Research output can be seen as the result of research and study which is done by an institutions' research community - usually in publicised form such as an article or book. The NWU-IR drives to raise the visibility of the outputs both locally and internationally to create further awareness of what is being done by the NWU.

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Recent Submissions

  • Morpho-agronomic evaluation of lagenaria siceraria landraces and their F₁ populations 

    Nkosi, Lungani Siyabonga; Ntuli, Nontuthuko Rosemary; Mavengahama, Sydney (MDPI, 2022)
    Lagenaria siceraria is one of the most important cucurbitaceous vegetables due to its prolific bearing habit, its edibility as a cooked vegetable, and its low cost of cultivation. The objective of this study was to evaluate ...
  • A regression model for predicting the likelihood of reporting a crime based on the victim’s demographic variables and their perceptions towards the police 

    Montshiwa, Tlhalitshi Volition; Pulenyane, Malebogo (De Gruyter, 2020)
    Despite the growing criminal activities in South Africa,many victims still do not report the crimes, therefore there was a need to understand the determinants of the likelihood of reporting a crime in the country. Binary ...
  • "Bloed" (uit Melk): Tuiskoms in Afrika 

    Meyer, Susan (Suid-Afrikaanse Akademie vir Wetenskap en Kuns, 2021)
    ‘n Groot gedeelte van Elsa Joubert se vroeë oeuvre word tematies oorheers deur die wyse waarop die mens van Afrika telkens nuwe insigte vorm omtrent die werklikheid van diepgeankerde wortels in verskillende wêrelde: ...
  • Ecocritical Concerns in Select Afrikaans Narrative Works: Critical Perspectives 

    Meyer, Susan (UNISA Press, 2021)
    Environmentally oriented literary and cultural studies, or ecocriticism for short, gained traction in the United States of America in the late 1980s. It took root in South Africa no earlier than the start of this century ...
  • Identifying the drivers of trade finance in South Africa 

    Boshoff, S; Van Vuuren, G; Viviers, W (Taylor & Francis, 2020)
    Trade finance (or bank intermediated trade finance) plays an integral role in facilitating trade across the globe: most studies assert that trade finance (TF) forms part of more than 80% of total global trade. Although TF ...
  • Implementation of a multimodal academic literacy resource at a South African University: a critical autoethnographic reflection 

    Andrianatos, Kristien (IGI Global, 2021)
    As a lecturer at a higher education institution in South Africa, the author is conscious of an emphasis placed on multimodal resources as part of the globally experienced shift to teach remotely due to the COVID-19 epidemic. ...
  • Anthelmintic potency of Rumex crispus L. extracts against Caenorhabditis elegans and non-targeted identification of the bioactive compounds 

    Idris, Oladayo Amed; Wintola, Olubunmi Abosede; Afolayan, Anthony Jide (Elsevier, 2021)
    Traditional healers and ethnoveterinary therapists use several medicinal plants, such as Rumex crispus L., to treat endoparasite infections. R. crispus has been established by researchers to be effective agasint a few ...
  • Research progression of the Genus Merremia: a comprehensive review on the nutritional value, ethnomedicinal uses, phytochemistry, pharmacology, and toxicity 

    Olatunji, Tomi Lois; Adetunji, Ademola Emmanuel; Olisah, Chijioke; Idris, Oladayo Amed; Saliu, Oluwaseyi Damilare; Siebert, Frances (MDPI, 2021)
    The genus Merremia Dennst. ex Endl. (Convolvulaceae) is a rich source of structurally diverse phytochemicals with therapeutic relevance. This review presents the first comprehensive, up-to-date information and research ...
  • South African wild fruits and vegetables under a changing climate: the implications on health and economy 

