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 7 of 7 for “"Bayesian Networks (BN)"”.
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A weather related causal analysis on consolidated delay at Newark Liberty International Airport
… This dissertation explores the utilisation of Bayesian Networks (BN) and heuristic analyses to investigate weather based delays at Newark Liberty International airport (KEWR). In particular, it aims to understand which weather variables (namely, precipitation, visibility and wind) have the most …
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An exploratory analysis of large health cohort study using Bayesian networks
… when subjected to newer analytical methods. Bayesian Networks (BN) provide a relatively new method of representing uncertain relationships among variables, using the tools of probability and graph theory, and have been widely used in analyzing dependencies and the interplay between variables. …
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Geometric Deep Learning for Healthcare Applications
… thesis explores the application of Graph Neural Networks (GNNs), a subset of Geometric Deep Learning methods, for medical image analysis and causal structure learning. Tracking the progression of pathologies in chest radiography poses several challenges in anatomical motion estimation and image …
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Multi-dimensional clustering in user profiling
… and clustering algorithms, such as Bayesian Networks (BN) and Decision Trees (DTs) have been simulated using user profiles and their classification accuracy performances were evaluated. Additionally, a novel clustering algorithm for the user profiling, namely Multi-Dimensional …
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An enhanced Bayesian Network prediction model for football matches based on player performance
… existing researches have showed that the Bayesian networks (BN) approach has greatly contributed to predicting football match results with considerably high accuracy as compared to other classical statistical and machine learning approaches. However, existing prediction models rely solely …
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Modelling Resources in simulation Engineering Design Processes
… model, Applied Signposting Model (ASM), with Bayesian Networks (BN), allows testing the influence of using different resources combinations on process performance. The model uses BN within each task to model different instances of resources that carries out the design activities …
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Evolving and Proactive Risk Modelling in Underground Working Environments
… real-time Internet of Things (IoT) sensor networks, advanced probabilistic modelling, and adaptive deep learning (DL) techniques to address the critical challenges of managing hazardous underground environments. By fusing heterogeneous sensor data with robust Bayesian Networks (BNs) and …