Discriminative and Bayesian techniques for hidden Markov model speech recognition systems

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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to pred... by Khobo, Isaac

“…PLMs, SVMs/SVR, and DTEs performed poorly for the regression problem; the predic-tive models led to small training and fitting errors but high generalised CV errors. …”
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Verhoging van laerskoolleerlinge se vlak van bewustheid van die distributiewe eienskap in rekenkunde by Vermeulen, Cornelis Franz

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Development of a methodology for artificial intelligence-based clustering of stow and pick operations in order to improve logistics performance in small and medium-sized enterprise... by Schroth, Timo Friedrich

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Universiteitstudente se begryping van basiese begrippe in elementere differensiaal- en integraalrekening by Bezuidenhout, J. G. H

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Experiences of Physical Sciences teachers when introduced to an electronic expert system

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Development of a wayside monitoring system for rail wheel defect detection using thermography and dynamic measurements by Lubbe, Enrico

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A deep learning approach to landmark detection in tsetse fly wing images by Geldenhuys, Dylan Shane

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A framework for estimating risk by Kroon, Rodney Stephen

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

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Multi-dimensional direct-sequence spread spectrum multiple-access communication with adaptive channel coding

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Robust parameter estimation of finite mixture models with self-paced learning

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Efficient Mixed-Order Hidden Markov Model Inference by Schwardt, Ludwig

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Efficient high-order hidden Markov modelling by Du Preez, Johan Adam

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A computer aided machining system for the manufacture of three-dimensional surfaces by Back, David Reuben

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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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An Analysis of Overfitting in Particle Swarm Optimised Neural Networks

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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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Dataset selection for aggregate model implementation in predictive data mining

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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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