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 14 of 14 for “"Dynamic prediction"”.
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Dynamic Prediction of Disease Progression With Longitudinal Data
<p>Dynamic prediction plays a pivotal role in clinical research, especially when forecasting time-to-event outcomes based on evolving longitudinal data. This process often leverages the integration of longitudinal and time-to-event data through joint modeling, a prevalent technique. Alongside joint …
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Dynamic prediction of terminal-area severe convective weather penetration
… this effect. In this thesis, we formulate semi-dynamic models and employ Multinomial Logistic Regression, Classification and Regression Trees (CART), and Random Forests to accurately predict the severity of convective weather penetration by flights in several U.S. airport terminal areas. Our …
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Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing
… ways to address the rebalancing issue: static, dynamic and incentivized. The incentivized approaches make use of the users in the balancing efforts, in which the operating company incentives them to change their destination in favor of keeping the system balanced. The other two approaches: …
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Application of dynamic prediction models for longitudinal biomarkers and clinical outcomes in low and middle-income settings
… With the modernisation of clinical care, prediction models have received greater attention in analysing such data. Prognosis prediction modelling approaches have been widely adopted, especially with digitising health records into electronic health records (EHRs). Dynamic prediction …
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Optimising Cardiovascular Disease Risk Assessment: Application of Dynamic Prediction Tools and Risk Stratification Strategies Using Electronic Health Records
… purpose, numerous prognostic cardiovascular risk prediction models have been developed in populations from different regions over the past two decades. However, there are limitations of existing risk prediction models. First, they are mostly based on single measurements of risk factors and there …
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Dynamic risk prediction of cardiovascular disease using primary care data from New Zealand
… CVD risk of a patient in primary care. A risk prediction model previously developed for this population by Pylypchuk et al. (2018) is based on using only the most recent observations of these biomarkers. Dynamic prediction is an alternative to this approach which updates risk predictions as …
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Decoding the Sequence-Dependent Properties of Intrinsically Disordered Proteins
… proteome. We first look at sequence-dependent dynamics. Using long timescale MD simulations on a set of diverse IDPs, we show that fast motions can be attributed to glycine residues, while transient secondary structure and local or long-range intramolecular interactions facilitate slow …
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Digital Twin for Machine Tools and Manufacturing Systems
… cases. The first one is a virtual–physical dynamic modelling case for rotating shafts using FEM and NARX networks. The second one is an industrial text-mining case involving over 2000 lines of historical fault records from an automotive connecting-rod production line. And the third one is an …
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Disturbance Rejection and Control in Web Servers
… this thesis also presents a feedback based prediction scheme. Comparisons between earlier predictions to the real response-times are used to correct a model based response time prediction. The prediction scheme is applied to a controller to compensate for disturbances before the effect …
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Machine Learning Driven Source Identification, State Estimation and Sensor Optimization in Water Systems
… developing two GNN models. The first is a Static Prediction GNN (SP-GNN) model, which provides accurate state estimation for fixed sensor configurations. The second is a Dynamic Prediction GNN (DP-GNN) model, which achieves generalized state estimation across any sensor configurations without the …
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Risk-Based Game Modelling for Port State Control Inspections
… after the implementation of NIR can serve as the prediction tool for estimating inspection results under dynamic situations. Additionally, a comparative analysis between two models is conducted to clarify the influence on PSC inspection system brought by NIR. When constructing the non-cooperative …
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Model, Design, and Control for Power Conversion in Wave Energy Converter System
… usually a floating buoy, absorbs the hydrodynamic motion from wave and generates a mechanical oscillation. A power take-off (PTO) with mechanical transmission, which harvests the electrical energy through the mechanical energy, usually includes a transmission that converts linear motions …
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From big data to personal narratives: a supervised learning framework for decoding the course of traumatic brain injury in intensive care
… analysed or interpreted. At the same time, the dynamic, complex disease course of TBI is not sufficiently characterised for truly patient-tailored treatment. This thesis capitalises on an opportunity to widen the context of information considered by individualised, dynamic models of functional …