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 10 of 10 for “"Linear Dependencies"”.
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METHODS TO MINIMIZE LINEAR DEPENDENCIES IN TWO-DIMENSIONAL SCAN DESIGNS
… parallel to test the Circuit Under Test (CUT). Linear Finite State Machines (LFSMs) are often used as on-board Pseudo Random Pattern Generators (PRPGs) in two-dimensional scan designs. However, linear dependencies present in the LFSM generated test-bit sequences adversely affect the resultant …
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Modeling and Analysis of Non-Linear Dependencies using Copulas, with Applications to Machine Learning
… and child nodes, unlike the popular conditional linear Gaussian network model. Finally, we demonstrate on numerous synthetic datasets and a real life dataset that our HCBN compares favorably, from a modeling and flexibility viewpoint, to other hybrid models including the conditional linear …
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Analysing Dynamic Processes in Range Data Sequences
… indicating whether and to what degree there are linear dependencies in the data. Due to these dependencies the full parameter (range flow) set can usually not be computed at all observed data points. To overcome this a special regularisation scheme is developed that makes use of the determined …
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Mutual information derived functional connectivity of the electroencephalogram (EEG)
… the relationship between channels, and rely on linear dependencies. Here we utilize mutual information (MI) as the metric for determining nonlinear statistical dependencies between electroencephalographic (EEG) channels. Previous work investigating MI between EEG channels in subjects with …
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Short-Term Electricity Demand Prediction in Great Britain Using Machine Learning
… techniques effectively capture temporal and non-linear dependencies in addition to providing more accurate predictions and providing system operators with practical implications in a developing GB electricity generation system, considering the substantial amount of electrical generation due to …
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Unique cluster expansion for reliable first-principles prediction of alloy thermodynamics and phase diagrams
… arbitrarily selected subspace (by truncation), linear dependencies exist between cluster functions. The dependencies are overlooked in current methods, resulting in non-unique truncated CE sets that are extracted from an unnecessarily large number of first-principles data. In fact, the CE is …
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Optimizing Machine Learning Performance on Tabular Clinical Data: A Pipeline Approach
… features, often leading to intricate, non-linear dependencies that hinder traditional analysis and model efficacy. Confronting inherent issues like data scarcity, imbalance, noise, and sensitivity, this work introduces a comprehensive, adaptable machine learning pipeline engineered for …
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Pole tip recession in linear tape systems
The tribology of linear tape storage system including Linear Tape Open (LTO) and Travan5 was investigated by combining X-ray Photoelectron Spectroscopy (XPS), Auger Electron Spectroscopy (AES), Optical Microscopy and Atomic Force Microscopy (AFM) technologies. The purpose of this study was to …
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Integrated performance prediction and quality control in manufacturing systems
… paradigm (GSMMS), based on the use of local linear dynamic models. The concept of local models enables representation of complex, non-linear dependencies with non-Gaussian and non-stationary noise characteristics, using a locally tractable model representation. Localized modeling enables a VM …
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Computational analysis and method development for high throughput transcriptomics and transcriptional regulatory inference in plants
… the confined search space by only removing the linear dependencies from the shared neighbours, largely ignoring the genes showing lower association.</p><p class="MsoNormal"/><p class="MsoNormal">In future work, we will construct dynamic transcriptional and AS regulatory networks to interpret the …