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Production scheduling of Aluminium Anodising plant
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Evolutionary deep learning
Published 2019“…We show that evolutionary algorithms can help tame this explosion of freedom, by developing an algorithm that robustly evolves near optimal deep neural network architectures and hyper-parameters across a wide range of image and sentiment classification problems. …”
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Towards Sustainable Freight Energy Management - Development of a Strategic Decision Support Tool
Published 2021“…Explained in short, the value of using the FTEMT to generate decision support is that it explores the decision space and reduces the number of decision alternatives that decision-makers need to consider to a manageable number of solutions, all of which represent harmonic measure combinations geared toward optimal performance in terms of the entire spectrum of the problem objectives. …”
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Analysis and synthesis algorithms for the electric screen Jauman electromagnetic wave absorber
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Batch sizing and scheduling on a volatile production line through the usage of linear optimisation
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Low-rank completion and recovery of correlation matrices
Published 2020“…In the pursuit of efficient methods of dimension reduction for multi-factor correlation systems and for sparsely populated and partially observed matrices, the problem of matrix completion within a low-rank framework is of particular significance. …”
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Strategies for the control of a satellite with thruster misalignment
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning
Published 2022“…For future work, the collection of more data points (results from detailed analytical studies on the impact of DG on MV feeders) to use as training data to solve the observed high variance problem is recommended. Also, modifying the model by adding upstream and downstream network features as inputs in the classification model to solve the high bias problem is recommended.…”
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Duality derived topological model of single phase four limb transformers for GIC and DC bias studies
Published 2018“…Saturated transformers pose problems for power system operators since they can cause harmonics, transformer heating, mal-operation of protection relays, generator heating and vibration, and consume a large reactive power that can cause voltage collapse. …”
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Verification of the bisubstrate concept in modelling of the activated sludge process
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DSP controlled three phase to single phase uninterruptible power supply
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A decision support system for scheduling the harvesting and wine making processes at a winery
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Organic farming : the way forward for sustainable agriculture in the Western Cape Province
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A meta-learning framework for link prediction algorithm selection based on network structure analysis
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Geomechanical Characteristics of Natural and Stabilised Black Cotton Soils from the Accra Plains of Ghana
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Multi-objective optimisation under deep uncertainty
Published 2018“…The general model for the strategic planning of sugar- bioethanol supply chains (SC) under deep uncertainty was formulated and also examined in a case study based on the South African Sugar Industry. This problem is formulated as a Scenario-Based Mixed-Integer Two-Stage Multi-Objective Optimisation problem and solved by utilising the Generalised Goal Programming Approach. …”
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Bounds on baskets option prices
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The bio-disposal of lignocellulose substances with activated sludge
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Digital Forensic Readiness in Mobile Device Management Systems
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