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.
Results
Showing 1 to 10 of 10 for “"Graph-based model"”.
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Identifying Splicing Regulatory Elements with de Bruijn Graphs
… identifying variable length SREs utilizing a graph-based model with de Bruijn graphs and discovering co-occurring sets of SREs (combinatorial SREs) utilizing graph mining techniques. In addition, I studied and analyzed the effect of alternative splicing on tissue specificity in human. First, I …
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Advancing approaches to multi-target multi-camera tracking: Graph-based features, language integration, privacy preservation, and large language agent frameworks
… user interaction. First, we propose a graph-based model that leverages similarity algorithms to enhance cross-camera object association. Our framework achieves state-of-the-art performance with an IDF1 score of 0.8166 on the CityFlow dataset for offline tracking while maintaining …
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Context-aware pedestrian intent prediction for connected and automated vehicles
… deep learning. Research in deep learning on graphs is gaining momentum, showcasing the powerful descriptive capabilities of graph structures. These structures provide essential relationship data among various elements, proving invaluable across diverse learning applications. Our study …
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Circumventing Memory Corruption Mitigations in the Spectre Era: Real-World Attacks and Systematic Analysis of Defenses
… the two vulnerabilities in two disjoint threat models. This thesis studies the synergies that arise at the convergence of the two threat models. In particular, this thesis first presents PACMAN, a novel attack methodology that leverages speculative execution attacks to circumvent ARM Pointer …
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A decentralised graph-based framework for electrical power markets
… optimal power flow. Nevertheless, the classical model designed for vertically integrated power systems is now under pressure as new issues such as partial information introduced by the deregulation process, scalability posed by the multiple small renewable generation units as well as microgrids, …
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Graph-Based Approach: Bridging Insights from Structured and Unstructured Data
Graph-based methodologies provide powerful 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 …
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Using hypergraph theory to model coexistence management and coordinated spectrum allocation for heterogeneous wireless networks operating in shared spectrum
… radios have the ability for spectrum agility based on spectrum conditions. However, in the presence of multiple heterogeneous networks and without spectrum coordination, there is a challenge related to switching between available channels to minimise interference and maximise spectrum …
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Information-fusion-based methods to improve the detection of advanced cyber threats
… useful features. The features then drive anomaly-based and specification-based detection of attacks to provide alerts and improve visibility into the target network. We develop techniques that apply to general networked systems. However, to make the discussion concrete and reason about our design …
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Advances in nonnegative matrix factorization with application on data clustering.
… representation of high-dimensional data, based nonnegative matrix factorization (NMF) framework, for better clustering. Specifically, there are three methods as follows: - Multiple Components Based Representation Learning Real data are usually complex and contain various components. For …
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Hierarchical control for multi-domain coordination of vehicle energy systems with switched dynamics
… multi-domain storage and exchange of energy, a graph-based dynamic modeling approach is proposed and experimentally validated. This modeling approach is then leveraged for model-based control, in which the complex task of energy management is decomposed into a hierarchical network of model …