Recent Submissions

  • Multi-label classification via incremental clustering on an evolving data stream. 

    Nguyen, Tien Thanh; Dang, Manh Truong; Luong, Anh Vu; Liew, Alan Wee-Chung; Liang, Tiancai; McCall, John (Elsevier https://doi.org/10.1016/j.patcog.2019.06.001, 2019-06-03)
    NGUYEN, T.T., DANG, M.T., LUONG, A.V., LIEW, A. W.-C., LIANG, T. and MCCALL, J. 2019. Multi-label classification via incremental clustering on an evolving data stream. Pattern recognition [online], 95, pages 96-113. Available from: https://doi.org/10.1016/j.patcog.2019.06.001
    With the advancement of storage and processing technology, an enormous amount of data is collected on a daily basis in many applications. Nowadays, advanced data analytics have been used to mine the collected data for ...
  • Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks. 

    McDermott, Christopher D.; Isaacs, John; Petrovski, Andrei (MDPI https://doi.org/10.3390/informatics6010008, 2019-02-18)
    MCDERMOTT, C.D., ISAACS, J.P. and PETROVSKI, A.V. 2019. Evaluating awareness and perception of botnet activity within consumer Internet-of-Things (IoT) networks. Informatics [online], 6(1), article 8. Available from: https://doi.org/10.3390/informatics6010008
    The growth of the Internet of Things (IoT), and demand for low-cost, easy-to-deploy devices, has led to the production of swathes of insecure Internet-connected devices. Many can be exploited and leveraged to perform ...
  • Inclusive design for immersive spaces. 

    Crabb, Michael; Clarke, Daniel; Alwaer, Husam; Heron, Michael James; Laing, Richard Alexander (Taylor and Francis https://doi.org/10.1080/14606925.2019.1594934, 2019-05-31)
    CRABB, M., CLARKE, D., ALWAER, H., HERON, M. and LAING, R. 2019. Inclusive design for immersive spaces. Design journal [online], 22(Sup 1): proceedings of the 13th International conference of the European Academy of Design (EAD 2019): running with scissors, 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 ...
  • Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models. 

    Lughofer, Edwin; Zavoianu, Alexandru-Ciprian; Pollak, Robert; Pratama, Mahardhika; Meyer-Heye, Pauline; Zörrer, Helmut; Eitzinger, Christian; Radauer, Thomas (Elsevier https://doi.org/10.1016/j.jprocont.2019.02.005, 2019-02-22)
    LUGHOFER, E., ZAVOIANU, A.-C., POLLAK, R., PRATAMA, M., MEYER-HEYE, P., ZÖRRER, H., EITZINGER, C. and RADAUER, T. 2019. Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models. Journal of process control [online], 76, pages 27-45. Available from: https://doi.org/10.1016/j.jprocont.2019.02.005
    In modern manufacturing facilities, there are basically two essential phases for assuring high production quality with low (or even zero) defects and waste in order to save costs for companies. The first phase concerns the ...
  • Effect of aluminum oxide nanoparticles on the rheology and stability of a biopolymer for enhanced oil recovery. 

    Orodu, Kale B.; Afolabi, Richard O.; Oluwasijuwomi, Toyosi D.; Orodu, Oyinkepreye D. (Elsevier https://doi.org/10.1016/j.molliq.2019.04.141, 2019-04-26)
    ORODU, K.B., AFOLABI, R.O., OLUWASIJUWOMI, T.D. and ORODU, O.D. 2019. Effect of aluminum oxide nanoparticles on the rheology and stability of a biopolymer for enhanced oil recovery. Journal of molecular liquids [online], 288, article ID 110864. Available from: https://doi.org/10.1016/j.molliq.2019.04.141
    Uncommon and untested biopolymers in field pilot studies, but applied in laboratory studies are combined with Al2O3 nanoparticles to form nanocomposites for enhanced oil recovery (EOR) performance evaluation. Core plug ...
  • Understanding factors influencing public transport passengers’ pre-travel information-seeking behaviour. 

    Yeboah, Godwin; Cottrill, Caitlin D.; Nelson, John D.; Corsar, David; Markovic, Milan; Edwards, Peter (Springer https://doi.org/10.1007/s12469-019-00198-w, 2019-04-12)
    YEBOAH, G., COTTRILL, C.D., NELSON, J.D., CORSAR, D., MARKOVIC, M. and EDWARDS, P. 2019. Understanding factors influencing public transport passengers’ pre-travel information-seeking behaviour. Public transport [online], 11(1), pages 135-158. Available from: https://doi.org/10.1007/s12469-019-00198-w
    This paper investigates factors influencing public transport passengers’ pre-travel information-seeking behaviours in a British urban environment. Public transport traveller surveys were conducted to better understand the ...
  • Generalised median of graph correspondences. 

