Research Output
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.
Collections in this community
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Faculty of Education [733]
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Faculty of Engineering [1115]
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Faculty of Health Sciences [2369]
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NWU Official [119]
Items published by the Rector, Vice-Rector and other various staff members of the North-West University
Recent Submissions
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Implementation of a multimodal academic literacy resource at a South African University: a critical autoethnographic reflection
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Exploring neural network training dynamics through binary node activations
(Southern African Conference for Artificial Intelligence Research, 2020)Each node in a neural network is trained to activate for a specific region in the input domain. Any training samples that fall within this domain are therefore implicitly clustered together. Recent work has highlighted ... -
Using a meta-model to compensate for training-evaluation mismatches
(Southern African Conference for Artificial Intelligence Research, 2020)One of the fundamental assumptions of machine learning is that learnt models are applied to data that is identically distributed to the training data. This assumption is often not realistic: for example, data collected ... -
Convolution algebra for extended Feller convolution
(Springer, 2020)We apply the recently introduced framework of admissible homomorphisms in the form of a convolution algebra of C2-valued admissible homomorphisms to handle two-dimensional uni-directional homogeneous stochastic kernels. ... -
Comments on: Tests for multivariate normalit: a critical review with emphasis on weighted L2 -statistics
(Springer, 2020)We discuss extension of the BHEP test to more general families of distributions -
Comparison of body mass index and fat percentage criteria classification of 7-13 year-old rural boys in South Africa
(BMC, 2020)Abstract Background: The aim of this paper was to investigate whether BMI and fat percentage classification criteria, would classify a sample of 7–13 year old boys from a rural background in similar nutritional ...
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