Theses
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Believability Assessment and Modelling in Video Games
Artificial Intelligence remains one of the most sought after subjects in computer science to this day. One of its subjects, and the focus of this thesis, is its application to video games as believable agents. This means ... -
Investigating the role of C1QTNF1-AS1 lncRNA in the regulation of cell division
Long non-coding RNAs (lncRNAs) are RNA molecules with low or no coding potential, which take up a significant proportion of the human genome. These RNA transcripts display a vast functional diversity, which lays the ... -
Wireless Sensing for Human Activity Recognition with Deep Learning
This dissertation delves into the potential of WiFi-based sensing for Human Activity Recognition (HAR), a promising avenue for smart healthcare and remote monitoring due to WiFi's ubiquity and non-intrusiveness. It confronts ... -
Exploring Meanings of Work-Nonwork Boundaries
Background: The current work-nonwork interface literature tends to conceptualise work and nonwork as distinct. Such an understanding is less relevant in jobs based on new ways of working and information communication ... -
Essays on the Economics of Education
(Queen Mary University of London, 2020)The first chapter studies the impact of public housing regenerations on student achievement. In London, many public housing buildings have been demolished between 1999 and 2016 to pave the way for new developments with ... -
Defining a Stromal Signature to predict progression of pre-invasive Ductal Carcinoma In-Situ (DCIS) of the Breast: A tool to stratify patient management
(2023-10-10)The percentage of women diagnosed with Ductal Carcinoma in Situ (DCIS), a pre-invasive stage of breast cancer, has increased since the implementation of the mammographic screening programme. Although DCIS is not a lethal ... -
RISC-V-based Flexible Integer Unit Design and Evaluation
In the last decades, the growth of low power design and implementation has been seen as the usage of mobile and embedded applications is increasing. Approximate computing has recently been advocated as a new computing ... -
Biomarker-driven designs in Rheumatoid Arthritis clinical trials
Despite the development of targeted therapies that have shown success in treating rheumatoid arthritis (RA), a significant proportion of patients still experience treatment failure. Two recent clinical trials that aimed ... -
INTERPRETING AND PRUNING COMPUTER VISON BASED NEURAL NETWORKS
Computer vision is a complex subject matter entailing tasks, such as, object detection and recognition, image segmentation, super resolution, image restoration, generated artwork, and many others. The application of these ... -
Neuro-Fuzzy Motion Planning for Robotic Manipulators
(1997-02-01)On-going research efforts in robotics aim at providing mechanical systems, such as robotic manipulators and mobile robots, with more intelligence so that they can operate autonomously. Advancing in this direction, this ... -
Dental Caries in Individuals living with Type 2 Diabetes: Exploring Severity, Risk Factors, and Salivary Metabolic Profiling for Comprehensive Insights
Abstract Background Diabetes mellitus is a well-known disease that is associated with several of general and oral health issues. However, evidence related to the association between type 2 diabetes mellitus (T2DM) and ... -
Investigating Mechanisms of Immune Escape leading to Relapse of Acute Myeloid Leukaemia after Allogeneic Haematopoietic Stem Cell Transplantation
Acute myeloid leukaemia (AML) is a haematological malignancy with an incidence of around 3000 cases per year in the UK. Despite recent advances in treatment, allogeneic haematopoietic stem cell transplantation (AHSCT) ... -
Robust Inference and Regression Modelling under General Heterogeneity
This thesis contains three chapters which aim at exploring and developing robust inference and regression modelling procedures under general heterogeneity. The new testing and estimation methods require unrestrictive ... -
Advancing liquid biopsy for minimal residual disease tracking in diffuse large B-cell lymphoma
Diffuse Large B-Cell Lymphoma (DLBCL) is a curable malignant haematological disorder. With the recent expansion in therapeutic option, the need for precise disease monitoring is rising. In this research thesis, our primary ... -
Rational Design of Selective Modulators of Skeletal Myosin
Disrupted interactions between the skeletal myosin motor protein and its partner protein actin in the repeating sarcomere units that make up muscle fibres have been implicated in potentially life-threatening muscular ... -
Defining Cell-specific Regulation of TRIB1 Transcription and Associated Outcomes
TRIB1 is a pseudokinase that sequesters substrates via its central kinase domain and interacts with the E3 Ubiquitin ligase COP1 via its C-terminal motif. Substrates include members of the MAP family of kinases and ... -
Characterisation of LARP6 interactions with RNA in cancer
Hyperactivation of ribosome biogenesis is a hallmark of tumorigenesis and therefore an attractive therapeutic target against a broad spectrum of cancers. The Mardakheh lab recently discovered the RNA-binding protein LARP6 ... -
Automatic extraction of retinal features to assist diagnosis of glaucoma disease
(2015-04-24)Glaucoma is a group of eye diseases that have common traits such as high eye pressure, damage to the Optic Nerve Head (ONH) and gradual vision loss. It affects the peripheral vision and eventually leads to blindness if ... -
Striving to thrive? Gender, careers and navigation strategies of Indian professional women
Over the last few decades, enduring gender inequalities and the need to alleviate them has been recognised globally. Astonishingly, India, the world’s most populated country exhibits one of the lowest female labour ... -
INVESTIGATING TWO-STAGE MACHINE LEARNING TECHNIQUES FOR HEART ARRHYTHMIA CLASSIFICATION
Heart arrhythmia classification plays a crucial role in diagnosing and treating cardiac conditions. This study focuses on investigating the efficacy of a two-stage approach for automatic heart arrhythmia classification ...