Browsing Theses by Title
Now showing items 264-283 of 4235
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Barthes, Bakhtin, Structuralism: A Reassessment
(Queen Mary University of London, 2001)The thesis is a comparative analysis of the shared ideas and concerns in the works of Mikhail Bakhtin and Roland Barthes from the point of view of differences between French and Slavic literary structuralisms. Its ... -
Barts Explanatory Model Inventory: The exploration of cross-cultural variations in perceptions of mental distress
(2006)Cultural variations in individuals' perceptions of mental distress are an important issue for health care. They can affect communication between health professionals and mentally distressed individuals and might be one ... -
The Basic Needs in Games (BANG) Model of Video Games and Mental Health: Untangling the Positive and Negative Effects of Games with Better Science
(2023-12-07)How do video games affect mental health? Despite decades of research and widespread interest from policymakers, parents, and players, in most cases the best answer we have is: it depends. I argue that our limited success ... -
Bats in a fragmented world
(Queen Mary University of London, 12/08/2019)Habitat loss and fragmentation are global threats to biodiversity, however, their impact on ecological function are not well understood. The Atlantic Forest hosts high levels of biodiversity and has experienced a long ... -
Bayesian Analysis of Multi-Stratum Designs and Probability-based Optimal Designs with Separation.
(Queen Mary University of London, 2015)Industrial experimental design is an important area under design of experiments and factorial design hold a rm place in industrial experiments. The generalization of factorial designs results in split-plot type designs ... -
Bayesian Design and Analysis of Small Multifactor Industrial Experiments
(2011)Unreplicated two level fractional factorial designs are a common type of experimental design used in the early stages of industrial experimentation. They allow considerable information about the e ects of several factors ... -
Bayesian methods for outliers in uniform and Pareto samples
(Queen Mary University of London, 2012-04)We begin by reviewing the current literature on outliers and look at what has been done both classically and from a Bayesian viewpoint. We then extend these Bayesian ideas to model outliers in uniform and Pareto samples. We ... -
Bayesian modelling of music : algorithmic advances and experimental studies of shift-invariant sparse coding
(Queen Mary University of London, 2005)In order to perform many signal processing tasks such as classification, pattern recognition and coding, it is helpful to specify a signal model in terms of meaningful signal structures. In general, designing such a ... -
A Bayesian Network Approach for Product Safety Risk Management
(Queen Mary University of London, 2023)A new method for safety risk management and assessment using Bayesian networks is proposed to resolve limitations of existing methods and to ensure that products and systems available on the market are acceptably safe for ... -
Bayesian Network Decision-Support for Severe Lower Limb Trauma
(Queen Mary University of London, 2016-03-22)Severe lower limb injuries are potentially devastating and pose some of the most difficult decisions in trauma surgery. The goal is to ensure survival and reconstruct the most functional limb possible. Ideally this is ... -
Bayesian network structure learning in the presence of data noise
A Bayesian Network (BN) is a type of a probabilistic graphical model that captures conditional and marginal independencies between variables. These models are generally represented by a Directed Acyclic Graph (DAG), which ... -
Bayesian network structure learning in the presence of latent variables
A causal Bayesian Network (BN) is a probabilistic graphical model that captures causal or conditional relationships between variables, and enables causal reasoning under uncertainty. Causal reasoning via graphical ... -
Bayesian Networks for Clinical Decision Making : Support, Assurance, Trust
(Queen Mary University of London, 07/02/2019)Bayesian networks have been widely proposed to assist clinical decision making. Their popularity is due to their ability to combine different sources of information and reason under uncertainty, using sound probabilistic ... -
Bayesian Networks for Evidence Based Clinical Decision Support.
(Queen Mary University of London, 2013)Evidence based medicine (EBM) is defined as the use of best available evidence for decision making, and it has been the predominant paradigm in clinical decision making for the last 20 years. EBM requires evidence from ... -
Bayesian Networks for Health Care Support.
(Queen Mary University of London, 2016-03-12)Bayesian Networks (BNs) have been considered as a potentially useful technique in the health service domain since they were invented. Many authors have presented BNs for managing health care and waiting time, predicting ... -
Bayesian networks for prediction, risk assessment and decision making in an inefficient Association Football gambling market.
(Queen Mary University of London, 2013)Researchers have witnessed the great success in deterministic and perfect information domains. Intelligent pruning and evaluation techniques have been proven to be sufficient in providing outstanding intelligent decision ... -
Bayesian Spatial Modelling of Misaligned Data
(2022)The present work is concerned with the study of the properties of a model for spatially misaligned data that arises from applying a Multiple Membership (MM) principle to a conditional autoregressive (CAR) prior. The usual ... -
A Bayesian-Based Framework for Making Inspection and Maintenance Decisions from Data and Expert Knowledge
(Queen Mary University of London, 12/08/2019)It is estimated that more than one-third of current infrastructure maintenance expenditure is wasted through poor decision-making. To make better decisions about maintenance, there is a need to provide better predictions ... -
A Bayesian-Network-Based Framework for Risk Analysis and Decision Making in Cybersecurity
(Queen Mary University of London., 2021-07)Many approaches have been proposed to define, measure and manage cybersecurity risk. A common theme underpinning Cybersecurity Risk Assessment (CRA) involves modelling relationships between risk factors and the use of ... -
Beam Loss Reduction by Barrier Buckets in the CERN Accelerator Complex
(Queen Mary University of London, 2021)For a future intensity increase of the fixed-target beam in the accelerator complex at CERN, new techniques to reduce beam loss are required. A major fraction of the losses during extraction of the coasting beam from the ...