Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems by Isaac, Bernard Nyakundi

Get full text

Characterisation of the uranium leaching behaviour of low grade Vaal River ores by Lottering, Maria Johanna

Get full text

Machine learning approach to slice admission control in 5G wireless network by Ojijo, Mourice

“…By increasing the probability of admission during periods of resource availability, the findings demonstrate that the reinforcement learning agent improves long-term utility and fairness by 68.2%. Finally, this thesis proposes a novel sequential twin-actor critic (STAC) method that optimizes a two-stage action process—namely, slice admission control (SAC) and resilience maintenance—by adjusting network resource blocks (RBs) to maximize overall utility. …”
Get full text

Enhanced LSMC for Valuation of Options by Mekawy, Amr

“…With the leap in technological tools and dynamic programming, different models were introduced to present the algorithms used to value the option price.…”
Get full text
Get full text
Get full text
Get full text

Self-adapting simulated artificial societies by Gower-Winter, Brandon

“…Agent-Based Models (ABM) are computational models that utilize autonomous agents to interact and adapt to the environments in which they occupy. …”
Get full text

Application of differential evolution to power system stabilizer design by Mulumba, Tshina Fa

Get full text

Machine Learning for Radio Frequency Interference Flagging by Harrison, Kyle

“…Predictions for unseen test data are compared between algorithms, different implementations of those algorithms and each dataset. …”
Get full text

APIC: A method for automated pattern identification and classification by Goss, Ryan Gavin

“…While concepts such as Deep Learning have existed for many years, the computational power for realising the utility of these algorithms in real-world applications has only recently become available. …”
Get full text

Optimised path planning and path tracking for autonomous vehicles with constrained kinematics in ROS by Maseko, Bongani

Get full text

Detecting network attacks using high-resolution time series by Lorgat, Mohamed Wasim

“…The aim of this thesis is therefore to provide an underlying theory for understanding a single class of detection algorithms, in particular, anomaly-based network intrusion detection algorithms that utilise high-resolution time series data. …”
Get full text

Novel motion capture methods for sports analysis : case studies of cycling and rugby goal kicking by Cockroft, Stephen John

Get full text

Kalman Filtering and its Application to On-Line State Estimation of a Once-Through Boiler by Patel, Zubeida

“…The second part of this thesis uses these algorithms to demonstrate the feasibility of on-line state estimation on the main components of a once-through utility power boiler that require in excess of a hundred state variables to capture its behaviour with adequate fidelity. …”
Get full text

Automated analysis of digital medical images in cervical cancer screening: A systematic review by Ledwaba, Leshego

“…Furthermore, the systematic review summarized evidence of the algorithms which are being created utilizing portable devices, to circumvent constraints prohibiting wider implementation in LMICs (such as expensive diagnostic infrastructure). …”
Get full text

Guidance, navigation and control of a small, unmanned blended wing body aircraft by van Wyk, David

“…The purpose of this research is to document the design and optimisation of a full suite of guidance, navigation and control (GNC) algorithms for a small unmanned aerial vehicle (UAV), the Skywalker X8. …”
Get full text

A framework for evaluating clinical data using graph-based link prediction by Parshotam, Himil

Get full text

Robust electronic circuit design using evolutionary and Taguchi methods by Owadally, Muhammud Asaad

Get full text

Design, implementation and evaluation of current regulators for high power converters by Du Toit, Jacques Andre

Get full text