Browsing Theses by Title
Now showing items 779-798 of 4235
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Daar al Falastini: home, family and identity among Palestinians in Britain
(2011)What do home, family and identity mean for diasporic populations? What kinds of practices, relationships and spaces are involved in making these things come alive on an everyday basis? What does an understanding of this ... -
Dangerous Positions: Anti-Episcopal Martyrology and the Fashioning of Pietistic Protest in England, c.1520-1560
(Queen Mary University of London, 07/07/1997)This thesis. looks at a group of texts, that it has identified as English Protestant~ antI-epIscopal martyrologies, in their social context. It examines the dIalogue In print and manuscript between Protestant reformers in ... -
'Dangerously far advanced into the darkness’: the place of mysticism in the life and work of Aldous Huxley
(Queen Mary University of London, 2011)This thesis traces Huxley’s abiding preoccupation with mysticism, from his first collection of poetry to his final novel Island (1962). The function of mystics, Huxley argues in Grey Eminence (1941), is to dispel the ... -
Dark Matter Models: Signals and Backgrounds at the LHC and Future Colliders
(2023)We explore the phenomenological signals and potential backgrounds of various Minimal Consistent Dark Matter (MCDM) models in the context of the Large Hadron Collider (LHC), non-LHC and future collider experiment searches. ... -
Das Trauma der "Opfertäter" und die Psychoästhetik der Trauer in Günter Grass´ Novelle Im Krebsgang
(2010)Erstmals hat Günter Grass, dessen bisheriges Werk eine Beschäftigung mit den Fragen um Schuld und Scham verfolgte, in seiner Novelle Im Krebsgang die Ambivalenz der „Opfertäter“ aus Mitwissern, Mitläufern und Mittätern von ... -
Data in Policing: An Examination of the Behavioural Responses of Public Officials
Data-driven and algorithmic technologies are ambitiously implemented in the public sector to improve operational efficiency and decision-making. Researchers have assessed the impact of these technologies mainly from a ... -
Data-Centric Energy Efficient Adaptive Sampling Techniques for Wireless Pollution Sensor Networks
(Queen Mary University of London, 08/04/2014)Air pollution is one of the gravest problems being faced by modern world, and urban traffic emissions are the single major source of air pollution. This work is founded on collaboration with environmental scientists who ... -
Data-Driven Approach based on Deep Learning and Probabilistic Models for PHY-Layer Security in AI-enabled Cognitive Radio IoT.
(Queen Mary University of London, 2021-06-06)Cognitive Radio Internet of Things (CR-IoT) has revolutionized almost every eld of life and reshaped the technological world. Several tiny devices are seamlessly connected in a CR-IoT network to perform various tasks ... -
Data-Driven Query by Vocal Percussion
(2023)The imitation of percussive sounds via the human voice is a natural and effective tool for communicating rhythmic ideas on the fly. Query by Vocal Percussion (QVP) is a subfield in Music Information Retrieval (MIR) that ... -
The dawn - a study of the traditional love lyric of medieval Spain and Portugal.
(1979)The object of this study is to investigate the origins of the traditional lyric poetry of the Iberian Peninsula through an analysis of the poetry of dawn meeting. The formative influences on each of the three types ... -
Decarboxylative Transformations: Synthetic Applications and Mechanistic Investigations Submitted
(Queen Mary University of London, 17/02/2015)and biological sources. Recent advances in decarboxylative activation has allowed for the application of these reagents as building-blocks in organic synthesis; presenting viable, green alternatives to traditional ... -
Decision support for the diagnosis and management of chronic conditions using Bayesian Networks with a case study in Gestational Diabetes
(Queen Mary University of London, 2022-04)Clinical decision support is needed for chronic medical conditions. Compared with a decision about the treatment choice in an acute condition, the management of a chronic condition involves repeated and regular decisions. ... -
Decision Support using Bayesian Networks for Clinical Decision Making.
(Queen Mary University of London, 2012-04)This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Discretization Algorithm, to model a variety of clinical problems. In particular, the thesis demonstrates four novel applications of ... -
Decision-Support for Rheumatoid Arthritis Using Bayesian Networks: Diagnosis, Management, and Personalised Care.
(Queen Mary University of London., 2021-05)Bayesian networks (BNs) have been widely proposed for medical decision support. One advantage of a BN is reasoning under uncertainty, which is pervasive in medicine. Another advantage is that a BN can be built from both ... -
Deep Learning Enabled Resource Allocation in Wireless Communications
As a key characteristic of fifth-generation (5G) and beyond communications, massive access is an irreversible trend. The advantages of massive access have been verified in various applications, standards, and regulations, ... -
Deep Learning Enabled Semantic Communication Systems
(2023)In the past decades, communications primarily focus on how to accurately and effectively transmit symbols (measured by bits) from the transmitter to the receiver. Recently, various new applications appear, such as autonomous ... -
Deep Learning for Audio Effects Modeling
(Queen Mary University of London, 2021-01-29)Audio effects modeling is the process of emulating an audio effect unit and seeks to recreate the sound, behaviour and main perceptual features of an analog reference device. Audio effect units are analog or digital ... -
Deep Learning for Information Transmission through Multimode Optical Fibres
(Queen Mary University of London, 2021)Multimode fibres (MMF) are miniaturised, flexible and high-capacity information channels due to characteristics like small cross-section and a large number of spatial modes, promising to open up new applications in ... -
Deep Learning for Music Information Retrieval in Limited Data Scenarios.
(Queen Mary University of London, 2020-07-21)While deep learning (DL) models have achieved impressive results in settings where large amounts of annotated training data are available, over tting often degrades performance when data is more limited. To improve the ... -
Deep Learning Methods for Instrument Separation and Recognition
This thesis explores deep learning methods for timbral information processing in polyphonic music analysis. It encompasses two primary tasks: Music Source Separation (MSS) and Instrument Recognition, with focus on applying ...