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 20 of 42 for “"Graph analysis"”.
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Insights into brain networks from functional MRI and graph analysis during and following attentional demand
… which were analyzed with a BOLD approach and graph analysis. Brain networks that mediate ‘attentional effort’ were identified as being involved during the task. These networks were further functionally differentiated in motivational and arousal components. Further, the task performance has led …
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Unraveling the Structure and Assessing the Quality of Protein Interaction Networks with Power Graph Analysis
… addresses tree open problems centered upon their analysis and quality assessment. First, we introduce power graph analysis as a novel approach to the representation and visualization of biological networks. Power graphs are a graph theoretic approach to lossless and compact representation of …
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A comprehensive and efficient framework for subgraph matching
… aims to develop a comprehensive and efficient subgraph matching framework to support graph analytic tasks. In the era of information technology, graphs, consisting of vertices and edges, are widely used to model real-world entities and their relationships, offering new opportunities to understand …
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GSTACO: A Generalized Sparse Tensor Algebra Compiler
… the requirements of complex applications like graph analysis. In this work we attempt to identify where previous solutions fell short and build the Generalized Sparse Tensor Algebra Compiler (GSTACO), a new compiler aiming to fill in the engineering gaps of efficient sparse computation.
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The gap between necessity and sufficiency for stability of sparse matrix systems: simulation studies
… systems (SMSs) are potentially very useful for graph analysis and topological representations of interaction and communication among elements within a system. Such systems’ stability can be determined by the Routh-Hurwitz criterion. However, simply using the Routh-Hurwitz criterion is not …
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Exploring the Dimensions and Dynamics of Partnered Sexual Behaviours: Scale Development and Validation Using Factor and Network Analysis
… network psychometrics approach using Exploratory Graph Analysis and Unique Variable Analysis to be more inclusive and better suited to modelling the complexity of concrete item-level partnered sexual interests and behaviours in comparison to traditional factor analytic approaches.
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Grasp - A Graph-Based SLA Breach Prediction Framework at the Service Level in Neural Inference
… time-spectrum framework, called GRASP (Graph-based SLA Breach Prediction). It leverages time-series data, sequence processing, and graph-based modeling to proactively detect performance anomalies and predict SLA breaches in microservice-based systems within upcoming time windows. In our …
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A Multi-layer Dependency Model for Analysis of Safety-critical Embedded Systems
… including redundancy or conventional dependency analysis, often lead to expensive and complex system designs. In this work, we propose a multi-layer dependency framework to analyze safety-critical systems. This framework captures fine-grained dependencies in safety-critical systems compared with …
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GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool
Attack graphs are valuable tools in the assessment of network security, revealing potential attack paths an adversary could use to gain control of network assets. Creating an effective visualization for attack graphs is essential to their utility, but many previous efforts produce complex displays …
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Graph diffusions and matrix functions: fast algorithms and localization results
Network analysis provides tools for addressing fundamental applications in graphs such as webpage ranking, protein-function prediction, and product categorization and recommendation. As real-world networks grow to have millions of nodes and billions of edges, the scalability of network analysis …
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Investigating the built environment of Fort George Wright, Spokane, Washington: a historic archaeological approach
… Victorian ideals of social division, a spatial analysis of the fort’s plan at different periods was conducted using Visibility Graph Analysis. The results of this analysis were compared to similar studies of contemporary fortifications in Washington State. This thesis demonstrates that an …
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Conservation in signal processing systems
… have played a key role in the development and analysis of many existing engineering systems and algorithms. In electrical network theory for example, many of the useful theorems regarding the stability, robustness, and variational properties of circuits can be derived in terms of Tellegen's …
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Problem-Specific Quantum Machine Learning and Quantum Algorithms: Data Embeddings, Symmetries and Structure
… function and image classification, and graph analysis. Our general algorithm design process is based upon three foundation stones: data embeddings, symmetries and structure. Through theoretical investigations, simulations and scaling analysis, we demonstrate the utility of our protocols, …
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Predicting business failure in the food service industry
… as failed or nonfailed is also presented. Data analysis confirmed that differences in financial statement items and ratios do exist between nonfailed and total failure restaurants. Trend analysis showed that certain ratios give more indication of decline prior to failure than others. This …
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Graph feature engineering and coordinate-based learning for transferable and energy-efficient artificial intelligence
… framework for efficient and scalable graph representation learning is presented, emphasizing coordinate-based and explicit structural methods. The research addresses the limitations of Graph Neural Networks (GNNs) in resource-constrained environments, including edge devices and …
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Characterising Cryptocurrency Project Networks Using Graph-Based Analysis
… This thesis proposes a new framework titled Graph Analysis of Cryptocurrency Project Network (GAPNET) to analyze dApps using a collection of graph-based methods. The framework brings together different methods based on Graph Properties and Token Price Correlation. In the thesis, I use this …
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Enhancing Transaction Monitoring Controls to Detect Money Laundering Using Machine Learning
… the foundation of the study, encompassing an analysis of current transaction monitoring methods. It evaluates data pre-processing tech- niques, dataset characteristics, feature selection processes, and the application of various ma- chine learning algorithms. This review highlights significant …
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Análise de grafos de textos literários: investigação de traços psicóticos
… the speech of psychotic and healthy subjects. Graph analysis of these subjects’ autobiographic reports allows the quantification of psychotic speech symptoms, marked by poor, disconnected and repetitive speech. Based on a literal reevaluation of ancient texts, Julian Jaynes proposed that …
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Efficient hardware and software assist for many-core performance
… The LIME framework uses profiling, statistical analysis and control flow graph analysis to automatically determine the nature of load imbalance problems and pinpoint the code where the problems are introduced. Second, I address scalability problem of the barrier, which has become costly and …
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A high-performance framework for analyzing massive complex networks
Graphs are a fundamental and widely-used abstraction for representing data. We can analytically study interesting aspects of real-world complex systems such as the Internet, social systems, transportation networks, and biological interaction data by modeling them as graphs. Graph-theoretic and …
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