All Outputs (12)

Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in systematic literature review automation. (2023)
Journal Article
OFORI-BOATENG, R., ACEVES-MARTINS, M., JAYNE, C., WIRATUNGA, N. and MORENO-GARCIA, C.F. 2023. Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in systematic literature review automation. Porcedia computer science [online], 222: selected papers from the 2023 International Neural Network Society workshop on deep learning innovations and applications (INNS DLIA 2023), co-located with the 2023 International joint conference on neural networks (IJCNN), 18-32 June 2023, Gold Coast, Australia, pages 114-126. Available from: https://doi.org/10.1016/j.procs.2023.08.149

Systematic Review (SR) presents the highest form of evidence in research for decision and policy-making. Nonetheless, the structured steps involved in carrying out SRs make it demanding for reviewers. Many studies have projected the abstract screenin... Read More about Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in systematic literature review automation..

An IoT based industry 4.0 architecture for integration of design and manufacturing systems. (2020)
Journal Article
ANBALAGAN, A. and MORENO-GARCIA, C.F. 2021. An IoT based industry 4.0 architecture for integration of design and manufacturing systems. Materials today: proceedings [online], 46(17): proceedings of 3rd International conference on materials, manufacturing and modelling 2021 (ICMMM 2021), 19-21 March 2021, [virtual conference], pages 7135-7142. Available from: https://doi.org/10.1016/j.matpr.2020.11.196

This paper proposes an Internet of Things (IoT) based 5-stage Industry 4.0 architecture to integrate the design and manufacturing systems in a Cyber Physical Environment (CPE). It considers the transfer of design and manufacturing systems data throug... Read More about An IoT based industry 4.0 architecture for integration of design and manufacturing systems..

Deep heterogeneous ensemble. (2019)
Journal Article
NGUYEN, T.T., DANG, M.T., PHAM, T.D., DAO, L.P., LUONG, A.V., MCCALL, J. and LIEW, A.W.C. 2019. Deep heterogeneous ensemble. Australian journal of intelligent information processing systems [online], 16(1): special issue on neural information processing: proceedings of the 26th International conference on neural information processing (ICONIP 2019), 12-15 December 2019, Sydney, Australia, pages 1-9. Available from: http://ajiips.com.au/papers/V16.1/v16n1_5-13.pdf

In recent years, deep neural networks (DNNs) have emerged as a powerful technique in many areas of machine learning. Although DNNs have achieved great breakthrough in processing images, video, audio and text, it also has some limitations... Read More about Deep heterogeneous ensemble..

Inclusive design for immersive spaces. (2019)
Journal Article
CRABB, M., CLARKE, D., ALWAER, H., HERON, M. and LAING, R. 2019. Inclusive design for immersive spaces. Design journal [online], 22(Sup 1: running with scissors: proceedings from 13th European Academy of Design international conference (EAD 2019), 10-12 April 2019, Dundee, UK), pages 2105-2118. Available from: https://doi.org/10.1080/14606925.2019.1594934

It is vital when creating learning environments that attention is paid towards individuals using a given space, activities that they will carry out, and the available equipment that will facilitate this. It is also important that these spaces are cre... Read More about Inclusive design for immersive spaces..

New trends on digitisation of complex engineering drawings. (2018)
Journal Article
MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2019. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], 31(6): selected papers from the proceedings of the 18th Engineering applications of neural networks conference (EANN 2017), 25-27 August 2017, Athens, Greece, pages 1695-1712. Available from: https://doi.org/10.1007/s00521-018-3583-1

Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of drawings and documents that m... Read More about New trends on digitisation of complex engineering drawings..

A compressive survey on different image processing techniques to identify the brain tumor. (2018)
Journal Article
BHAGAVAN, K., IMAMBI, S.S. and BANO, S. 2018. A compressive survey on different image processing techniques to identify the brain tumor. International journal of engineering and technology (Science Publishing Corporation) [online], 7(2.7): proceedings of the 2018 International conference on Internet of Things (IoT) and cyber security (ICICS 2018), 22-23 March 2018, Vijayawada, India, pages 1081-1084. Available from: https://doi.org/10.14419/ijet.v7i2.7.12232

Medical imaging technology has revolutionized health care over the past three decades, allowing doctors to detect, cure and improve patient outcomes. Medicinal imaging involves pictures - of internal organs, parts, tissues and bones - for therapeutic... Read More about A compressive survey on different image processing techniques to identify the brain tumor..

