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.
Results
Showing 1 to 20 of 332 for “"Spatial temporal"”.
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Spatial-temporal Source Reconstruction for Magnetoencephalography
… several superior properties, including a high-temporal resolution with no interference from the bone or the head-like fluid to the signal spatial transformation. In this thesis, we aim to develop a framework for MEG spatial-temporal current course reconstruction by introducing classical methods …
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Spatial-Temporal Data Modeling with Graph Neural Networks
Spatial-temporal graph modeling is an important task to analyze the spatial relations and temporal trends of components in a system. It aims to model the dynamic node-level inputs by assuming inter-dependency between connected nodes. A basic assumption behind spatial-temporal graph modeling is that …
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Spatial-temporal neighborhood-scale urban water demand estimation
… system data to estimate demand at coarser spatial and temporal resolutions for a specific system. The objective of this research, in contrast, is to develop a method to estimate water demand at high spatial (e.g., neighborhood-scale) and temporal (e.g., one-hour) resolutions for any …
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Spatial -Temporal Multiuser Receivers for Cdma-Based Communications
… this work, we first provide a tutorial to basic temporal CDMA receiver designs. Improved temporal interference cancellation techniques are then developed using a direct measure of bit estimate reliability in the cancellation stage. We then investigate several techniques for integrating multiple …
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Auditory Stimulation and Its Effect on Spatial Temporal Ability
<p>This thesis was designed to detect the type of spatial ability most effected by auditory stimulation, as described in the Mozart effect. Previous research has shown enhancement of performance on the paper-folding and cutting subtest of the Stanford-Binet Intelligence Scale IV with failures to …
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Spatial-Temporal Regulation of the Atonal Homolog 1 Gene
Controlled spatio-temporal expression of atonal homolog 1 is necessary for the correct development of the cerebellar granule cells, the dorsal interneuron 1 population, gut goblet cells and the cochlear and vestibular hair cells of mice. The purpose of these studies was to determine how atonal …
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Content based video retrieval via spatial-temporal information discovery.
… and access. The framework, however, ignores spatial and temporal information contained in videos, which plays a fundamental role in unveiling semantic meanings. The information includes not only the spatial layout of visual content on a still frame (image), but also temporal changes across …
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Time Reparametrization Symmetry and Spatial-Temporal Fluctuations in Glasses
<p>In this dissertation we focus on the dynamics of glasses and other complex systems. Dynamical heterogeneity, initially proposed to explain non exponential relaxation, has been found in simulations and experiments of glassy systems. The origin of dynamical heterogeneity remains poorly understood, …
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Dynamics of stochastic spatial-temporal patterns in transitional turbulence
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01
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Machine learning models on geographic spatial-temporal data predictions
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
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Spatial-temporal patterns in evolutionary ecology and fluid turbulence
… both highly non-equilibrium and exhibit spatio-temporal complexity during the course of their evolution. It might seem that they are too complicated to extract universal properties, even if there are any. Surprisingly, it turns out that each of them can shed light on the other, enabling them …
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Spatial-temporal data modelling and processing for personalised decision support
… of dynamic data without losing any of the temporal relationships, and to be able to predict likelihood of outcome as far in advance of actual occurrence as possible. To this end a novel computational architecture for personalised ( individualised) modelling of spatio-temporal data based on …
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Exploring link, text and spatial-temporal data in social media
… heterogenous data types including link, text and spatial-temporal information, which poses many interesting and challenging tasks for data mining. Link is the representation of the relationships in social networking sites. Text data includes user profiles, status updates, posted articles, social …
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Predictive modeling of spatial-temporal data: A graph-centric approach
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Spatial, temporal and dendrochronological comparisons of mercury in Ontario deciduous trees
… corresponded to regional atmospheric [Hg]. Microspatial trends in leaf [Hg], such as position on a branch, may increase variability. Tree cores from contami- nated and reference sites in the Kingston area showed that although dendrochronological techniques are not appropriate for estimating …
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Semantics orientated spatial temporal data mining for water resource decision support
… common) and whether the conditions are changing spatially or temporally for a proper management plan. This thesis aims to automatically detect spatiotemporal common and rare patterns by significantly addressing the uncertainty and heterogeneity in water quality data, in order to enhance the …
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An Analysis of netCDF-FastBit Integration and Primitive Spatial-Temporal Operations
… and FastBit index creation is presented and a geospatial Range and pseudo-KNN search based on the haversine function is implemented via SQL. A two step filtering algorithm is shown to greatly enhance the speed of these geospatial queries, allowing for extremely efficient processing of the netCDF …
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Safety Analyses At Signalized Intersections Considering Spatial, Temporal And Site Correlation
… to crashes, this dissertation investigated the temporal, spatial, and site correlations for total, rear-end, right-angle and left-turn crashes. Using the basic regression model for correlated crash data leads to invalid statistical inference, due to incorrect test statistics and standard errors …
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