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Browsing Modelling and digital science by Title

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  • Adekola, O; Majozi, T (Elsevier, 2011-12)
    Wastewater minimization can be achieved by employing water reuse opportunities. This paper presents a methodology to address the problem of wastewater minimization by extending the concept of water reuse to include a ...
  • Msiza, IS; Nelwamondo, Fulufhelo V; Marwala, T (Academy Publisher, 2008-11)
    Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as a result, water supply entities have the ...
  • Heyns, Johan A; Oxtoby, Oliver F; Malan, AG (ECCOMAS 2012, 2012-09)
    This study presents the development and extension of free-surface modelling techniques with the purpose of improving the modelling accuracy for liquid-gas sloshing. Considering high density ratio fluids under low Mach ...
  • Heyns, Johan A; Malan, AG; Harms, TM; Oxtoby, Oliver F (Elsevier, 2013-05)
    This paper presents a weakly compressible volume-of-fluid formulation for modelling immiscible high density ratio two-fluid flow under low Mach number conditions. This follows findings of experimental analyses that concluded ...
  • Masango, Mfundo G; Mouton, Francois; Antony, Palesa; Mangoale, Bokang C (IEEE, 2017-09)
    Websites have become a form of information distributors; usage of websites has seen a significant rise in the amount of information circulated on the Internet. Some businesses have created websites that display services ...
  • Pearson, D; Irwin, Barry VW; Herbert, A (2017-09)
    Malicious entities are constantly trying their luck at exploiting known vulnerabilities in web services, in an attempt to gain access to resources unauthorized access to resources. For this reason security specialists ...
  • Booth, R; Casini, G; Meyer, T; Varzinczak, I (Commonsense Reasoning, 2015-03)
    We continue recent investigations into the problem of reasoning about typicality. We do so in the framework of Propositional Typicality Logic (PTL), which is obtained by enriching classical propositional logic with a ...
  • Rosman, Benjamin S; Ramamoorthy, S (2012-11)
    The computational complexity of learning in sequential decision problems grows exponentially with the number of actions available to the agent at each state. We present a method for accelerating this process by learning ...
  • Fisher, JT; Witkowski, TF; Erasmus, BFN; Mograbi, PJ; Asner, GP; Van Aardt, JAN; Wessels, Konrad J; Mathieu, Renaud SA (Wiley, 2015-07)
    Question: Increasing population pressure, socio-economic development and associated natural resource use in savannas are resulting in large-scale land cover changes, which can be mapped using remote sensing. Is a ...
  • Abu-Mahfouz, Adnan MI (2012-10)
    MI2T-WSN is a multi-level infrastructure of interconnected testbeds of large-scale WSNs. MI2T-WSN consists of 1000 sensor motes that will be distributed into four different testbeds. The variations of these testbeds will ...
  • Lysko, Albert A (IEEE, 2016-07)
    There is a need for work around improving frequency spectrum utilization efficiency to support the South African government targets of 100% broadband by 2020, with tough specifications stated by the National Broadband ...
  • Burke, Ivan D; Van Heerden, Renier P (IGI Global, 2017-10)
    Data breaches are becoming more common and numerous every day, where huge amount of data (corporate and personal) are leaked more frequently than ever. Corporate responses to data breaches are insufficient, when commonly ...
  • Grobler, TL; Van Zyl, AJ; Olivier, JC; Kleynhans, W; Salmon, BP; Penzhorn, WT (Academic Journals, 2012-01)
    In this paper we reviewed Wu’s algorithm and introduced it as a cryptanalysis technique. This study reveals that when Wu’s algorithm is used for cryptanalysis it simplifies. This is true because Wu’s algorithm has to be ...
  • Sefara, Tshephisho J; Modupe, Abiodun (IEEE, 2019-11)
    The impressive improvement in performance obtained using neural networks for automatic speech recognition (ASR) have motivated the application of neural networks to other speech technologies such as speaker, emotion, ...
  • Long, Craig S; Loveday, Philip W; Forbes, A (SpringerVerlag, 2012-04)
    Piezoelectric bimorph- or unimorph-type deformable mirrors are commonly used in adaptive optics to correct for time-dependent phase aberrations. In the optics community, the surface deformations that deformable mirrors are ...
  • Long, Craig S; Loveday, Philip W; Forbes, A (Springer Verlag, 2012-04)
    Piezoelectric bimorph- or unimorph-type deformable mirrors are commonly used in adaptive optics to correct for time-dependent phase aberrations. In the optics community, the surface deformations that deformable mirrors are ...

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