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 “"Uncertainty modelling"”.
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Contributions to spatial uncertainty modelling in GIS : small sample data
… practise (fuzziness and small datasets) leads to uncertainty, which is addressed by my research objective: "To model spatial environmental data with .fuzzy uncertainty, and to explore the use of small sample data in spatial modelling predictions, within Geographic Information System (GIS)." The …
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Comparison of deterministic, stochastic and fuzzy logic uncertainty modelling for capacity extension projects of DI/WFI pharmaceutical plant utilities with variable/dynamic demand
… stochastic methods as the traditional method of modelling uncertainty. But the circumstances under which FL or stochastic methods should be used are shrouded in disagreement, because the areas of application of statistical and FL methods are overlapping with differences in opinion as to when …
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Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks
… are adopted to continuously learn the degree of uncertainty which decreases the cost of robustness and maintains the prediction gains. Different variants for the robust framework are proposed such as energy-minimization and predictive adaptive streaming under erroneous prediction of channel rate, …
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On the spatial modelling of mixed and constrained geospatial data
Spatial uncertainty modelling and prediction of a set of regionalized dependent variables from various sample spaces (e.g. continuous and categorical) is a common challenge for geoscience modellers and many geoscience applications such as evaluation of mineral resources, characterization of oil …
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Deep learning for land cover and land use classification
… using rule-based decision fusion or through uncertainty modelling using rough set theory. For land use, an object-based CNN method was proposed, in which each segmented object (a group of homogeneous pixels) was sampled and predicted by CNN with both within-object and between-object …
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Operationalisation of FT-NIRS based real-time monitoring for optimisation of anaerobic digestion
… study utilised a decomposition modelling approach, extending the range of calibrations using a 'Whole of System' (WoS) approach (input-output). Principal Component Analysis (PCA) models and Partial Least Squares regressions (PLS-R), using matched FT-NIRS and matched …
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Distribution Network Operation with High Penetration of Renewable Energy Sources
… terms of the maximization of SW considering the uncertainty related to solar irradiance, wind speed and load demands. Finally, a realistic case study (16-bus UK generic medium voltage distribution system) is used to demonstrate the effectiveness of the proposed method. Results show that ANM …
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Planning and Operation of Multi-Vector Energy System with High Penetration of Renewable Energy Sources
… resources which will result in variability and uncertainty in electricity supply. The power-to-gas (P2G) technologies, gas-fired units (GFUs) and demand response programs (DRPs) potentials are practical solutions to overcome these challenges and if exploited it will provide some level of …