Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"algorithm evaluation"”.
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Improving Results of Differential Evolution Algorithm
… cases, engineers and researchers have to rely on algorithms and techniques that can find sub-optimal solutions to these problems. One of the most dependable algorithms for numerical optimisation problems is Differential Evolution (DE). Since its introduction in the mid 1990’s, DE has been on the …
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Noise reduction algorithms and performance metrics for improving speech reception in noise by cochlear-implant users
This thesis addresses the design and evaluation of algorithms to improve speech reception for cochlear-implant (CI) users in adverse listening environments. We develop and assess performance metrics for use in the algorithm design process; such metrics make algorithm evaluation efficient, …
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Extended many-facet Rasch models: Accounting for rater effects in automated essay scoring systems
… capturing rater severity and novel estimation algorithm: • Novel extended MFRM forms capable of identifying and accounting for a range of non-uniform rater behaviours. • A novel Rasch estimation algorithm which builds on previous non-iterative conditional approaches to Rasch parameter …
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Motion Artifact Processing Techniques for Physiological Signals
… techniques is proposed, designed and tested for algorithm evaluation. The method is demonstrated to be highly e�ective for the type of artifact challenges common in a connected health setting, particularly those concerned with brain activity monitoring. This research primarily focuses on applying …
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A tempo-based music search engine with multimodal query
… searches for music by tempo. Our preliminary evaluation results indicate that multimodal inputs of TMSE enable users to formulate tempo related queries more easily in comparison with existing music search engines.
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Optimal Clustering: Genetic Constrained K-Means and Linear Programming Algorithms
… dissertation, we propose two constrained k-means algorithms: Linear Programming Algorithm (LPA) and Genetic Constrained K-means Algorithm (GCKA). Linear Programming Algorithm modifies the k-means algorithm into a linear programming problem with constraints requiring that each cluster have m or …