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 11 of 11 for “"Temporal dependency"”.
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Application of bootstrap resampling in fMRI
… the bootstrap resampling technique considering temporal dependency in the fMRI data to determine the reliability and confidence interval of fMRI parameters. Traditionally, the test-retest method has been used to reliably detect active voxels in the fMRI image of the brain, which is based on …
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Manifold Learning From Time Series
… data clearly demonstrates that by taking temporal dependency among global coordinates into consideration our proposed algorithm achieves superior learning results than other manifold learning algorithms that treat samples in the training data set as independent, identical, distributed …
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A Bayesian approach to discovery of latent dependency in point-referenced data
… understanding and explanation for the latent dependency in the real-world point-referenced data. This dissertation begins with a statistical model accounting for collective animal movement. The model highlights how to incorporate the ecological perspective into the hierarchical modeling …
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Exploring Personalized Route Recommendation Based on Travel Behaviors of Historical GPS Trajectories
… Walk with Restart technique. Furthermore, the temporal dependency of travel behaviors is considered by constructing a time difference interval histogram. A behavior graph is generated to allow the maximum probability route computation with the shortest path algorithm, resulting in the most …
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Tartaglia, Zigzag et Flips : les particules denses à haut Reynolds
… particle provides lateral forces with complex temporal dependency. This induces zigzag trajectories which are occasionally observed in volley, soccer and baseball. We inspect the condition of occurrence of this phenomenon. Then, the case of non spherical balls are considered. Such balls are …
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Analysis of Machine Learning Algorithms for Time Series Prediction
… the algorithm's ability to deal with sequential dependency. The performance of the ANN and SVR were similar for datasets with trend and seasonality, while the LSTM overall proved superior to the aforementioned algorithms. The LSTM outperformed the ANN and SVR due to its ability to handle temporal …
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Methods and applications for space-time data
Spatial and spatio-temporal data are presented in a variety of forms and require a unique set of techniques to analyze. The goal of such analyses is often to estimate the spatial and/or temporal dependency structures of the underlying random field. This estimation in turn can then be used to make …
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Efficiency in Cluster Database Systems - Dynamic and Workload-Aware Scaling and Allocation
… model for workload generation that considers the temporal dependency of user interaction.
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SOIL MOISTURE VARIABILITY: IMPLICATIONS FOR THE HYDROLOGY, EROSION AND MANAGEMENT OF GULLIED CATCHMENTS IN CENTRAL SPAIN
… and hydrological properties, the spatial and temporal measurement of soil moisture may be used to identify contrasting areas of hydrological response. In a badlands environment located approximately 70 km north of Madrid, central Spain, an experiment was established to describe the temporal …
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Deep learning for image restoration and enhancement
… multiple low-resolution (LR) frames in a local temporal window. The inter-frame temporal relation is as crucial as the intra-frame spatial relation for tackling this problem. We design deep networks for utilizing the temporal relation from two aspects. First, we propose a temporal adaptive …
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Electric vehicules cyber-attack detection
… where the sequential model could capture the temporal dependencies of LSTM and GRU models. The thesis also examined implications of using ML/DL hybrids for intrusions detection and discussed several main principles to consider in the context of specificity in modeling, the value of a realistic …