An unsupervised approach to COVID-19 fake tweet detection by Jarana, Bulungisa

“…The methodology includes a literature review, experimental analysis, and the utilization of a Twitter dataset. Methods: The study used both Mini-Batch K-means and K-means algorithms of clustering techniques to provide us with ‘grouping' of Twitter data in the two of clusters. …”
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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…This is in contrast with other heuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) that require other control parameters (i.e. …”
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Efficient radio resource management for future generation heterogeneous wireless networks by Adedoyin, Mary Abosede

“…Also, the proposed algorithms display excellent performance in dynamic wireless environments.…”
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Portfolio constuction using robust weight functions by Mvubu, Thokozani

“…The Sharpe Single Index and the Improved Sharpe Single Index models have been formulated in a bid to form better performing models. In the optimization algorithms, these models tend to not select highly volatile shares and thus eliminate the possibility of making better returns in the event these shares perform very well. …”
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Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses

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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

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Predictive Maintenance: Leveraging Hybrid LSTM-CNN Architectures for Enhanced Performance by El Sadeek, Kamal Mohamed

“…On the NASA Battery dataset, where data is less variable, optimization through Genetic Algorithms (GA) proved highly effective. …”
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Direct digital control of D.C. machines by Von Zwiklitz, Aubrey Paul

“…The time, and memory, utilization was such that such algorithms could be extended to the control of several machines, using the single computer, if sufficient input and output facilities were available.…”
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An initial solution heuristic for the vehicle routing and scheduling problem.

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Towards context aware opportunistic forwarding in social pervasive systems by Al Ayyat, Soumaia

“…We focus on the challenges facing such algorithms and the drawbacks in performance as relates to efficiency, effectiveness, power awareness, and utilization fairness. …”
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Multiobjective in-core fuel management optimisation for nuclear research reactors by Schlunz, Evert Barend

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Mitigation of control errors in quantum annealing by Dlamini, Thembelihle Rose

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A Comparison Between Machine Learning Techniques to Find Leaks in Pipe Networks

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Die identifisering en karakterisering van veldekotope in die noordwes-Transvaalse suur- en gemengde bosveld

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Genetic Programming Approach for Nonstationary Data Analytics

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An integrated and intelligent metaheuristic for constrained vehicle routing

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Machine Learning Based Critical Resource Allocation in Mixed-Traffic Cellular Networks by Nomeir, Mohamed

“…The results show that the proposed algorithms produce near-optimal results in real-time.…”
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An interactive construction deployment planning model for the SKA project by Rens, Johannes Petrus

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Transient stability assessment of hybrid distributed generation using computational intelligence approaches by Olulope, Paul Kehinde

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Routing in packet switched computer communication networks by Inglesby, Paul

“…This thesis concerns the optimization of the routing path in packet-switched computer-communication networks. …”
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