Dataset shift in land-use classification for optical remote sensing

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Recognizing contextual valence shifters in document-level sentiment classification by Morsy, Sara Ahmed

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Afrikaans-English in the Western Cape : a descriptive socio-linguistic investigation by Watermeyer, Susan Jean

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A mobile application promoting good contact lens practices by Naidoo, Terushka

“…A mobile application was built for the study with three main features: a lens change reminder, an information feature, and a diagnosis facility to aid contact lens wearers when they encounter any problems. …”
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Problems in cosmology and numerical relativity by Mongwane, Bishop

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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

“…The enhancement methodology combines elevation and terrain features data alignment (co-registration and resampling) with feature-level fusion (ensemble learning) into a DEM enhancement framework. …”
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Integrated use of polarimetric Synthetic Aperture Radar (SAR) and optical image data for land cover mapping using an object-based approach by De Beyer, Leigh Helen

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Real-Time behaviour classification techniques in low-power animal borne sensor applications by Solomon Petrus, Le Roux

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Identifying the topic-specific influential users in Twitter by Shalaby, May

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The representation and distribution of conjunctions in selected Sepedi home language textbooks : a corpus-based Investigation

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Utilizing graph-based representation of text in a hybrid approach to multiple documents summarization by Mahmoud, May Sayed

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The contribution of manganese oxides to redox buffering in selected soils of the South African Highveld

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Hybrid Intelligent Predictive Maintenance Model for Multiclass Fault Classi by Buabeng, Albert, Simons, Anthony, Frimpong, Nana Kena, Ziggah, Yao Yevenyo

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Digital financial inclusion: determinants of M-Shwari in Kenya by Kiptorus, Joan Jesang

“…This may be due to the plethora of options at their disposal that offer superior benefits over and above those offered by M-Shwari. Education was also a significant determinant and the study found that those with higher levels of education were more likely to use the deposit feature of M-Shwari, but less likely to use the loan feature. …”
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