Recent Submissions

  • 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 ...
  • Introducing the dynamic customer location-allocation problem. 

    Ankrah, Reginald; Lacroix, Benjamin; McCall, John; Hardwick, Andrew; Conway, Anthony
    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], (accepted).
    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 ...
  • 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 ...
  • Visualisation of turbulent structures in a centrifugal pump’s volute using large eddy simulation. 

    Asim, Taimoor; Mishra, Rakesh; Nsom, B. (2019-08-30)
    ASIM, T., MISHRA, R. and NSOM, B. [2019]. Visualisation of turbulent structures in a centrifugal pump’s volute using large eddy simulation. To be presented at the 24th Congrès Français de Mécanique (CFM 2019), 26-30 August 2019, Brest, France.
    Centrifugal pumps are an integral part of process and chemical industries around the globe. The flow within vaneless volutes of centrifugal pumps is highly turbulent and three-dimensional. Conventional flow modelling ...
  • Indicator modelling and interactive visualisation for urban sustainability assessment. 

    Falconer, Ruth E.; Isaacs, John; Gilmour, Daniel; Blackwood, David J. (IGI Global https://doi.org/10.4018/978-1-5225-5646-6.ch023, 2018-01-23)
    FALCONER, R.E., ISAACS, J.P., GILMOUR, D. and BLACKWOOD, D.J. Indicator modelling and interactive visualisation for urban sustainability assessment. In Information Resources Management Association (ed.) E-planning and collaboration: concepts, methodologies, tools and applications. Hershey: IGI Global [online], volume 1, pages 486-508. Available from: https://doi.org/10.4018/978-1-5225-5646-6.ch023
    This chapter presents a novel framework for the integration of the principles of sustainable development within the urban design processes. The framework recognises that decision making for sustainable urban planning is a ...
  • Abstract book for the proceedings of the 3rd International conference on structural nano composites (NANOSTRUC 2016), 12-15 September 2016, Aberdeen, UK. 

    Starost, Kristof; Njuguna, James (https://web.archive.org/web/20180123120946/http://www.nanostruc.info/nanostruc-conference.html, 2016-09-12)
    STAROST, K. and NJUGUNA, J. (eds.) 2016. Abstract book for the proceedings of the 3rd International conference on structural nano composites (NANOSTRUC 2016), 12-15 September 2016, Aberdeen, UK.
    The theme of the 3rd NANOSTRUC 2016 conference is on ‘Nanoscience and Nanotechnologies – Recent Advances towards Nanoproducts and Applications’. The conference is aimed to promote activities in various areas on materials ...
  • 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 holistic metric approach to solving the dynamic location-allocation problem. 

    Ankrah, Reginald; Lacroix, Benjamin; McCall, John; Hardwick, Andrew; Conway, Anthony (Springer https://doi.org/10.1007/978-3-030-04191-5_35, 2018-11-16)
    ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. 2018. A holistic metric approach to solving the dynamic location-allocation problem. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 433-439. Available from: https://doi.org/10.1007/978-3-030-04191-5_35
    In this paper, we introduce a dynamic variant of the Location-Allocation problem: Dynamic Location-Allocation Problem (DULAP). DULAP involves the location of facilities to service a set of customer demands over a defined ...
  • 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 ...
  • An edit distance between graph correspondences. 

    Moreno-García, Carlos Francisco; Serratosa, Francesc; Jiang, Xiaoyi (Springer https://doi.org/10.1007/978-3-319-58961-9_21, 2017-05-10)
    MORENO-GARCIA, C.F., SERRATOSA, F. and JIANG, X. 2017. An edit distance between graph correspondences. In Foggia, P., Liu, C.-L. and Vento, M (eds.) 2017. Graph-based representations in pattern recognition: proceedings of the 11th Image analysis in patter recognition technical committee 15th (IAPR-TC-15) international workshop (GbRPR 2017), 16-18 May 2017, Anacapri, Italy. Cham: Springer [online], pages 232-241. Available from: https://doi.org/10.1007/978-3-319-58961-9_21
    The Hamming Distance has been largely used to calculate the dissimilarity of a pair of correspondences (also known as labellings or matchings) between two structures (i.e. sets of points, strings or graphs). Although it ...
  • 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 ...

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