Traffic engineering label switched paths by Bagula, Bigomokero Antoine

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Degradation behaviour of the mechanical properties of bovine cortical bone by Daras, Nicholas

“…Simulations utilizing dynamic compression and cross-section data exhibit encouraging correlations with experimental observations. …”
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Mathematical optimisation of the suspension system of an off-road vehicle for ride comfort and handling

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A machine learning framework for security forecasting and trading by Van Schalkwyk, Philip

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Robust sampling-based conflict resolution for commercial aircraft in airport environments by Van den Aardweg, William

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Digital forensic readiness for IOT devices

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High performance non-symmetric multi-h CPFSK modulator and demodulator design by Cuthbert, James

“…The implementation of the first method was seen to function through simulations performed by using the TESLA simulation package. …”
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A study on the effect of lateral interactions on methanation over Fe(100) by Abrahams, Robin Kyle

“…Both methods showed a build-up of oxygen on the surface towards the end of the simulation. …”
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Automation of ultrasonic-based product tracking & traceability in supply chains by Mkombwe, Anorld

“…The research investigates the unique attributes of ultrasonic signals for product identification, focusing on frequency modulation, signal processing techniques, and integration with existing digital frameworks. The study utilizes simulation models and field testing to examine the reliability, accuracy, and cost-effectiveness of ultrasonic-based tracking across various supply chain stages. …”
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Evaluation and mitigation of the undesired effect of DC bias on inverter power transformer by Isumbingabo, Emma Francoise

“…DG systems are based on grid connected inverters and are increasingly being connected to utility grids to convert renewable energy sources to the utility grids. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…In this study, a solar PV array's MPPT control problem under PSCs is investigated and addressed by applying three model-free and off-policy deep reinforcement learning (DRL) algorithms such as Deep Deterministic Policy Gradient (DDPG), Soft Actor-Critic (SAC), and Deep Q-Network (DQN) algorithm. They are utilized mainly due to their robustness and ability to handle continuous state spaces, unlike the traditional RL method, which operates with discrete action and state domains. …”
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Development of a scaled doubly-fed induction generator for assessment of wind power integration issues by Dehnavifard, Hossein

“…The micro-machine is introduced in order to overcome the challenges of simulation models and the costs involved in field tests. …”
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…Simulation results substantiated the efficacy of the proposed method as the algorithm was established to learn from experience to raise the battery state of charge and optimally shift loads from a one-time instance, thus supporting the utility grid in reducing aggregate peak load. …”
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Nanosatellite rendezvous with electrical propulsion by Swart, Irvin

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Energy retrofit decision support model for existing educational buildings in Egypt by Eltahan, Rania

“…This model provides a method to manage budget against proposed retrofits taking energy efficiency and return on investment into consideration. …”
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A continuous-time formulation for spatial capture-recapture models by Distiller, Greg

“…Some examples of these new non-invasive sampling methods include scat or hair collection for genetic analysis, acoustic detection and camera trapping. …”
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Design and performance evaluation of a full rate, full diversity space-time-spreading code for an arbitrary number of Tx antennas

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…Likewise, the A2C was compared with the conventional actor-critic method in terms of stability, scalability and convergence. …”
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A system dynamics approach to managing project risks in the electricity industry in sub Saharan Africa

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