On improving the performance of the Gauss-Newton filter by Nadjiasngar, Roaldje

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Localization of Bryde's whales using time difference of arrival principles by Cormick, Joshua

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Incorporating sensor measurements using data assimilation and machine learning to improve the accuracy of thermal finite element models

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Development of a hybrid power management unit for mobile applications: solar energy case study by Abdelmoaty, Ahmed

“…In addition, a new MPPT algorithm is proposed to provide fast and accurate tracking. …”
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An Analysis of Overfitting in Particle Swarm Optimised Neural Networks

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A Computational Intelligence Approach to Clustering of Temporal Data

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Forecasting and Optimization in Modern Cosmology by Kotze, Jacques

“…We introduce a new optimization algorithm which signi cantly outperforms all standard algorithms, especially in higher dimensions where the improvement is remarkable. …”
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Anomaly detection with data quality early warning systems in ATLAS by Msutwana, Senzo

“…We do so by observing and quantifying the evolution of Luminosity-Block (LB) data from Inner Detector (ID) tracking information, with a single LB towards the beginning of a run used as the reference. …”
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A computer vision framework towards automated scene understanding & analysis by Sarah-lee de Greeff

“…The framework facilitates hyperparameter tuning to determine the best parameters for each model being trained. The best-performing model, RTDeTR, is then utilised to detect and track appliances of interest, providing information regarding the number of appliances present. …”
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Particle swarm optimisation in dynamically changing environments - an empirical study

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

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Developing a data mining classification model to predict the academic performance of students in Public Basic Schools in Ghana using socio-economic variables. a case study of sel... by Sarpong, Alexander

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Design and Implementation of Electromagnetic Actuation System to Actuate Micro/NanoRobots in Viscous Environment by Abdelaziz, Mostafa

“…The closed-loop control algorithm is developed to facilitate MNR trajectory tracking and minimize the error accordingly. …”
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Robust parameter estimation of finite mixture models with self-paced learning

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Dataset selection for aggregate model implementation in predictive data mining

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Enhancing mobile camera pose estimation through the inclusion of sensors by Hughes, Lloyd Haydn

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Bird song recognition with hidden Markov models by Van der Merwe, Hugo Jacobus

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Navigating the Rules: Integrating TD3 and Sensor Fusion for Traffic-Aware Autonomous Vehicle Path Planning by Elsayed, Mahmoud Ayman Mohamed

“…The study utilizes the CARLA simulator, and real-world datasets, including KITTI and WAYMO, to train and evaluate the proposed algorithm. The proposed algorithm leverages the complementary strengths of Imitation Learning (IL) and Deep Reinforcement Learning (DRL) techniques, IL utilizes human driving data to provide the DRL agent with a foundation for safe and rule-abiding behavior, while the DRL agent refines its decision-making capabilities through real-time interaction with the environment. …”
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Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics

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