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 37 for “"network modelling"”.
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Network modelling for sexually transmitted diseases
The aim of this thesis is to propose suitable mathematical models for the analysis of sexually transmitted disease epidemics. We are interested in a closed population, where infections are only transmitted through heterosexual contacts. The population is hence divided into two groups: male and …
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Gene regulatory network modelling with evolutionary algorithms -an integrative approach
… those associated with disease). Gene regulatory network (GRN) quantitative modelling is still limited, however, due to data issues such as noise and restricted length of time series, typically used for GRN reverse engineering. These issues create an under-determination problem, with many models …
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Neural Network Modelling and Control of Coal Fired Boiler Plant
This thesis presents the development of a Neural Network Based Controller (NNBC) for chain grate stoker fired boilers. The objective of the controller was to increase combustion efficiency and maintain pollutant emissions below future medium term stringent legislation. Artificial Neural Networks …
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A physics-informed neural network modelling methodology to analyse integrated thermofluid systems
Physics-informed neural networks (PINNs) were developed to overcome the limitations of acquiring large training datasets that are commonly encountered when using purely data-driven machine learning methods. This study explores a PINN modelling methodology to analyse steady-state integrated …
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CLIMATE RESILIENCE OF CRITICAL INFRASTRUCTURE: Network Modelling for Flood Resilience Assessment and Recovery Optimisation of Urban Rail Transit
… on 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 …
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A risk-based maintenance methodology of industrial systems
… this goal. Delay-time analysis is a maintenance modelling technique which can achieve such goals in a manufacturing environment. Delay-time analysis, through the input of certain parameters, is capable of establishing an optimum inspection interval from both a downtime standpoint as well as a …
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Inferring effective cancer combination therapies using network-based multi-omics data integration
… work presented in this Thesis aimed to implement network modelling to predict effective drug combinations utilising a comprehensive drug combination dataset and well-characterised cancer cell line genomic, transcriptomic, proteomic and methylation data. We hypothesised that (i) drug efficacy as …
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Elucidating TRPA1 Ion Channel Aberrations in Oesophageal Adenocarcinoma.
… approach including bioinformatics, molecular modelling, biophysics, network modelling, and molecular biology techniques. Work presented in this thesis identifies missense point mutations in TRPA1. The location of these mutations along the protein, reveals a mutation cluster in the …
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Head-dependent modelling and optimisation of water distribution systems
… accurately. When simulating a pressure-deficient network, results produced by demand-driven analysis model are highly unreliable and misleading. This thesis is concerned with the development and application of a new integrated head-dependent hydraulic and water quality model for pressure-deficient …
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Effect of Microstructure on Mechanical Properties of High Strength Steel Weld Metals
… weld metals have been studied. Based on neural network modelling, weld metals were produced using shielded metal arc welding with nickel at 7 or 9 wt. %, manganese at 2 or 0.5 wt. % while carbon was varied between 0.03 and 0.11 wt. %. From mechanical testing, it was confirmed that a large gain …
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Modelling tribology of slider and disk in a computer hard drive system
… identified for both CSS and drag testing. Neural Network modelling was used to substantiate results. Topographical AFM scans of disk and slider were exported numerically to file and explored extensively. Techniques were developed which improved line and area analysis. A method for detecting …
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Fatigue life prediction on nickel base superalloys
Neural networks have been used extensively in material science with varying success.It has been demonstrated that they can be very effective at predicting mechanical properties such as yield strength and ultimate tensile strength. These networks require large amounts of input data in order to learn …
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Joint Network Modeling of Omics Data for Understanding Complex Diseases
In recent years, network models have become increasingly important for the analysis of molecular data due to their ability to represent complex interplay within biological sys- tems. The availability of diverse molecular data sources, stemming from advancements in high-throughput genomic …
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Integrated network-based thermofluid model of a once-through boiler at full- and part-load
… that reason, a 1D quasi-steady-state thermofluid network model of a tower type once-through boiler was developed using the Flownex simulation environment. The furnace model assumes complete, infinitely fast combustion with a specified value of unburned carbon and excess air. The radiation heat …
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Integrative and Multi-scale Deep Learning for 3D Point Cloud Transmission Corridor Scene Segmentation: Noise Filtering, Attention-Fused Feature Integration, and Panoptic Network
… proposes the Noise Seeking Attention Network (NSANet), a novel solution integrating psychological theories of feature integration and attention engagement. NSANet achieves a 4.10% increase in F1-Score and a 7.30% improvement in recall by employing multiscale context, global physical …
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Future power system dynamic frequency response under high penetration levels of wind
… likely to change the patterns of UK transmission network operation and dynamic performance. Therefore, it is necessary to develop an analytical capability which can assess the system dynamic performance ahead of the anticipated changes. Although some work has been reported in this area, the …
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tle:43042b35-20c6-4eb2-a026-32c858dd4679:d6bd9758-527a-46cd-bfe2-c433766e8fca:1
… been accomplished through the use of modern pore network extraction (PNE) techniques to characterise the pore space within the meniscus, a soft tissue situated inside the knee which is fundamental for the correct functioning of the joint. While these PNE techniques were not primarily designed for …
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EXPLORING BITCOIN WITH COMPUTATIONAL SOCIAL SCIENCE METHODS
… un periodo di quindici anni- la ricerca combina network analysis, temporal network modelling e agent-based modelling per catturare la complessità del sistema. L’analisi mostra che, nonostante le sue radici ideologiche basate sulla decentralizzazione, Bitcoin si è evoluto in una rete fortemente …
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Development of Models for the Action of Novel Anti-apoptotic Proteins using Gene Regulation, Pathway Analysis and Protein Structure Prediction
… key proteins that regulate these pathways and networks. The wider aim of the work was to use these bioinformatics approaches to underpin and facilitate future efforts at designing novel anti-cancer drugs for ovarian and NSCLC. The specific objectives of the project were to predict de novo …
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A methodology for thermal analysis and predictive control of building envelope heating systems
… of inequalities. New concepts for thermal network modelling are presented, with which a combined thermal parameter such as the operative temperature can be explicitly represented with an imaginary thermal network. A building thermal system is systematically modelled with a generalized …
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