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 12 of 12 for “"spatiotemporal models"”.
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Road Traffic Flow Prediction Using Aerial Imagery
… prediction. While current traffic prediction models are trained on ground-based data with limited features, we propose leveraging aerial traffic data to train spatiotemporal models with richer feature spaces. Our research makes contributions towards assembling a dataset from aerial footage and …
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Computational Models for the Automatic Learning and Recognition of Irish Sign Language
… framework for the classification and spotting of spatiotemporal gestures which appear in sign language. We propose a Gesture Threshold Hidden Markov Model (GT-HMM) to classify gestures and to identify movement epenthesis without the need for explicit epenthesis training. The third contribution is …
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Multiscale Spatial and Temporal Modelling of Fine Particulate Matter (PM2.5) from Wildfire Smoke Using Remote Sensing and Statistical Methods
… of atmospheric aerosol, and (3) atmospheric models. The objective of the present study was to identify models to accurately predict PM2.5 concentration over space and time. Spatiotemporal models were built to perform a comprehensive analysis of wildfire PM2.5 concentrations, for each recent …
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Short-term effects of wildfire on Sierra Nevada bighorn sheep habitat ecology
… resource selection functions that included spatiotemporal models of forage biomass and spatial models of predation risk by cougars (Puma concolor), the main predator of Sierra bighorn. In the first year post-wildfire, Sierra bighorn increased selection for new growth herbaceous biomass in …
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Short-term effects of wildfire on Sierra Nevada bighorn sheep habitat ecology
… resource selection functions that included spatiotemporal models of forage biomass and spatial models of predation risk by cougars (Puma concolor), the main predator of Sierra bighorn. In the first year post-wildfire, Sierra bighorn increased selection for new growth herbaceous biomass in …
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Reconstructing 3D ocean temperature fields from real-time satellite and buoy surface measurements
… Here, we present a framework to build improved spatiotemporal models that combine dynamics inferred from high-fidelity numerical models with measurements from sensors. Specifically, we are interested in ocean temperature which can serve as a useful indicator for ocean acidification, and we are …
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Spatial marked point processes: Models and inferences
… observed point. Nowadays, the availability of spatiotemporal data is increasing and many spatiotemporal models are studied with applications in a wide range of disciplines. Spatial marked point processes are then extended to spatiotemporal marked point processes if time component is taken into …
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Zooming in on human-wildlife coexistence: primate community responses in a shared agroforest landscape in Guinea-Bissau
… in Part 2 I combine camera trap based-Bayesian spatiotemporal models with interview data to investigate chimpanzee-human interactions at one focal site within the park (Caiquene–Cadique). Some primates showed high sensitivity to anthropogenic influences particularly king colobus (Colobus …
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Seeing by moving: revisiting pattern vision through fixational eye movements
… It calls for a shift from static to active, spatiotemporal models of pattern vision. To support this shift, it integrates computational modeling, psychophysics, and new experimental tools to explore how ocular drift influences edge and pattern perception. The first part of this thesis …
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Toward Robust and Generalizable Spatiotemporal Modeling for Tasks beyond Forecasting and Classification
In spatiotemporal data mining, building models that are robust and generalizable across complex, non-ideal conditions is crucial for real-world deployment. While many existing methods perform well on benchmark datasets, they often assume clean, stationary, and uniformly sampled data, limiting their …
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Mathematical modelling of the innate and adaptive immune response to solid tumours
In this thesis mathematical models describing the growth of a solid tumour in the presence of an immune response are presented. Specifically, attention is focused on the interactions between cytotoxic T-lymphocytes (CTLs) and tumour cells in a small, avascular multicellular tumour. At this stage of …