Towards the development of an optimal SDN controller placement framework to expedite SDN deployment in emerging markets by Mamushiane, Lusani

“…In order to contextualize the problem to emerging markets and maintain realism, a local national research and education wide area network called SANReN is used to test the proposed algorithms. This study can potentially be used by network operators as a guideline to start integrating SDN or plan a new SDN deployment, by helping them make quick automatic decisions regarding optimal controller placement.…”
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The construction of optimal socially responsible investment portfolios in South Africa using traditional and artificial intelligence techniques by Dlamini, Nondumiso

“…Portfolios are compared based on risk-adjusted returns, diversification and stability. On average, AI algorithms produced optimal SRI portfolios with higher risk-adjusted returns. …”
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On the theory and practice of anomaly detection in time series by Barrish, Daniel

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A Proper Orthogonal Decomposition-based inverse material parameter optimization method with applications to cardiac mechanics by Moodley, Kamlin

“…The calibration method combines a MATLAB-based Levenberg Marquardt algorithm with the in-house PODIbased software ORION. …”
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Grid-connected hybrid energy system modeling and optimization study for green hydrogen production in South Africa by Mukoni, Esmerelda

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Optimal pathway towards building EPC rating improvements align with building energy performance certificate programme

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The crossing number of a graph in the plane by Winterbach, Wynand

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Characterising continuous optimisation problems for particle swarm optimisation performance prediction

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Efficient call management in broadband networks by Inggs, Andrew Mark

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Characterizing the complexity of tabular machine learning classification problems by Erwin, Kyle Harper

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Metaheuristic Techniques to Optimize Trajectory Planning of UAV Swarms: Enhancing Data Acquisition in Wireless Sensor Networks by Ahmed, Nada Ali Mohamed Ahmed

“…The framework uses metaheuristic optimization to find near-optimal solutions to these optimization problems. …”
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Using particle swarm optimisation to train feedforward neural networks in dynamic environments

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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…Numerical simulation results indicated that the algorithm learned to select an optimized energy schedule that minimizes energy cost (cost of power purchased from the utility based on the time-varying tariff and battery wear cost) in both summer and winter case studies. …”
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The design and development of GPU accelerated algorithms for ab initio integrals and integral derivatives illustrated on ab initio quantum and hybrid QM/MM dynamics by Renison, Carina Alicia

“…A speedup of up to 9.3X is achieved for an ab initio gradient calculation compared to the CPU running an optimized serial version of GAMESS-UK using the Schlegel method. …”
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Mobile robot optimum trajectory Development using a hybrid reactive navigation model

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Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding

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Utility of the biofire filmarray pneumonia panel plus assay for syndromic testing of lower-respiratory tract infections in a low-middle-income setting by Van Der Westhuyzen, Mene

“…Conclusion: The FA-PP increased the number of positive samples with typical bacteria, but the semi-quantitative reporting algorithm does not describe the correlation between the different bin values and colonization versus infection. …”
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Using SetPSO to determine RNA secondary structure

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An Analysis of Overfitting in Particle Swarm Optimised Neural Networks

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