    Moreno-García, Carlos Francisco; Serratosa, Francesc (Elsevier https://doi.org/10.1016/j.patrec.2019.05.015, 2019-05-21)
    MORENO-GARCÍA, C.F. and SERRATOSA, F. 2019. Generalised median of graph correspondences. Pattern recognition letters [online], 125, pages 389-395. Available from: https://doi.org/10.1016/j.patrec.2019.05.015
    A graph correspondence is defined as a function that maps the elements of two attributed graphs. Due to the increasing availability of methods to perform graph matching, numerous graph correspondences can be deducted for ...
  • Fuzzy logic applied to value of information assessment in oil and gas projects. 

    Vilela, Martin; Oluyemi, Gbenga Folorunso; Petrovski, Andrei
    VILELA, M., OLUYEMI, G. and PETROVSKI, A. [2019]. Fuzzy logic applied to value of information assessment in oil and gas projects. Petroleum science [online], (accepted).
    The concept of value of information (VOI) has been widely used in the oil industry when making decisions on the acquisition of new data sets for the development and operation of oil fields. The classical approach to VOI ...
  • Flood risk management in sponge cities: the role of integrated simulation and 3D visualization. 

    Wang, Chen; Hou, Jingming; Miller, David; Brown, Iain; Jiang, Yang (Elsevier https://doi.org/10.1016/j.ijdrr.2019.101139, 2019-04-03)
    WANG, C., HOU, J., MILLER, D., BROWN, I. and JIANG, Y. 2019. Flood risk management in sponge cities: the role of integrated simulation and 3D visualization. International journal of disaster risk reduction [online], In Press. Available from: https://doi.org/10.1016/j.ijdrr.2019.101139
    The Sponge City concept has been promoted as a major programme of work to address increasing flood risk in urban areas, in combination with wider benefits for water resources and urban renewal. However, realization of the ...
  • Video tampering localisation using features learned from authentic content. 

    Johnston, Pamela; Elyan, Eyad; Jayne, Chrisina (Springer https://doi.org/10.1007/s00521-019-04272-z, 2019-05-30)
    JOHNSTON, P., ELYAN, E. and JAYNE, C. 2019. Video tampering localisation using features learned from authentic content. Neural computing and applications [online], Latest Articles. Available from: https://doi.org/10.1007/s00521-019-04272-z
    Video tampering detection remains an open problem in the field of digital media forensics. As video manipulation techniques advance, it becomes easier for tamperers to create convincing forgeries that can fool human eyes. ...
  • A fuzzy inference system applied to value of information assessment for oil and gas industry. 

    Vilela, Martin; Oluyemi, Gbenga Folorunso; Petrovski, Andrei (Regional Association for Security and Crisis Management https://doi.org/10.31181/dmame1902001v, 2019-05-23)
    VILELA, M., OLUYEMI, G. and PETROVSKI, A. 2019. A fuzzy inference system applied to value of information assessment for oil and gas industry. Decision making: applications in management and engineering [online], Online First. Available from: https:// doi.org/10.31181/dmame1902001v
    Value of information is a widely accepted methodology for evaluating the need to acquire new data in the oil and gas industry. In the conventional approach to estimating the value of information, the outcomes of a project ...
  • A lossless online Bayesian classifier. 

    Nguyen, Thi Thu Thuy; Nguyen, Tien Thanh; Sharma, Rabi; Liew, Alan Wee-Chung (Elsevier https://doi.org/10.1016/j.ins.2019.03.031, 2019-03-16)
    NGUYEN, T.T.T., NGUYEN, T.T., SHARMA, R. and LIEW, A. W.-C. 2019. A lossless online Bayesian classifier. Information sciences [online], 489, pages 1-17. Available from: https://doi.org/10.1016/j.ins.2019.03.031
    We are living in a world progressively driven by data. Besides the issue that big data cannot be entirely stored in the main memory as required by traditional offline learning methods, the problem of learning data that can ...
  • A weighted multiple classifier framework based on random projection. 

    Nguyen, Tien Thanh; Dang, Manh Truong; Liew, Alan Wee-Chung; Bezdek, James C. (Elsevier https://doi.org/10.1016/j.ins.2019.03.067, 2019-03-26)
    NGUYEN, T.T., DANG, M.T., LIEW, A. W.-C. and BEZDEK, J.C. 2019. A weighted multiple classifier framework based on random projection. Information science [online], 490, pages 36-58. Available from: https://doi.org/10.1016/j.ins.2019.03.067
    In this paper, we propose a weighted multiple classifier framework based on random projections. Similar to the mechanism of other homogeneous ensemble methods, the base classifiers in our approach are obtained by a learning ...
  • A review of digital video tampering: from simple editing to full synthesis. 

