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 18 of 18 for “"Complex data structures"”.
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Local Smoothing Methods for the Analysis of Multivariate Complex Data Structures
… the restriction of modelling only functional data is abandoned and a new approach to calculate principal curves, i.e. smooth curves which pass through the ``middle'' of a multidimensional, possibly multiply branched, data cloud, is developed.
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Genomic Association Screening Methodology for High-Dimensional and Complex Data Structures: Detecting n-Order Interactions
We developed a data-mining method, Model-Based Multifactor Dimensionality Reduction (MB-MDR) to detect epistatic interactions for different types of traits. MB-MDR enables the fast identification of gene-gene interactions among 1000nds of SNPs, without the need to make restrictive assumptions about …
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Design of Deryaft : a novel framework for generating representation invariants of structurally complex data
… for generating likely structural invariants of complex data structures. Generating likely invariants using dynamic analyses is becoming an increasingly effective technique in software checking methodologies. Given a small set of concrete structures, our approach analyzes their key …
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robustraster - A Python Software Package To Lower the Barrier of Entry for Large-Scale Geospatial Analysis
… witnessed a substantial increase in geospatial data availability and size, predominantly derived from automated high-resolution remote sensing instruments. As our capacity to generate geospatial data continues to expand, we confront challenges in effectively analyzing these datasets due to their …
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Modeling Recursion with Iteration: Enabling LLVM Loop Optimizations for Recursive Data Structure Traversal
… are a natural and expressive way to traverse complex data structures, but they often miss opportunities for optimization in modern compiler infrastructures like LLVM. This thesis explores a novel technique that temporarily transforms recursive traversals into synthetic loop-like structures, …
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How fast can ASN.1 encoding rules go?
The tasks of encoding and decoding complex data structures for network transmission are more expensive in terms of processor time and memory usage than any other components of the protocol stack. This problem can be partially addressed by simplifying the network data encoding rules and streamlining …
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Modelling sea surface temperature using generalized additive models for location scale and shape by boosting with autocorrelation
… earth. Modelling of and prediction from the SST data are challenging due to the fact that gaps in the data lead to incomplete information over time. Generalized additive models by boosting with location scale and shape (gamboostLSS) can be applied to overcome this problem. Moreover, they also …
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Especificación orientada a objetos de sistemas de cálculo simbólico
… programs obtain homology and homotopy groups of complex topological spaces, such as iterated loop spaces. These systems have provided groups that had never been obtained before by any other theoretical or mechanical method. From a computational point of view, these systems present the …
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Efficient Architectures for Retrieving Mixed Data with Rest Architecture Style and HTML5 Support
… small images. But more recent services involve complex data structures including text, images, audio, and video. The task of optimizing data to provide delivery of these structures is a complex one, involving both theoretical and practical aspects. In this thesis work, I have considered two …
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Visual Analytic Extraction of Meaning from Photo-Sharing Services for Leisure Pedestrian Routing
… role in route selection. Conventional map data that are informing routing algorithms cannot be used for extracting street attractiveness as they do not contain a subjective component, or in other words, do not tell whether or not people enjoy their presence at a particular place. Recent …
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Automatically Optimizing Tree Traversal Algorithms
<p>Many domains in computer science, from data-mining to graphics to computational astrophysics, focus heavily on irregular applications. In contrast to regular applications, which operate over dense matrices and arrays, irregular programs manipulate and traverse complex data structures like trees …
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Visualising categorical data: Linguistic case studies from te Reo Māori and New Zealand English
Categorical variables are prevalent in real-world datasets across numerous domains, yet few visualisation techniques accommodate them effectively. This is especially true of datasets comprising three or more categorical variables, termed multivariate categorical data. Visualising such data is …
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A mesh architecture for data management of matrix computations.
… This limitation is addressed by the Matrix Data Management Layer (MDML), described in this thesis. The MDML doesnt share the coprocessor-based architecture of earlier systems. Growing transistor budgets have made it feasible to embed general purpose Commercial Off-The-Shelf (COTS) processors …
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Time-to-Event Prediction Using Deep Learning Models: Application to GPU Failure Data
… in recent years due to their ability to identify complex patterns. In the field of reliability research, efforts are made to develop neural network models for predictive reliability. However, research focused on utilizing neural networks to forecast graphics processing unit (GPU) failures remains …
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An object-oriented library for shared-memory parallel simulations
… Problems include false sharing (unrelated data in a cache block, resulting in coherence misses), inadequate blocking (processing data as often as possible before it moves out of the cache) and poor exploitation of prefetch (fetching data before it is needed). This research addresses the …
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Statistical Inferences for Two-Component Semiparametric Location-Scale Mixture Models
… genomics, economics, and social sciences, where data often arises from a combination of distinct subpopulations. Among the various mixture models, the two-component location-scale mixture model is of special interest due to its simplicity and flexibility in modeling diverse data structures. …
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Characterising the potential health risks associated with coal dust
… 1 developed a detailed particle characterisation dataset on coal particle samples utilising both routine (X-ray diffraction and X-ray fluorescence) and advanced methods of coal analysis (automated scanning electron microscopy systems). Objective 2 elucidated multivariant relationships between the …
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Exploration and development of crash modification factors and functions for single and multiple treatments
… to derive CMFs since it is easier to collect the data compared to before-after methods. Although various CMFs have been calculated and introduced in the HSM, still there are critical limitations that are required to be investigated. First, the HSM provides various CMFs for single treatments, but …