    Salami, Serifat Olatundun; Adegbaju, Oluwafunmilayo Dorcas; Idris, Oladayo Amed; Jimoh, Muhali Olaide; Olatunji, Tomi Lois; Omonona, Solomon; Orimoloye, Israel Ropo; Adetunji, Ademola Emmanuel; Olusola, Adeyemi; Maboeta, Mark Steve; Laubscher, Charles Petrus (Elsevier, 2021)
    Overdependence on exotic plant species constitutes a major setback for the consumption of wild fruits and vegetables among South Africans. The country is not spared from the adverse effects of climate change which play a ...
  • Global trends of green pesticide research from 1994 to 2019: a bibliometric analysis 

    Smith, Hein Hendrik; Idris, Oladayo Amed; Maboeta, Mark Steve (Journal of Toxicology, 2021)
    The fast-growing world population places food production under enormous pressure to ensure food security. One of the most common methods to increase food production is the use of pesticides, but the continuous use thereof ...
  • Tracking translation invariance in CNNs 

    Myburgh, Johannes C.; Mouton, Coenraad; Davel, Marelie H. (Southern African Conference for Artificial Intelligence Research, 2020)
    Although Convolutional Neural Networks (CNNs) are widely used, their translation invariance (ability to deal with translated inputs) is still subject to some controversy. We explore this question using translation-sensitivity ...
  • Stride and translation invariance in CNNs 

    Mouton, Coenraad; Myburgh, Johannes C.; Davel, Marelie H. (Southern African Conference for Artificial Intelligence Research, 2020)
    Convolutional Neural Networks have become the standard for image classification tasks, however, these architectures are not invariant to translations of the input image. This lack of invariance is attributed to the use of ...
  • Pairwise networks for feature ranking of a geomagnetic storm model 

    Beukes, Jacques Pieter; Davel, Marelie Hattingh; Lotz, Stefan (South African Institute of Computer Scientists and Information Technologists, 2020)
    Feedforward neural networks provide the basis for complex regression models that produce accurate predictions in a variety of applications. However, they generally do not explicitly provide any information about the utility ...
  • Using summary layers to probe neural network behaviour 

    Davel, Marelie Hattingh (South African Institute of Computer Scientists and Information Technologists, 2020)
    No framework exists that can explain and predict the generalisation ability of deep neural networks in general circumstances. In fact, this question has not been answered for some of the least complicated of neural network ...
  • Benign interpolation of noise in deep learning 

    Davel, Marelie Hattingh; Barnard, Etienne; Theunissen, Marthinus Wilhelmus (South African Institute of Computer Scientists and Information Technologists, 2020)
    The understanding of generalisation in machine learning is in a state of flux, in part due to the ability of deep learning models to interpolate noisy training data and still perform appropriately on out-of-sample data, ...
  • Pre-interpolation loss behavior in neural networks 

    Venter, Arthur Edgar William; Theunissen, Marthinus Wilhelm; Davel, Marelie Hattingh (Springer, 2020)
    When training neural networks as classifiers, it is common to observe an increase in average test loss while still maintaining or improving the overall classification accuracy on the same dataset. In spite of the ubiquity ...
  • The South African directory enquiries (SADE) name corpus 

    Thirion, Jan Willem Frederick; Van Heerden, Charl Johannes; Giwa, Oluwapelumi; Davel, Marelie Hattingh (Springer, 2020)
    We present the design and development of a South African directory enquiries (DE) corpus. It contains audio and orthographic transcriptions of a wide range of South African names produced by first language speakers of four ...
  • Optimising word embeddings for recognised multilingual speech 

    Barnard, Etienne; Heyns, Nuette (Southern African Conference for Artificial Intelligence Research, 2020)
    Word embeddings are widely used in natural language processing (NLP) tasks. Most work on word embeddings focuses on monolingual languages with large available datasets. For embeddings to be useful in a multilingual ...
  • Classifying recognised speech with deep neural networks 

    Strydom, Rhyno A; Barnard, Etienne (Southern African Conference for Artificial Intelligence Research, 2020)
    We investigate whether word embeddings using deep neural networks can assist in the analysis of text produced by a speechrecognition system. In particular, we develop algorithms to identify which words are incorrectly ...

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