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Aggregated service consolidation by multi-server virtualization
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Roadmakers pavage, pulse reformation framework and image segmentation in the discrete pulse transform
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Motion planning for an autonomous terrestrial ehicle in static environments
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A Cooperative Prediction Based Approach to Spectrum Management in Cognitive Radio Networks
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Geometric acceleration of complex chemical equilibrium calculations for inclusion in multiphysics and process models
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Parameter learning with particle filters
Published 2021“…This dissertation aims to test the effectiveness of a possible algorithm which can be used in optimally identifying such times. …”
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Pellet-size estimation of a ferrochrome pelletizer circuit using Computer Vision techniques
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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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Large-Scale clustering of acoustic segments for sub-word acoustic modelling
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The impact of behavioural diversity in the evolution of multi-agent systems robust to dynamic environments
Published 2024“…Thus, we introduce a comparative study of behavioural diversity maintenance methods (based on the MAP-Elites algorithm) versus those without behavioural diversity mechanisms (based on the steady-state genetic algorithm), as a means to evolve suitable degrees of behavioural diversity over increasingly difficult collective behaviour tasks. …”
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Minimum connecter of pipelines from Tema/Takoradi to all the regional capitals of Ghana
Published 2012Get full text
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Functional quantization-based stratified sampling
Published 2018“…We show that product quantizers are a suitable approximation of an optimal quantizer for the formation of functional quantizers. …”
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Production scheduling of Aluminium Anodising plant
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An efficient congestion control scheme for a lightweight constrained application protocol in the Internet of Things
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Detecting informal settlements from high resolution imagery using an object-based image approach
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Correlation and distribution analyses of estimated fractal dimensions and husrt's exponent from waveforms of excited non linear pendulum
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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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A computer-based product classification and component detection for demanufacturing processes
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Radar-Based Multi-Target Classification Using Deep Learning
Published 2023“…To achieve these objectives, radar data was collected using a C-band pulse-Doppler radar and converted to spectrograms using the Short-time Fourier transform (STFT) algorithm. Spectrograms of the following classes were utilised in classification: one human walking, two humans walking, one human running, moving vehicles, a swinging sphere and clutter/noise. …”
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