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Development of a ray tracer for concentrating solar power systems
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Cooperative target following and collision avoidance for multiple unmanned aerial vehicles
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A heuristic approach to the deterministic and stochastic air crew pairing problem
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Energy Planning Model Design for Forecasting the Final Energy Consumption using Artificial Neural Networks
Published 2021“…Furthermore, in this thesis, we use the Bayesian optimization algorithm to search for the optimal network hyperparameters. …”
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Critical analysis of angle modulated particle swarm optimisers
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AI Stock-Screening Methodology for Portfolio Construction
Published 2021“…The developed model employed genetic algorithms to optimize the selection of screening rules from among a set of widely accepted fundamental indicators. …”
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A hyperheuristic approach towards the training of artificial neural networks
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On the maximum degree chromatic number of a graph
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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to pred...
Published 2025“…Poorer and better cognitive performance categories were identified with a hierarchical clustering algorithm. Regression performance was assessed via 10-fold CV errors, coefficient of determination (R2), and Pearson's r between predicted and actual values. …”
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Traffic Engineering using Multipath Routing Approaches
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The application of the cross-entropy method for multi-objective optimisation to combinatorial problems
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Correlation attacks on stream ciphers using convolutional codes
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Renal allograft biopsies at Groote Schuur Hospital: a histopathologic descriptive study with molecular insights
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A method of voltage tracking for power system applications
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A learning framework for zero-knowledge game playing agents
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