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VAN VUUREN, J.H. [Author]
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Naudé, A. and van Vuuren, J.H.
A machine learning framework for data-driven defect detection in multistage manufacturing systems
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S. Afr. J. Ind. Eng.
, Aug 2024, vol.35, no.2, p.154-170. ISSN 2224-7890
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van der Westhuyzen, N.J. and van Vuuren, J.H.
Fitness landscape measures for analysing the topology of the feasible region of an optimisation problem
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S. Afr. J. Ind. Eng.
, Nov 2023, vol.34, no.3, p.270-285. ISSN 2224-7890
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Koegelenberg, D.J.C and van Vuuren, J.H.
Heterogeneous trading strategy ensembling for intraday trading algorithms
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S. Afr. J. Ind. Eng.
, Nov 2023, vol.34, no.3, p.156-169. ISSN 2224-7890
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Barrish, D. and van Vuuren, J.H.
A taxonomy of univariate anomaly detection algorithms for predictive maintenance
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S. Afr. J. Ind. Eng.
, Nov 2023, vol.34, no.3, p.28-42. ISSN 2224-7890
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Schoonbee, L., Moore, W.R. and van Vuuren, J.H.
A machine-learning approach towards solving the invoice payment prediction problem
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S. Afr. J. Ind. Eng.
, Dec 2022, vol.33, no.4, p.126-146. ISSN 2224-7890
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Hüsselmann, G., van Vuuren, J.H. and Andersen, S.J.
Walk modelling when designing small bus transit networks
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S. Afr. J. Ind. Eng.
, Dec 2021, vol.32, no.4, p.83-98. ISSN 2224-7890
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Movius, S.J. and van Vuuren, J.H.
A case for implementing self-organising traffic signal control on South African roads
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S. Afr. J. Ind. Eng.
, Aug 2019, vol.30, no.2, p.131-145. ISSN 2224-7890
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van Heerden, S.A. and van Vuuren, J.H.
Optimisation of stock keeping unit placement in a retail distribution centre
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S. Afr. J. Ind. Eng.
, Aug 2018, vol.29, no.2, p.74-91. ISSN 2224-7890
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Steynberg, R., Lötter, D.P. and van Vuuren, J.H.
Framework for identifying the most likely successful underprivileged tertiary study bursary applicants
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S. Afr. J. Ind. Eng.
, Aug 2017, vol.28, no.2, p.59-77. ISSN 2224-7890
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Schlünz, E.B., Bokov, P.M. and van Vuuren, J.H.
An optimisation-based decision support system framework for multi-objective in-core fuel management of nuclear reactor cores
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S. Afr. J. Ind. Eng.
, Nov 2016, vol.27, no.3, p.201-209. ISSN 2224-7890
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