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Steel fibre-reinforced concrete: multi-scale characterisation towards numerical modelling
Published 2017Get full text
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Load management of electric water heaters in a smart grid through forecasting and intelligent centralised control
Published 2018Get full text
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Numerical investigation into the effects of multiple bubbles in microchannel flow boiling
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A granular flow model of an annular shear cell
Published 2016“…The effect of two friction coefficients over a range of shearing wall velocities were examined in the DEM simulations. The data were examined over 3 selected radial lines and utilised to calculate the shear stress distribution and the power dissipation from the developed models. …”
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Anomalous Reflection from Phase Gradient Metasurfaces for Arbitrary Incident Angles
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Development of a wake and backwater prediction approach for hydrokinetic turbines
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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model
Published 2025“…The three ML models developed were based on domain knowledge of fire behaviour and utilised Google Earth Engine(GEE) weather data and Sentinel Hub burned scars satellite data to train a logistic method for simulating fire burn maps. …”
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Optimal placement and power allocation for jammers in wireless mesh networks
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Experimental investigation and statistical analysis of pulp vacuum dewatering
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Design and development of a beam down reflector
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Argumentation in doctor-patient consultations in EkeGusii: A pragma-dialectical approach
Published 2018Get full text
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Nonlinear high-frequency circuit-electromagnetic hybrid modelling of photovoltaic module
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Towards using the light falling weight deflectometer as a construction control device
Published 2016Get full text
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A technical and economical evaluation of RP technology for RTM tooling
Published 2010Get full text
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Evaluation of the methacrylamide/ N’N,-methylenebisacrylamide binder system for gel-casting of titanium powder
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Developments in anaerobic digestion modelling
Published 2020“…Due to the complexity of the physical, biological and aqueous interactions, many model simulations were needed to identify the important parameters with the lasso (least absolute shrinkage and selection operator) feature selection method. …”
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