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 8 of 8 for “"Spatio-Temporal Modeling"”.
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Human-Centric Spatio-temporal Modeling and Analysis for Multimedia Data
… artificial intelligence and deep learning, the spatio-temporal modeling and analysis of multimedia data have ascended to unprecedented importance. My dissertation navigates through the complexities of this domain, particularly emphasizing object analysis and behavior recognition. Here, the …
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Using Data Augmentation and Stochastic Differential Equations in Spatio Temporal Modeling
<p>One of the biggest challenges in spatiotemporal modeling is indeed how to manage the large amount of missing information. Data augmentation techniques are frequently used to infer about missing values, unobserved or latent processes, approximation of continuous time processes that are discretely …
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Spatio-temporal modeling of Louisiana land subsidence using high resolution geo-spatial data
… (Mardia et al. 1998). Results by KKF have shown spatio-temporal distributions of subsidence rates from 2011 to 2013, and these results have also been validated by the Bayou Corne Sinkhole knowledge in this research (Mardia et al. 1998; Cusanza 2013; Jones and Blom 2014; Jones and Blom 2015). …
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Multiscale spatio-temporal modeling of cell population in tissue architecture and drug delivery nanoparticles
… and computationally challenging. The multiscale modeling approach can bridge the gap between different scale by a systemic integration of the complex dynamic behavior.</p><p>Here, the focus is on developing multiscale modeling approaches to study the dynamic behavior of tissue. First, a …
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Dynamic Spatio-Temporal Graph Convolutional Networks
Spatio-temporal modeling is an essential lens to understand many real-world phenomena from traffic [20] [10] to epidemiology [12]. Although forecasting time series is an exceptionally well-studied problem, recent years have seen impressive gains in the performance of graph learning as a paradigm …
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Spatio-temporal data modeling with applications to weather and disease
… In such cases, it is beneficial to use spatio-temporal modeling to account for trends and the correlation of nearby observations. This thesis explores applications to spatio-temporal modeling. First, a method is developed to model the marginal distribution of spatial extreme values at a …
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Semantic and spatio-temporal understanding for computer vision driven worker safety inspection and risk analysis
… explores methods for automated semantic and spatio-temporal visual understanding of workers and equipment and how to use them to improve automatic safety inspections and risk analysis: (1) a new method is developed to improve the breadth and depth of vision-based safety compliance checking by …