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Browsing Conference Publications by Subject "Machine learning"

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5G network slice resource overbooking: An opportunity for telcos to boost their revenue

Author: Mamushiane, Lusani ; Mwangama, J ; Lysko, Albert A ; Kobo, Hlabishi I Date: Aug 2022 The global impact of COVID-19 has been unprecedented, with over-the-top (OTT) services consumption growing at a staggering rate. While OTT does consume revenue-generating data, OTT services are gradually substituting the traditional primary ... Read more
Anomaly based intrusion detection for a biometric identification system using neural networks

Author: Mgabile, T ; Msiza, IS ; Dube, E Date: Oct 2012 This manuscript presents a supervised machine learning approach in the identification of network attacks on a fingerprint biometric system. To reduce the problem of malicious acts on a biometric system, this manuscript proposes an intrusion ... Read more
A bibliometric approach to support redefining management of technology for the post-digital world

Author: Oosthuizen, Rudolph Date: Sep 2021 Management of Technology (MoT) has evolved since its inception in the 1980s and definitions from the 1990s. However, the field's definition may not be keeping up with the ever-increasing changes in our world. This paper implements bibliometrics, ... Read more
A cloud-based road infrastructure analysis system using machine learning

Author: Naidoo, Thegaran ; Verster, Jacobus J ; Marais, Stephen T Date: Nov 2022 A cloud-based road infrastructure analysis system was developed to assist as an information management system for detecting and managing information about road defects and road assets. The system uses computer vision and machine learning ... Read more
A comparative study of over-sampling techniques as applied to seismic events

Author: Mokoatle, Mpho ; Coleman, Toshka ; Mokilane, Paul M Date: Dec 2023 The likelihood that an earthquake will occur in a specific location, within a specific time frame, and with ground motion intensity greater than a specific threshold is known as a seismic hazard. Predicting these types of hazards is crucial ... Read more
The contribution of high-performance computing and modelling for industrial development

Author: Sithole, Happy M ; Ubbink, Onno Date: Oct 2017 This presentation discusses how high-performance computing (HPC) combined with machine learning and artificial intelligence, present opportunities to non-traditional industries. It showcases how the CSIR’s renewed focus on industrialisation ... Read more
Cross-dataset performance evaluation of deep learning distracted driver detection algorithms

Author: Zandamela, Frank ; Ratshidaho, Terence ; Nicolls, F ; Stoltz, George G Date: Nov 2022 Deep learning has gained traction due its supremacy in terms of accuracy and ability to automatically learn features from input data. However, deep learning algorithms can sometimes be flawed due to many factors such as training dataset, ... Read more
‘Data Poisoning’ – Achilles heel of cyber threat intelligence systems

Author: Mahlangu, Thabo V ; January, Sinethemba ; Mashiane, Charmaine T ; Dlamini, Thandokuhle M ; Ngobeni, Sipho J ; Ruxwana, Lennox N Date: Feb 2019 In the cyberspace, system defenders might have an idea of their own cybersecurity defense systems, but they surely have a partial view of the cyberspace battlefield and almost zero knowledge of the attackers. Evidently, the arm's race between ... Read more
Deploying artificial intelligence in the wireless infrastructure: The challenges ahead

Author: Vázquez, MA ; Pallois, JP ; Debbah, M ; Masouros, C ; Kenyon, T ; Deng, Y ; Mekuria, Fisseha ; Peres-Neira, A ; Erfanian, J Date: Sep 2019 The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora ... Read more
Development of a graphical user interface as a learning tool for artificial intelligence

Author: Botha, Natasha ; Marais, Stephen T Date: Nov 2021 This study developed a Graphical User Interface (GUI) aimed at teaching the concepts of Machine Learning (ML) algorithms which form the backbone of Artificial Intelligence (AI). This is done by means of tutorial videos and allowing the student ... Read more
The development of deep learning in synthetic aperture radar imagery

Author: Schwegmann, Colin P ; Kleynhans, Waldo ; Salmon, BP Date: May 2017 The usage of remote sensing to observe environments necessitates interdisciplinary approaches to derive effective, impactful research. One remote sensing technique, Synthetic Aperture Radar, has shown significant benefits over traditional ... Read more
Domain-specific sentiment analysis of tweets using machine learning methods

Author: Sefara, Tshephisho Joseph ; Rangata, Mapitsi R Date: Dec 2023 Most general sentiment analysers degrade quality when tested on Tweets in the broadcast domain. This domain covers both radio and television broadcast. This paper proposes domain-specific data in the broadcast domain. Furthermore, it proposes ... Read more
Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques

Author: Ngxande, Mkhuseli ; Tapamo, J-R ; Burke, Michael G Date: Nov 2017 This paper presents a literature review of driver drowsiness detection based on behavioral measures using machine learning techniques. Faces contain information that can be used to interpret levels of drowsiness. There are many facial features ... Read more
The effects of normalisation methods on speech emotion recognition

Author: Sefara, Tshephisho J Date: Nov 2019 Speech emotion recognition systems require features to be extracted from the speech signal. These features include Time, Frequency, and Cepstral-domain features. To normalise features, it is a challenging task to select an appropriate ... Read more
Efficient generation of pronunciation dictionaries: human factors factors during bootstrapping

Author: Davel, MH ; Barnard, E Date: Oct 2004 Bootstrapping techniques have significant potential for the efficient generation of linguistic resources such as electronic pronunciation dictionaries. The authors describe a system and an approach to bootstrapping for the development of such ... Read more
Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping

Author: Davel, MH ; Barnard, E Date: Oct 2004 The authors focus on factors related to the underlying rule-extraction algorithms, and demonstrate variants of the Dynamically Expanding Context algorithm, which are beneficial for this application. They show that continuous updating of the ... Read more
Emotional speaker recognition based on machine and deep learning

Author: Sefara, Tshephisho J ; Mokgonyane, TB Date: Nov 2020 Speaker recognition is a method which recognise a speaker from characteristics of a voice. Speaker recognition technologies have been widely used in many domains. Most speaker recognition systems have been trained on normal clean recordings, ... Read more
Employment relations: A data driven analysis of job markets using online job boards and online professional networks

Author: Marivate, Vukosi N ; Moorosi, Nyalleng Date: Aug 2017 Data from online job boards and online professional networks present an opportunity to understand job markets as well as how professionals transition from one job/career to another. We propose a data driven approach to begin to understand a ... Read more
Fingerprint prediction using classifier ensembles

Author: Molale, P ; Twala, B ; Seeletse, S Date: Nov 2011 In this study, the application of classifiers to problems in fingerprint prediction is investigated. Six supervised learning and two statistical fingerprint classification methods (classifiers) are considered: linear discriminant analysis ... Read more
HMM-based speech synthesis system incorporated with language identification for low-resourced languages

Author: Sefara, Tshephisho J ; Mokgonyane, TB ; Manamela, MJ ; Modipa, TI Date: Aug 2019 Text-to-speech (TTS) synthesis systems are of benefit towards learning new or foreign languages. These systems are currently available for various major languages but not available for low-resourced languages. Scarcity of these systems may ... Read more

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