PySUNDIALS : Providing python bindings to a robust suite of mathematical tools for computational systems biology by Dominy, James Gilmour

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Blaze-DEM : a GPU based large scale 3D discrete element particle transport framework

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Software packages performance evaluation of basic radar signal processing techniques by Frantz, Xavier

“…Although Julia performed extremely well in terms of speed, it utilized the most memory for the processing techniques. …”
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Hierarchical model predictive control of a venlo-type greenhouse

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Computational intelligent systems : evolving dynamic Bayesian networks by Osunmakinde, Isaac Olusegun

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Automated learning rates in machine learning for dynamic mini-batch sub-sampled losses

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An object-oriented library for shared-memory parallel simulations by Machanick, Philip

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Efficient access network selection and data demand prediction for 5G systems by Paul, Udita

“…Based on the traffic analysis, the ideal placement of the data centre is formulated as a facility location problem and solved using the Weiszfeld’s algorithm. Additionally, based on the traffic analysis, the optimal dimensions of the data centre in different regions are heuristically obtained. …”
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End-to-End Autonomous Quadcopter using Reinforcement Learning by Chawa, Mohamed Marwan

“…We compare state-of-the-art RL algorithms, specifically Proximal Policy Optimization (PPO), against traditional Proportional-Integral-Derivative (PID) controllers across three tasks: hovering, slow trajectory following, and fast trajectory following. …”
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Project Leanness Score: A Machine Learning Approach by Said, Julia

“…Lean construction is a philosophy, backed with principles and tools, aiming at maximizing value, eliminating waste, optimizing efficiency, and seeking continuous improvement. …”
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Parametric Yield and Tolerance Optimisation of Electromagnetic Devices using Feature-based Non-Linear Partial Least Squares Polynomial Chaos Expansion Surrogates by Nfanyana, Ketshabile

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

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Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…Our customized Ape-X model is capable of successfully scheduling sets of jobs of size 50 with an average accuracy of 95% in comparison to other Reinforcement learning algorithms benchmarks conducted, e.g., Augmented Random Search, Proximal Policy Optimization, and Deep Q Networks. …”
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Machine learning methods for large deviations by Cloete, Daniël Willem Hendrik

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AN EFFICIENT INTERFERENCE AVOIDANCE SCHEME FOR DEVICE-TODEVICE ENABLED FIFTH GENERATION NARROWBAND INTERNET OF THINGS NETWOKS’ by unknown

“…Second, a bisection search approach is used to find the best power control that maximizes the network sum rate, and third, the Hungarian algorithm is used to build a maximum bipartite matching strategy to choose the optimal pairing pattern between the sets of NUEs and the D2D pairs. …”
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Load balancing using cell range expansion in LTE advanced heterogeneous networks by Nyembe, Wiseman Nkosingiphile

“…Then, we use cell range expansion, and logarithmic utility functions to design a load balancing algorithm. …”
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Improving the scalability of MAC protocols in wireless mesh network by Velempini, Mthulisi

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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. …”
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Critical Evaluation of DC-Grid and Strong Grid-Forming Wind Generator Systems by Dube, Lucky

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An investigation into the use of the vanadium redox flow energy storage system for peak-shaving and load-leveling by Diko, Mpho

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