    Johnston, Pamela; Elyan, Eyad (Elsevier https://doi.org/10.1016/j.diin.2019.03.006, 2019-03-22)
    JOHNSTON, P. and ELYAN, E. 2019. A review of digital video tampering: from simple editing to full synthesis. Digital investigation [online], 29, pages 67-81. Available from: https://doi.org/10.1016/j.diin.2019.03.006
    Video tampering methods have witnessed considerable progress in recent years. This is partly due to the rapid development of advanced deep learning methods, and also due to the large volume of video footage that is now in ...
  • A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. 

    Ochei, Laud Charles; Ejiofor, Christopher Ifeanyichukwu (ASTES Journal https://doi.org/10.25046/aj030220, 2018-03-27)
    OCHEI, L.C. and EJIOFOR, C.I. 2018. A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. Advances in science, technology and engineering systems journal [online], 3(2), pages 174-183. Available from: https://doi.org/10.25046/aj030220
    Tenants associated with a cloud-hosted application seek to reduce running costs and minimize resource consumption by sharing components and resources. However, despite the benefits, sharing resources can affect tenant’s ...
  • Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services. 

    Ochei, Laud Charles; Ejiofor, Christopher Ifeanyichukwu (ASTES Journal https://doi.org/10.25046/aj030312, 2018-05-31)
    OCHEI, L.C. and EJIOFOR, C.I. 2018. Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services. Advances in science, technology and engineering systems journal [online], 3(3), pages 92-99. Available from: https://doi.org/10.25046/aj030312
    Multitenancy isolation is a way of ensuring that the performance, stored data volume and access privileges required by one tenant and/or component does not affect other tenants and/or components. One of the conditions that ...
  • Multi-label classification via label correlation and first order feature dependence features in a data stream. 

    Nguyen, Tien Thanh; Nguyen, Thi Thu Thuy; Luong, Anh Vu; Nguyen, Quoc Viet Hung; Liew, Alan Wee-Chung; Stantic, Bela (Elsevier https://doi.org/10.1016/j.patcog.2019.01.007, 2019-01-06)
    NGUYEN, T.T., NGUYEN, T.T.T., LUONG, A.V., NGUYEN, Q.V.H., LIEW, A.W.-C. and STANTIC, B. 2019. Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern recognition [online], 90, pages 35-51. Available from: https://doi.org/10.1016/j.patcog.2019.01.007
    Many batch learning algorithms have been introduced for offline multi-label classification (MLC) over the years. However, the increasing data volume in many applications such as social networks, sensor networks, and traffic ...
  • Fall prediction using behavioural modelling from sensor data in smart homes. 

    Forbes, Glenn; Massie, Stewart; Craw, Susan
    FORBES, G., MASSIE, S. and CRAW, S. [2019]. Fall prediction using behavioural modelling from sensor data in smart homes. Artificial intelligence review [online], (accepted). Available from: https://doi.org/10.1007/s10462-019-09687-7
    The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other ...
  • Real-time relative permeability prediction using deep learning. 

    Arigbe, Ovoke D.; Oyeneyin, Babs; Arana, Ines; Droubi, Mohamad Ghazi (Springer https://doi.org/10.1007/s13202-018-0578-5, 2018-11-24)
    ARIGBE, O.D., OYENEYIN, M.B., ARANA, I. and GHAZI, M.D. 2018. Real-time relative permeability prediction using deep learning. Journal of petroleum exploration and production technologies [online], In Press. Available from: https://doi.org/10.1007/s13202-018-0578-5
    A review of the existing two and three phase relative permeability correlations shows a lot of pitfalls and restrictions imposed by (a) their assumptions (b) generalization ability and (c) difficulty with updating in real ...
  • Degrees of tenant isolation for cloud-hosted software services: a cross-case analysis. 

    Ochei, Laud Charles; Bass, Julian M.; Petrovski, Andrei (Springer https://doi.org/10.1186/s13677-018-0121-8, 2018-12-17)
    OCHEI, L.C., BASS, J.M. and PETROVSKI, A. 2018. Degrees of tenant isolation for cloud-hosted software services: a cross-case analysis. Journal of cloud computing [online], 7, article ID 22. Available from: https://doi.org/10.1186/s13677-018-0121-8
    A challenge, when implementing multi-tenancy in a cloud-hosted software service, is how to ensure that the performance and resource consumption of one tenant does not adversely affect other tenants. Software designers and ...

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