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View article: A comparative study of imputation techniques for missing values in healthcare diagnostic datasets
A comparative study of imputation techniques for missing values in healthcare diagnostic datasets Open
Missing values are a common feature of real-world datasets, particularly in healthcare data. This can be challenging when applying machine learning algorithms, as most models perform poorly in the presence of incomplete data. The goal of t…
View article: Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring
Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring Open
This study evaluates edge and cloud computing paradigms in the context of data-driven condition monitoring of rotating electrical machines. Two well-known platforms, the Raspberry Pi and Amazon Web Services Elastic Compute Cloud, are used …
View article: Condition Monitoring of Electric Machines: Modern Frameworks and Data-Driven Methodologies
Condition Monitoring of Electric Machines: Modern Frameworks and Data-Driven Methodologies Open
Electrical machines are at the centre of most engineering processes, with rotating electrical machines, in particular, becoming increasingly important in recent history due to their growing applications in electric vehicles and renewable e…
View article: On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets
On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets Open
Missing values or data is one popular characteristic of real-world datasets, especially healthcare data. This could be frustrating when using machine learning algorithms on such datasets, simply because most machine learning models perform…
View article: Improving Academic Advising in Engineering Education with Machine Learning Using a Real-World Dataset
Improving Academic Advising in Engineering Education with Machine Learning Using a Real-World Dataset Open
The role of academic advising has been conducted by faculty-student advisors, who often have many students to advise quickly, making the process ineffective. The selection of the incorrect qualification increases the risk of dropping out, …
View article: Modelling of Low-Voltage Varistors’ Responses under Slow-Front Overvoltages
Modelling of Low-Voltage Varistors’ Responses under Slow-Front Overvoltages Open
In this study, commercially low-voltage MOVs are exposed to switching surges to analyse and model the relationship between the number of surges and the MOV grain barrier height response. Repeated slow-front overvoltage transients are used …
View article: Comparing South Africa’s Sustainability and Circular Economic Roadmap to The Rest of the World
Comparing South Africa’s Sustainability and Circular Economic Roadmap to The Rest of the World Open
View article: The Influence of Circular Economy and 4IR Technologies on the Climate–Water–Energy–Food Nexus and the SDGs
The Influence of Circular Economy and 4IR Technologies on the Climate–Water–Energy–Food Nexus and the SDGs Open
The United Nations Member States created a common roadmap for sustainability and development in 2015. The UN-SDGs are included in the 2030 Plan as an immediate call to action from all nations in the form of global partnerships. To date, a …
View article: Student Performance Patterns in Engineering at the University of Johannesburg: An Exploratory Data Analysis
Student Performance Patterns in Engineering at the University of Johannesburg: An Exploratory Data Analysis Open
Globally, the increased demand for engineers is not matched by an increase in graduates. This is further exacerbated by the fact that student dropout rates in engineering are higher than in other disciplines. Understanding engineering stud…
View article: Supervisor perspectives in STEM PhD supervision: a social realist analysis of current trends
Supervisor perspectives in STEM PhD supervision: a social realist analysis of current trends Open
The traditional academic pipeline has branched out significantly in recent years. The motivation of students pursuing higher degrees has also changed dramatically in response to wider socio-economic needs. Supervisors of PhD students are c…
View article: Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset
Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset Open
Data-driven methods have prominently featured in the progressive research and development of modern condition monitoring systems for electrical machines. These methods have the advantage of simplicity when it comes to the implementation of…
View article: Boosted decision trees in the era of new physics: a smuon analysis case study
Boosted decision trees in the era of new physics: a smuon analysis case study Open
View article: Influence of Fermentation Conditions (Temperature and Time) on the Physicochemical Properties and Bacteria Microbiota of Amasi
Influence of Fermentation Conditions (Temperature and Time) on the Physicochemical Properties and Bacteria Microbiota of Amasi Open
The aim of this present study was to optimize the fermentation conditions (time and temperature) of amasi (a Southern African fermented dairy product) using response surface methodology (RSM), and to determine the physicochemical propertie…
View article: A Comparative Study of Ensemble Models for Predicting Road Traffic Congestion
A Comparative Study of Ensemble Models for Predicting Road Traffic Congestion Open
Increased road traffic congestion is due to different factors, such as population and economic growth, in different cities globally. On the other hand, many households afford personal vehicles, contributing to the high volume of cars. The …
View article: Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents
Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents Open
Road traffic accidents (RTAs) are a major cause of injuries and fatalities worldwide. In recent years, there has been a growing global interest in analysing RTAs, specifically concerned with analysing and modelling accident data to better …
View article: Development of a Stock Price Prediction Framework for Intelligent Media and Technical Analysis
