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 18 of 18 for “"model tuning"”.
-
Multi-configuration model tuning for precision opto-mechanical systems
… future space-based observatories that simulation models physically represent the designed system and are able to track along configuration changes. This thesis outlines a three-step procedure for model tuning of complex opto-mechanical systems in the presence of measured experimental data. It is …
-
Proportional-integral control in the evaluation of glucose homeostasis and Type 2 Diabetes
Mathematical modelling of blood sugar dynamics has been explored since the early 1960s. For most of these models, measurements of hormones such as insulin and glucagon are required to find parameter values that yield plausible glucose behaviour. These hormone measurements require repeated blood …
-
Machine learning for well rate estimation : integrated imputation and stacked ensemble modeling
… procedure that combines the imputation model selection with the cross-validation procedure for downstream model tuning without data "leakage"--the primary objective shifts from minimizing the imputation data error to minimizing the downstream hold-out error. A stratified time-slicing …
-
Simulating and visualizing marine oil spills
… necessitates the development of computational models of the properties of petroleum, the containing environment, and a melding of them into a consistent simulation of the fate and transport of oil spills. Techniques of computer graphics will be applied to present the state of this system as a …
-
Adaptive control of hydraulic shift actuation in an automatic transmission
A low-order dynamic model of a clutch for hydraulic control in an automatic transmission is developed by separating dynamics of the shift into four regions based on clutch piston position. The first three regions of the shift are captured by a physics-based model and the fourth region is …
-
Principal Component Regression for Construction of Wing Weight Estimation Models
… easy to fit a data set exactly by a mathematical model no matter how the data points are distributed. But building a response by using a limited number of poorly distributed data points is very unreliable, yet necessary in conceptual design process. This thesis documents the lessons learned from …
-
Automated test case prioritization using machine learning for large scale continuous integration environments
… process by leveraging machine learning (ML) models. However, an automated and scalable solution is required to address the complexity of feature extraction and selection, ML model tuning, and evaluation in large-scale CI environments. This thesis aims to integrate ML techniques to improve the …
-
A knowledge-based approach to modelling fast response catchments
… 'knowledge' of the rainfall - runoff process. Modelling was carried out with the use of transfer functions, and an analysis is presented of the problems in using this type of model in hydrological forecasting. A physically realisable' transfer function model is outlined, and storm …
-
CyberCardia: Patient-specific electrophysiological heart model for assisting left atrium arrhythmia ablation
… properties, which are used to tune a heart model, creating a patient-specific whole-atrium model. With this model, we can simulate and detect arrhythmia sources, and provide ablation assistance. To build such a system, we investigated the fiber effects on atrial activation patterns. We …
-
Pedestrian environment as an urban indicator : developing a GIS model for measuring pedestrian friendliness
… evaluate its performance. Level of Service (LOS) models have been developed and widely used, but these provide insufficient information about the pedestrian environment of an area. In this study, a grid-based GIS model proposed for measuring pedestrian friendliness of an area is developed and …
-
A pneumatic semi-active control methodology for vibration control of air spring based suspension systems
… the plant dynamics is performed. A dynamic plant model is developed and tuned to experimental data. The plant model is then used in the design of a semi-active control system. A detailed description of the model tuning procedure is provided.</p> <p>Based upon the insights gained through analysis …
-
Artificial intelligence in business analytics, capturing value with machine learning applications in financial services
… value chain. To test this hypothesis different models as Generalized Linear Models, Random Forest, Gradient Boosting, and Artificial Neural Networks were tested, compared, and combined to test their predictive strength and robustness in different scenarios and use cases. The results indicate the …
-
Constrained word alignment models for statistical machine translation
… optimal. Most state-of-the-art word alignment models are grounded on statistical learning theory treating word alignment as a general sequence alignment problem, where many linguistically motivated insights are not incorporated. In this thesis, we propose new word alignment models with …
-
Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs.
… with geological interpretation to generate a model. Also increasing the degree of this uncertainty is the fact that the reservoir properties from different data sources - like well logs, cores and well test - often produce different results, thus making predictions less accurate. The present …
-
Temperature-index modelling of runoff from adeclining Alpine glacier
… reducingice areas influence meltwater runoff.1. Modelling runoff response from scenarios of modified air temperatures and iceareas (e.g. a +1°C scenario with 20% reduced ice area), with the aim of finding theextent to which the modified conditions influence ice melt. In order to model …
-
CLIMATE RESILIENCE OF CRITICAL INFRASTRUCTURE: Network Modelling for Flood Resilience Assessment and Recovery Optimisation of Urban Rail Transit
… transport resilience assessment employ network modelling to quantify the changes in topological attributes under random or targeted failure scenarios. This approach is insufficient to capture the multidimensionality of infrastructure resilience and falls short in representing the disruption …
-
South Asian summer monsoon variability: a modelling study with the atmospheric regional climate model HIRHAM5
… on observations, reanalysis data and global model simulations have been carried out with the focus on monsoon active and break phases over India, the understanding of the monsoon intraseasonal variability is only in the infancy stage. Regional climate models could benefit the comprehension of …
-
Dynamic behaviour of curved cable-stayed bridges
… unlikely predictable behavior often necessary FE model's simplification. Thus arose the necessity for structural engineers to develop solid experimental tools able to identify dynamic and static structural properties in order to calibrate, update and validate the FE model used at the design phase. …