An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction by Du Toit, Philip C.

Get full text

A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback by Abo El Ela, Yousef Salah

Get full text
Get full text
Get full text

Spoken language modeling with discrete units by Visser, Nicolaas Floris

Get full text

Improving and implementing advanced milling techniques for the manufacture of selected titanium aerospace parts by De Bruyn, Ruan

Get full text

Neural networks in control engineering by Trossbach, W

“…Consequently, attempts at exploiting the attractive learning and nonlinear optimization characteristics of neural networks have been made in most fields of science and engineering, including process control. …”
Get full text

Bayesian inference of lower percentiles within strength modeling

Get full text

Computer-controlled human body coordination by Hakl, Henry

Get full text

The impact of ozone demand on the required dosage in dielectric barrier discharge plasma-ozonation systems : investigation into a simulated surface water

Get full text
Get full text
Get full text

Assessing the discoverability of variant proteins causing rare forms of paediatric diabetes using proteogenomics by Naidoo, Lorensha

Get full text

Grain regression analysis by Sullwald, Wichard

Get full text

Green Roofs for Grey Water Treatment – Comparative Study of Economic and Environmental Impacts by Attia, Shaden S

Get full text
Get full text

Re-engaging Driver Attention using ChatGPT: A Multimodal Study on Stress Impact and Driving Performance by Elfiqi, Alaa Zaki

Get full text
Get full text
Get full text

Implementation of Hadamard Encoding and Reconstruction of MEGA-Edited Spectroscopy (HERMES) for quantification of ɣ-aminobutyric acid (GABA) and glutathione (GSH) by Rimbault, Daniel

Get full text

Digital Audio Restoration of Gramophone Records

Get full text

Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…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. …”
Get full text

Reducing the total cost of ownership of mining haul trucks by Riley, Lennard Barry

Get full text

The experimental and numerical investigation of the influence of shaft rotation on leakage rate of non-contacting seals found in turbine applications

Get full text

Neural disturbance rejection for a multirotor by Kotze, Henry

Get full text

Breaking the norm : approaches for symmetric, positive, and skewed data

Get full text

A brief analysis of certain numerical methods used to solve stochastic differential equations

Get full text
Get full text