Applications of Machine Learning in Apple Crop Yield Prediction by van den Heever, Deirdre

“…The methodology is based on a literature analysis that aims to provide a holistic view of the field of study by including research in the following domains: smart farming, machine learning, apple crop management and crop yield prediction. …”
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Predicting sustainable corporate entrepreneurship and sustained company performance

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Development and Prediction of a Construction Price Index in Egypt by Ramadan, Mohamed

“…This research aims to use data envelopment analysis (DEA) to develop a construction performance index from predictions of the construction companies’ stock market and construction price index from construction materials prices. …”
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A framework for modelling customer invoice payment predictions by Moore, Willem Roux

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Prediction and measurement of the performance of spray cooled heat exchangers by Kriel, Dawid Eduard

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Competitiveness and performance prediction of surface coal Mining Engineering

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An evaluation of liberation models for the prediction of diagnostic leaching results by Annandale, Gideon Johannes

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Historical Consistent Neural Networks for Wind Power Prediction by Rockefeller, Rockefeller

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Quantifying texture for acid rock drainage characterisation and prediction by Guseva, Olga

“…Recommendations for future work include: the quantitative assessment of the ARDI for meso-scale material; the assessment of detailed characterisation and prediction test leachate chemistry; trace element assessment and deportment throughout UCT batch biokinetic and humidity cell testing; mineralogical and textural assessment on characterisation and prediction test residues during and after tests; an in-depth analysis of the minimal/optimal sample block/sub-sample mass required for minimal error; the assessment of samples using X-ray microcomputed tomography to assess and decrease the effects of stereological bias prevalent in 2D measurements; and the application of a similar texture and mineralogy assessment to additional waste types (such as coal wastes, or waste material containing non-Fe-bearing sulfides).…”
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Using Hybrid Machine learning Models for Stock Price Forecasting and Trading. by Khalil, Ahmed

Subjects: “…stock price prediction…”
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Model development to predict environmental concentrations of chemical substances in marine sediment when the substance is applied via feed in marine aquaculture: Task 1.4. Model setup and analysis

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Prediction of loss to follow-up in postpartum others living with HIV by Fielding, Christopher

“…Previous studies have focused on the aetiology of loss to follow-up, with little emphasis on predictive methods. The aim of this study was to use machine learning methods, applied to routine care data, to predict loss to follow-up among postpartum women living with HIV. …”
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Predicting employee voluntary turnover using human resources data by Syce, Chantal

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Sediment yield prediction based on analytical methods and mathematical modelling by Msadala, V. P.

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Predicting the Bull Run: scientific evidence for turning points of markets by Davies, Jerome Edward

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Defining a method to predict mouth morphology in edentulous skulls by Daniels, Luke-John

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Does distress predict central sensitisation in people living with HIV? by Mqadi, Luyanduthando

“…One study that used magnesium sulphate found no effect of magnesium on the surface area of SH. Meta-analysis Forty studies (seven assessing the magnitude of SH) were included in the meta-analysis. …”
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Protein secondary structure prediction using amino acid regularities

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Prediction of Distresses in Pavement Networks: A Machine Learning Approach by Kotb, Mahmoud

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Essays on determinants spillovers and predictability of the South African stock returns

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