Search
Now showing items 1-7 of 7
Morphological segmentation of isiXhosa using unsupervised machine learning
(North-West University (South Africa), 2021)
In this work the use of unsupervised machine learning in the morphological segmentation of Nguni languages, evaluated on isiXhosa, is advanced. The work researches, extends, implements and evaluates unsupervised machine ...
Modelling the impact of antenna installation error on network performance
(North-West University (South Africa), 2020)
This dissertation models the impact of antenna installation errors on network perfor-mance of a Long Term Evolution (LTE) site. To test the impact of antenna installation parameters (antenna height and mechanical tilt), ...
Automatic Modulation Classification through clustering in the I/Q plane
(North-West University (South Africa), 2020)
Automatic Modulation Classification (AMC) refers to a process where the modulation scheme of a signal of interest is determined. It is not a requirement of an AMC system to recover the original data contained in the signal. ...
Development of a machine learning plant growth estimator for hydroponics
(North-West University (South Africa)., 2022)
Growth stage estimation in indoor farming is crucial for precision agriculture. It reduces
the wastage of resources such as nutrients and water in plant cultivation. Overly, yield
and quality of the agricultural produce ...
Evaluation of lightweight data integrity algorithms for the Internet of Things
(North-West University (South Africa)., 2022)
Advances in ubiquitous computing have led to the use of the Internet of Things (IoT). IoT interconnects various physical objects, such as computers, mobile phones, vehicles, and sensors, to the internet. In an IoT platform, ...
A cluster-based Bayesian approach to reliable route discovery in large-scale mobile ad hoc networks
(2021)
The application of MANETs have become a central point of focus in the development of wireless networks. However, MANETs still face the challenge of reliable route discovery in large-scale networks under adverse node failure ...
Morphological segmentation of isiXhosa using unsupervised machine learning
(North-West University (South Africa)., 2021)
In this work the use of unsupervised machine learning in the morphological segmentation of Nguni languages, evaluated on isiXhosa, is advanced. The work researches, extends, implements and evaluates unsupervised machine ...