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 89 for “"predictive modelling"”.
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Predictive Modelling of Bone Ageing
… of separating the image processing from the age modelling is the best approach, since it off�ers flexibility and transparency, and produces accurate estimates.
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Predictive Modelling of CFRP-Steel Double Strap Joints
… strength. Despite the fact that some theoretical predictive modeling for the strength between steel/CFRP joints under various loading situations has been published, in this work, by using finite element modelling, one may compute the failure loads and effective length of the steel/CFRP specimens …
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Predictive Modelling Approach to Data-Driven Computational Preventive Medicine
This thesis contributes novel predictive modelling approaches to data-driven computational preventive medicine and offers an alternative framework to statistical analysis in preventive medicine research. In the early parts of this research, this thesis presents research by proposing a synergy of …
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Clinical Presence: Impact on Predictive Modelling and Algorithmic Fairness
… lessens the potential of observational data for predictive modelling. Particularly, clinical presence not only reflects medical expertise and patient deterioration but also socio-medical disparities deeply ingrained in healthcare practices. Failure to disentangle signal from bias in clinical …
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Predictive modelling of the form and development of bone fracture healing
It is the contention of this study that the rate and formation of bone healing can be modelled mathematically and computationally, respectively, based on mechanical stimuli induced by the relative motion between bone fragments. To argue this case, the following hypotheses are tested; 1) the …
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Bioinformatics and Machine Learning Approaches for Biomarker Discovery and Predictive Modelling
L'abstract è presente nell'allegato / the abstract is in the attachment
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Closed loop supply chain waste reduction through predictive modelling and process analysis
Verizon distributes Customer Premises Equipment (CPE) such as set top boxes, broadband routers, and WiFi extenders to Fios customers via a variety of paths; for example: direct ship to customer (either for self-install or for later installation by a field technician), delivery via field …
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Predictive modelling and coastal storm responsea study of urban and natural coastal systems
… the study of the application of numerical modelling to predict coastal storm behaviour in two sites with opposite characteristics: Urban and Natural systems. The chosen highly urbanised beach was the beach of Volano in the Emilia-Romagna region in Italy, while the considered natural coastal …
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Predictive Modelling of the Primary and Secondary Pharmacology of Compounds in Drug Discovery
… profiles using proteochemometric (PCM) modelling, a technique which uses both compound similarity and protein target similarity as input into machine learning models for the prediction of ligand-target interactions. We showed that employing a multi-target PCM model outperformed other …
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Facilitating golden mole conservation in South African highland grasslands : a predictive modelling approach
… This study employed species distribution modelling to predict the distributional ranges of these taxa, and involved four main processes: (i) creating initial models trained on sparse museum data records; (ii) ground-truthing field surveys during austral spring/summer to gather additional …
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Predictive modelling of external dose rate from radionuclide therapy patients following discharge from hospital
Background: Di erentiated thyroid carcinoma patients undergo thyroidectomy, followed by radiodine ablation in hypothyroid or euthyroid state. Several attempts were made to predict the external dose rate, however, there is a lack of accuracy in predictions from existing models of dose rate decay. …
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The Mind as a Predictive Modelling Engine: Generative Models, Structural Similarity, and Mental Representation
… and machine learning, and favourably contrast a predictive model-based theory of mental representation with other prominent accounts of the nature, importance, and functions of mental representations in cognitive science and philosophy.
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Polonium-210 in Freshwater Environments: Analytical Advances, Predictive Modelling, Food Web Transfer and Dose Assessment
… activity concentrations in surface waters, with predictive accuracies up to 76%. These results highlight the roles of local geology and water chemistry in driving radionuclide mobility and suggest that climate driven processes such as permafrost thaw and lake browning may further influence ²¹⁰Po …
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Predictive Modelling of the Growth of Nanoscale Silver Particles: Verification of an Aggregative Growth Mechanism
… process was tested through the development of a predictive growth model. In a series of test experiments, it is clearly shown that the aggregative growth model using colloidal interaction potentials accurately describes the growth process using values of the surface potential similar to those …
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A new approach to predictive modelling of flow of hydrophobically associating polyacrylamide polymers in porous media.
… active area of research. In this work, a novel predictive approach was developed for quantitative mapping of the various retention mechanisms and flow regimes connected with the transport of hydrophobic interactions in associative polymers. As a result, the methodology for this research work was …
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Data-driven Materials Informatics for Optoelectronics: From Natural Language Processing to Predictive Modelling of TADF Molecules
… language processing techniques and language modelling methods that were used throughout the thesis. Chapter 3 demonstrates a pipeline for the extraction of four organic TADF molecule property data from the literature, namely, maximum emission wavelength (𝜆EM ), photolu- minescence quantum …
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Nonlinear Dynamics, Stochastic Methods, And Predictive Modelling For Infectious Disease: Application To Public Health And Epidemic Forecasting
… data. The models considered are general dynamic predictive models with parameters that change over time, featuring time-varying regression coefficients or variance components. These models are capable of accommodating time-dependent covariates and can handle situations where information is …
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Can cied-derived physical activity provide as a biomarker to predict all-cause-mortality? validation of previous predictive modelling approaches.
… aim was to replicate and externally validate predictive models incorporating PA to evaluate their performance in predicting mortality. Methods: A retrospective longitudinal analysis was conducting using CIED-derived PA data in 513 cardiac patients to measure the prediction of …
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Experimental field studies and predictive modelling of PCB and PCDD/F levels in Australian farmed Southern Bluefin Tuna (Thunnus maccoyii).
… investigations and experimental validation of a predictive model that can be used to address the levels of residues in the fillets of farmed SBT at harvest from feeding (as the source) when applied to SBT aquaculture. An additional industry-focussed aim of this research was to determine if a …
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