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 14 of 14 for “"Computer and information science"”.
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Exploring the factors affecting the adoption of e-assessments among the computer and information science programmes in a Higher Education Institution in the Middle East (HEIME)
The rapid development of Information and Communication Technology (ICT) opened up new possibilities for teaching and assessment practices in higher education. This has encouraged educational institutions worldwide to change assessment format from paper-based to computer-based assessments. In the …
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Designing a social website to encourage networking among women students at conferences
The percentage of women participating in computer science has been disturbingly low, and the number of computer and information science degrees earned by women has been on a downward trend. Several conferences have been put in place to address this issue, but networking at these conferences is …
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Interactive visualization of the collaborative research network
… years, leading to a rapid increase in the number and complexity of relationships among their entities. In this research, we focus on a large scale dataset known as the Digital Bibliography and Library Project or DBLP, which contains information on all publications that have been published in …
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You don't know what you don't know: Investigating the information needs of clients of web based public sector information services
… frustration experienced when attempting to find information on websites; especially government websites. Often the sites were loaded down with all sorts of information such as corporate organisation charts and press releases but lacked the information which would allow clients to interact …
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Joint clustering of hospitals based on their adminission behavior for different diseases using network of networks data model
… data-driven insights into their clinical and operational decisions. One such insight involves clustering hospitals based on similarities in their monthly admission behavior, which can help ensure that the supply of healthcare services meets the population’s needs. Since diagnosis plays a …
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Effective visualisation of callgraphs for optimisation of parallel programs: a design study
… used to perform scientific calculations on supercomputers. Optimising parallel applications to scale well, and ensuring maximum parallelisation, is a challenging task. The performance of parallel programs is affected by a range of factors, such as limited network bandwidth, parallel algorithms, …
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Evaluating interactions and decision-making by annotators and users in computer vision systems
Understanding how humans interact with and are influenced by intelligent systems is essential for improving their design and effectiveness. Although computer vision research has largely centered on algorithmic advances, these increasingly complex systems are ultimately used by people whose …
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Image Classification With Unstructured Collections
Most methods for scene understanding in computer vision consider the analysis of a single image or video. However, there is also a long history in multi-view analysis. Having information from multiple views can provide many benefits, such as estimating depth, mitigating issues of occlusion, and …
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REPRESENTATION LEARNING FOR VISUAL TASKS: A STUDY OF ATTENTION AND INFORMATION SELECTION
… learning by optimizing attention mechanisms and information selection strategies within deep learning models. Standard approaches often process images independently and compress them into single global descriptors, limiting performance on tasks requiring contextual understanding or …
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Incentive mechanism design in blockchain-based federated learning over edge clouds
… vulnerability to single points of failure, and a lack of transparency in model aggregation. While integrating blockchain technology into FL systems mitigates these security risks and ensures traceability, the resulting architecture demands significant computational and communication …
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Enhancing genomic data quality through deep learning methods
… medicine, where it informs genetic risk models and polygenic scores; in agriculture, where it guides breeding for yield and resilience; and in evolutionary biology, where it illuminates the forces shaping diversity. Yet, phenotype prediction is fundamentally constrained by incomplete genotype …
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Information Extraction from Scientific Literature
… communities. Manual extraction of critical information---including methodologies, datasets, and domain-specific terminologies---now consumes a substantial proportion of researchers' literature review time, particularly impacting time-sensitive fields like climate science and biomedical …
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Graph-Based Approach: Bridging Insights from Structured and Unstructured Data
… tools for uncovering intricate relationships and patterns in complex data, enabling the integration of structured and unstructured information for insightful decision-making across diverse domains. Our research focuses on constructing graphs from structured and unstructured data, demonstrating …
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Scalable information extraction with large language models
Information extraction (IE) transforms unstructured text into structured knowledge such as entities and relations, and is fundamental to applications including knowledge graph construction, information retrieval, question answering, and domain-specific document understanding. Although large …