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The development of an on-chip-metering solution
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A Novel Design-for-Test flow using LibreLane
Published 2026“…It investigates various strategies for ordering of a scan chain, comparing the current approaches of ordering a netlist, or a greedy closest-first algorithm, to the decades of work on optimizing the traveling salesman problem. …”
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Design development of brushless doubly fed machines
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Enhancing mobile camera pose estimation through the inclusion of sensors
Published 2015Get full text
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Automated learning rates in machine learning for dynamic mini-batch sub-sampled losses
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AI-based hybrid optimisation of multi-megawatt scale permanent magnet synchronous generators for offshore wind energy capture
Published 2020“…The initial stage (STAGE I) of the hybrid optimisation utilised the DE algorithm. The objective function was set to reduce the initial cost (!"…”
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Tττ-framework for the evaluation and improvement of phase behaviour description with the NRTL activity coefficient model
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An investigation into higher and partial moment portfolio selection frameworks
Published 2020“…It solves the endogeneity issue present in the co-semivariance matrices, through the usage of a direct multi-search algorithm. The two frameworks were tested across multiple datasets, including one of pure stocks and one of asset classes, to test the ability to both allocate assets and select stocks. …”
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Nonlinear heat transfer and thermo mechanical stress analysis using finite elements.
Published 2014“…Four, eight and nine noded isoparametric continuum finite elements with the option of the plane stress, plane strain and axisymetric cases are utilized. Nonlinear heat transfer due to temperature dependent thermal conductivity and/or internal heat generation is solved using an iterative method based on the Newton-Raphson algorithm. …”
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Distributed autonomous intersection management with neuro-evolution
Published 2022“…In particular we investigate three key hyper-parameters: Neuro-Evolution algorithm, task difficulty and problem exposure. A traffic simulator was developed and the hyper-parameters were used to evolve car controllers, which where then tested on unseen tasks. …”
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Project Leanness Score: A Machine Learning Approach
Published 2022“…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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Field D* pathfinding in weighted simplicial complexes
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Uterine balloon volume shifts using a free-flow uterine balloon in the management of refractory postpartum haemorrhage
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Mixed-Criticality Scheduling Using Reinforcement Learning
Published 2023“…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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Artificial neural networks and the cross-section of equity returns: identifying nonlinear opportunities on the Johannesburg Stock Exchange
Published 2026“…The activation function, training algorithm, learning rate, number of epochs, batch size, and loss function are kept constant across architectures. …”
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Optimisation study of geographical allocation of solar PV generation capacity for grid support
Published 2016Get full text
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Multi-objective optimisation of water distribution systems design using metaheuristics
Published 2011Get full text
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