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Correlation attacks on stream ciphers using convolutional codes
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Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks
Published 2025“…DIgSILENT PowerFactory power system simulation software is used to verify the accuracy of the algorithm. …”
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Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks
Published 2025“…DIgSILENT PowerFactory power system simulation software is used to verify the accuracy of the algorithm. …”
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A framework to apply water footprinting for sustainable agricultural water management : a case study on the Steenkoppies Aquifer
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The financial implications of specific citrus production practices in the Boland
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Modelling of defect states in covalent amorphous solids
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Numerical (FEA) evaluation of crane end buffer impact forces
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MURAC: A unified machine model for heterogeneous computers
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Accelerating radio transient detection using the Bispectrum algorithm and GPGPU
Published 2016“…In this thesis, we present a number of modified implementations of the bispectrum algorithm, allowing both instruction-level and data-level parallelism. Firstly, a multi-threaded CPU version is developed in C++ using OpenMP and then compared to a GPU version developed using Compute Unified Device Architecture (CUDA).In order to verify validity of the implementations presented, the implementations were firstly run on simulated data created from MeqTrees: a tool for simulating transients developed by the SKA. …”
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An experimental investigation into the anisotropic behaviour of bovine femoral cortical bone
Published 2017“…To increase our level of knowledge of the human body for various applications, the behaviour of cortical bone needs to be understood. …”
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Energy-efficient MAC protocol for wireless sensor networks
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Impermeable recurve seawalls to reduce wave overtopping
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Short-term wind power forecasting using artificial neural networks-based ensemble model
Published 2022“…The advantages of input features, model parameters, and spatial correlation and ensemble techniques were combined to form an ANN-based ensemble model to further enhance the forecasting performance from an individual ANN model. The simulation results show that all the available meteorological variables have different levels of impact on forecasting performance. …”
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Achieving baseline states in sparsely connected spiking-neural networks: stochastic and dynamic approaches in mathematical neuroscience
Published 2016“…At the expense of cellular-level complexity, they are a frame-work in which we can gain a clearer understanding of network-level dynamics. …”
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Acid resistance of sewer pipe concrete
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A framework for fine-grain synthesis optimization of operational amplifiers
Published 2015“…This thesis presents a cell-level framework for Operational Amplifiers Synthesis (OASYN) coupling both circuit design and layout. …”
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