Now showing items 1-2 of 2

  • Facilitating DL-based hybrid reasoning with inference fusion. 

    Hu, Bo; Arana, Ines; Compatangelo, Ernesto (Elsevier http://dx.doi.org/10.1016/S0950-7051(03)00026-1, 2003-07)
    HU, B., ARANA, I. and COMPATANGELO, E., 2003. Facilitating DLbased hybrid reasoning with inference fusion. Knowledge Based Systems, 16 (5-6), pp. 42-48.
    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 ...
  • 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 ...