Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks by Sobhy, Mostafa Ahmed

“…Concurrently, the failure classification module identifies ten distinct failure types with F1 scores exceeding 0.95, utilizing a suite of complementary algorithms. The datasets were cleaned and preprocessed to address missing values, inconsistencies, and other data quality issues. …”
Get full text
Get full text

Dynamics and Energy Management of Electric Vehicles by Van Schalkwyk, Daniel Jacobus

Get full text

Noncooperative Game-Theoretic Planning for Autonomous Driving under Imperfect Information: A Quasi-Perfect Equilibrium Approach by Mogahed, Ahmed

“…The framework’s path planner generates equilibrium waypoints by formulating the problem in sequence form as a linear complementarity problem and solving it via Lemke’s algorithm. Then, a path manager generates geometrically optimal trajectories respecting the vehicle's minimum turning radius using Dubins path optimization. …”
Get full text
Get full text

Introduction to fast Super-Paramagnetic Clustering by Yelibi, Lionel

“…We map stock market interactions to spin models to recover their hierarchical structure using a simulated annealing based Super-Paramagnetic Clustering (SPC) algorithm. This is directly compared to a modified implementation of a maximum likelihood approach to fast-Super-Paramagnetic Clustering (f-SPC). …”
Get full text

Adaptive and autonomous protocol for spectrum identification and coordination in ad hoc cognitive radio network by Ohize, Henry Ohiani

“…Simulation results revealed ACS as a feasible solution for optimal dynamic control channel selection. Finally, a new channel hopping algorithm for the selection of a control channel in CRAHN was presented. …”
Get full text

Partitioned particle filtering for target tracking in video sequences by Louw, Markus Smuts

“…Two hundred basic particles were used per partition, with an additional one hundred augmented particles per partition, for the scan phase. The algorithm does not run in real-time, although with optimization this is a possibility.…”
Get full text

Optimisation of complex simulation models by Bezuidenhoudt,Cecile Margaret

“…Computer simulation models are widely and frequently used to model real systems to predict output responses under specified input conditions. Choosing optimal simulation parameters leads to improved operation of the model but it is still a challenge as to how to go about optimally selecting these parameter values. …”
Get full text

A model-based deep learning approach to spectrum management in distributed cognitive radio networks

Get full text

Digital soil mapping techniques across multiple landscape scales in South Africa by Trevan, Flynn

Get full text

Single queue priority scheduler for video transmission in IEEE 802.11 networks by Adeleke, Joshua Adejare

Get full text

Valuing American Asian Options with Least Squares Monte Carlo and Low Discrepancy Sequences

Get full text

Anti-lock braking system performance on rough terrain

Get full text

Parallelising inference on cluster graphs by Verburgh, Cornel

Get full text

Analytical modelling and design optimisation of the Eddy Current Slip Coupler by Erasmus, Abraham Stephanus

Get full text

Development and testing of a laboratory digital controller by Closel, Andre Gerard

“…Finally a brief study was made of the other possibilities of the controller and its algorithms.…”
Get full text

Control of CO2 vibrational dynamics via shaped-pulse coherent anti-Stokes Raman spectroscopy by Hendriks, Adriaan Jacobus

Get full text

Low-rank completion and recovery of correlation matrices by Ramlall, Chetan K

“…In almost all instances, the method of convex relaxation performed better than spectral methods and achieved the closest and best-fitted low-rank approximations to the true, optimal low-rank matrices (for some rank-n). Furthermore, a dependence was found to exist on which correlation pairs were used as inputs, with the accuracy of the approximations being, in general, directly proportional to the number of input correlations provided to the algorithms.…”
Get full text

Enhanced LSMC for Valuation of Options by Mekawy, Amr

“…Among these instruments are Options, which regardless of their complexity, can be an extremely versatile tool to be utilized across a wide range of different markets. …”
Get full text
Get full text
Get full text
Get full text

Aggregated service consolidation by multi-server virtualization by Nkubito, Phillip Uwizeye

Get full text

Disaggregating employment data to building level : a multi-objective optimisation approach

Get full text