org/10.1007/978-3-030-01665-4_43

The effects of chemical interaction of a biocide with formation rocks on the rock geomechanical strength were examined. A combination of analytical tests (Scanning Electron Microscopy/Energy-Dispersive X-Ray Analysis-SEM/EDX, X-Ray Powder Diffraction... Read More

Developing accessible services: understanding current knowledge and areas for future support. (2018)
Conference Proceeding
CRABB, M., HERON, M., JONES, R., ARMSTRONG, M., REID, H. and WILSON, A. 2019. Developing accessible services: understanding current knowledge and areas for future support. In Proceedings of the conference on human factors in computing systems 2019 (CHI 2019): weaving the threads of CHI, 4-9 May 2019, Glasgow, UK. New York: ACM [online] (accepted). Available from: https://doi.org/10.1145/3290605.3300446

When creating digital artefacts, it is important to ensure that the product being made is accessible to as much of the population as is possible. Many guidelines and supporting tools exist to assist reaching this goal. However, little is known about... Read More

Generalized small-signal modelling of dual active bridge DC/DC converter. (2018)
Conference Proceeding
HEBALA, O.M., ABOUSHADY, A.A., AHMED, K.H., BURGESS, S. and PRABHU, R. 2018. Generalized small-signal modelling of dual active bridge DC/DC converter. In Proceedings of the 7th International conference on renewable energy research and applications 2018 (ICRERA), 14-17 October 2018, Paris, France. Piscataway: IEEE [online], article ID 8567014, pages 914-919. Available from: https://doi.org/10.1109/ICRERA.2018.8567014

This paper presents a novel generalised approach of the small-signal modelling of dual active bridge (DAB) DC/DC converter. The adopted analysis is based on a per-unit fundamental frequency representation of the DAB. The outcome of the proposed model... Read More

Informed pair selection for self-paced metric learning in Siamese neural networks. (2018)
Conference Proceeding
MARTIN, K., WIRATUNGA, N., MASSIE, S. and CLOS, J. 2018. Informed pair selection for self-paced metric learning in Siamese neural networks. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXV: proceedings of the 38th Annual international conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI) (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in computer science, 11311. Cham: Springer [online], pages 34-49. Available from: https://doi.org/10.1007/978-3-030-04191-5_3

Siamese Neural Networks (SNNs) are deep metric learners that use paired instance comparisons to learn similarity. The neural feature maps learnt in this way provide useful representations for classification tasks. Learning in SNNs is not reliant on e... Read More

Risk information recommendation for engineering workers. (2018)
Conference Proceeding
MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. 2018. Risk information recommendation for engineering workers. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXV: proceedings of the 38th Annual international conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI) (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in computer science, 11311. Cham: Springer [online], pages 311-325. Available from: https://doi.org/10.1007/978-3-030-04191-5_27

Within any sufficiently expertise-reliant and work-driven domain there is a requirement to understand the similarities between specific work tasks. Though mechanisms to develop similarity models for these areas do exist, in practice they have been cr... Read More

GramError: a quality metric for machine generated songs. (2018)
Conference Proceeding
DAVIES, C., WIRATUNGA, N. and MARTIN, K. 2018. GramError: a quality metric for machine generated songs. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXV: proceedings of the 38th Annual international conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI) (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in computer science, 11311. Cham: Springer [online], pages 184-190. Available from: https://doi.org/10.1007/978-3-030-04191-5_16

This paper explores whether a simple grammar-based metric can accurately predict human opinion of machine-generated song lyrics quality. The proposed metric considers the percentage of words written in natural English and the number of grammatical er... Read More