Optimizing webpage relevancy using page ranking and content based ranking. (2018)
Journal Article
BABU, J.S., KUMAR, T.R. and BANO, S. 2018. Optimizing webpage relevancy using page ranking and content based ranking. International journal of engineering and technology (Science Publishing Corporation) [online], 7(2.7): proceedings of the 2018 International conference on Internet of Things (IoT) and cyber security (ICICS 2018), 22-23 March 2018, Vijayawada, India, pages 1025-1029. Available from: https://doi.org/10.14419/ijet.v7i2.7.12220

Systems for web information mining can be isolated into a few classifications, depending on the type of target data and the purposes of the activity: Web structure mining; Web utilization mining; and Web Content Mining. This paper proposes another We... Read More about Optimizing webpage relevancy using page ranking and content based ranking..

Development of a flood warning simulation system: a case study of 2007 Tewkesbury flood. (2016)
Journal Article
WANG, C., JIANG, Y., XIE, H., MILLER, D. and BROWN, I. 2016. Development of a flood warning simulation system: a case study of 2007 Tewkesbury flood. In Lang, M., Klijn, F. and Samuels, P. (eds.) E3S web of conferences [online], 7: proceedings of the 3rd European flood risk management conference (FLOODrisk 2016), 17-21 October 2016, Lyon, France, article ID 18021. Available from: https://doi.org/10.1051/e3sconf/20160718021.

Many flood warning systems were developed for 2D environments and limited on specific flood hazard. With the purpose of overcoming these disadvantages, it is necessary to propose new methodologies and techniques for 3D real time flood simulation. In... Read More about Development of a flood warning simulation system: a case study of 2007 Tewkesbury flood..

An analysis of age, technology usage, and cognitive characteristics within information retrieval tasks. (2015)
Journal Article
CRABB, M. and HANSON, V.L. 2016. An analysis of age, technology usage, and cognitive characteristics within information retrieval tasks. ACM transactions on accessible computing (TACCESS) [online], 8(3): papers from the proceedings of the 16th International Association of Computing Machinery Special Interest Group on Accessibility (ACM SIGACCESS) conference on computers and accessibility (ASSETS 2014), 20-22 October 2014, Rochester, USA, article number 10. Available from: https://doi.org/10.1145/2856046

This work presents two studies that aim to discover whether age can be used as a suitable metric for distinguishing performance between individuals or if other factors can provide greater insight. Information retrieval tasks are used to test the perf... Read More about An analysis of age, technology usage, and cognitive characteristics within information retrieval tasks..

Designing and aligning e-science security culture with design. (2010)
Journal Article
FAILY, S. and FLÉCHAIS, I. 2010. Designing and aligning e-science security culture with design. Information management and computer security [online], 18(5): selected papers from the South African information security multi-conference (SAISMC 2010), 17-18 May 2010, Port Elizabeth, South Africa, pages 339-349. Available from: https://doi.org/10.1108/09685221011095254

The purpose of this paper is to identify the key cultural concepts affecting security in multi-organisational systems, and to align these with design techniques and tools. A grounded theory model of security culture was derived from the related secur... Read More about Designing and aligning e-science security culture with design..

Knowledge discovery for adaptive negotiation agents in e-marketplaces. (2008)
Journal Article
LAU, R.Y.K., LI, Y., SONG, D. and KWOK, R.C.W. 2008. Knowledge discovery for adaptive negotiation agents in e-marketplaces. Decision support systems [online], 45(2): IT and value creation: revised selected papers from the proceedings of the 9th Pacific Asia conference on information systems (PACIS 2005), 7-10 July 2005, Bangkok, Thailand, pages 310-323. Available from: https://doi.org/10.1016/j.dss.2007.12.018

Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negotiation protocols and mechanisms for e-marketplaces, existing negotiation... Read More about Knowledge discovery for adaptive negotiation agents in e-marketplaces..

Facilitating DL-based hybrid reasoning with inference fusion. (2003)
Journal Article
HU, B., ARANA, I. and COMPATANGELO, E. 2003. Facilitating DL-based hybrid reasoning with inference fusion. Knowledge-based systems [online], 16(5-6): proceedings of the 22nd British Computer Society Specialist Group on Artificial Intelligence (SGAI) international conference on knowledge-based systems and applied artificial intelligence (ES2002), 10-12 December 2002, Cambridge, UK, pages 253-260. Available from: https://doi.org/10.1016/S0950-7051(03)00026-1

We present an extension to DL-based taxonomic reasoning by means of inference fusion, i.e. the dynamic combination of inferences from distributed heterogeneous reasoners. Our approach integrates results from a DL-based system with results from a cons... Read More about Facilitating DL-based hybrid reasoning with inference fusion..