Development of a Stock Price Prediction Framework for Intelligent Media and Technical Analysis Open
Equity traders are always looking for tools that will help them maximise returns and minimise risk, be it fundamental or technical analysis techniques. This research integrates tools used by equity traders and uses them together with machi…
View article: On the Use of Machine Learning for Soil Condition Monitoring
On the Use of Machine Learning for Soil Condition Monitoring Open
The sustainability of farming has come under tremendous pressure with growing demand, constrained resources, and climate change. Some of the key factors affecting large-scale farming and small-scale farming include soil fertility and maint…
View article: A modeling method for the development of a bioprocess to optimally produce umqombothi (a South African traditional beer)
A modeling method for the development of a bioprocess to optimally produce umqombothi (a South African traditional beer) Open
Bioprocess development for umqombothi (a South African traditional beer) as with other traditional beer products can be complex. As a result, beverage bioprocess development is shifting towards new systematic protocols of experimentation. …
View article: Predictive Maintenance Framework for Cathodic Protection Systems Using Data Analytics
Predictive Maintenance Framework for Cathodic Protection Systems Using Data Analytics Open
In the quest to achieve sustainable pipeline operations and improve pipeline safety, effective corrosion control and improved maintenance paradigms are required. For underground pipelines, external corrosion prevention mechanisms include e…
View article: Processing, nutritional composition and microbiology of amasi: A Southern African fermented milk product
Processing, nutritional composition and microbiology of amasi: A Southern African fermented milk product Open
View article: An Unsupervised Learning Approach to Condition Assessment on a Wound-Rotor Induction Generator
An Unsupervised Learning Approach to Condition Assessment on a Wound-Rotor Induction Generator Open
Accurate online diagnosis of incipient faults and condition assessment on generators is especially challenging to automate through supervised learning techniques, because of data imbalance. Fault-condition training and test data are either…
View article: Systematic Delineation of Media Polarity on COVID-19 Vaccines in Africa: Computational Linguistic Modeling Study
Systematic Delineation of Media Polarity on COVID-19 Vaccines in Africa: Computational Linguistic Modeling Study Open
Background The global onset of COVID-19 has resulted in substantial public health and socioeconomic impacts. An immediate medical breakthrough is needed. However, parallel to the emergence of the COVID-19 pandemic is the proliferation of i…
View article: Processing, Characteristics and Composition of Umqombothi (a South African Traditional Beer)
Processing, Characteristics and Composition of Umqombothi (a South African Traditional Beer) Open
Traditional beers, such as palm wine, kombucha and others, are notable beverages consumed all over the globe. Such beverages historically contribute to food security on a global scale. Umqombothi is a South African traditional beer nutriti…
View article: 2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)
2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA) Open
View article: Systematic Delineation of Media Polarity on COVID-19 Vaccines in Africa: Computational Linguistic Modeling Study (Preprint)
Systematic Delineation of Media Polarity on COVID-19 Vaccines in Africa: Computational Linguistic Modeling Study (Preprint) Open
BACKGROUND The global onset of COVID-19 has resulted in substantial public health and socioeconomic impacts. An immediate medical breakthrough is needed. However, parallel to the emergence of the COVID-19 pandemic is the proliferation of …
View article: Africa’s response to the COVID-19 pandemic: A review of the nature of the virus, impacts and implications for preparedness
Africa’s response to the COVID-19 pandemic: A review of the nature of the virus, impacts and implications for preparedness Open
Background: COVID-19 continues to wreak havoc in different countries across the world, claiming thousands of lives, increasing morbidity and disrupting lifestyles. The global scientific community is in urgent need of relevant evidence, to …
View article: Review of water energy food nexus in Africa: Morocco and South Africa as case studies
Review of water energy food nexus in Africa: Morocco and South Africa as case studies Open
The population of the African continent is significantly increasing which has given rise to societal, economic and environmental changes. This will generate an increase in demand for food, water and energy. Thus, strategies for sustainable…
View article: Exploratory framework for analysing road traffic accident data with validation on Gauteng province data
Exploratory framework for analysing road traffic accident data with validation on Gauteng province data Open
Exploratory data analysis (EDA) is often a necessary task in uncovering hidden patterns, detecting outliers, and identifying important variables and any anomalies in data. Furthermore, the approach can be used to gain insights by modelling…
View article: Mapping Reliability Predictors of Low-Voltage Metal Oxide Surge Arresters Using Contour Plots
Mapping Reliability Predictors of Low-Voltage Metal Oxide Surge Arresters Using Contour Plots Open
Reliability assessment of MOSA devices requires accurate estimation of life distribution parameters or reliability predictors. Estimated reliability predictors consist of reasonable indicators of failure probability and mean life trends as…
View article: A Review of Recommender Systems for Choosing Elective Courses
A Review of Recommender Systems for Choosing Elective Courses Open
In higher education, students face challenges when choosing elective courses in their study programmes. Most higher education institutions employ advisors to assist with this task. Recommender systems have their origins in commerce and are…