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 7 of 7 for “"multi-context"”.
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Explainable AI framework through Multi-Context Multi-Dimensional Graph Neural Network
In this research, we explored the multifaceted realm of digital communication, emphasizing social media channels such as Twitter and Reddit, complemented by conventional data-gathering techniques like focus group discussions and structured digital sources like ancient Greek literature. By fusing …
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Semantic interpretation of events in lifelogging
… features. Finally, the activity is modeled by multi-context representations and enriched by Semantic Web technologies. The thesis includes an experimental evaluation using real data from users and shows the performance of our algorithms in capturing the semantics of everyday concepts and their …
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Epistemic extensions of answer set programming
… Answer Set Programming (PASP); there are contexts in which the current semantics for PASP lead to unintuitive results. In this thesis we address these issues in the followings ways. Firstly; ASP lacks the means to easily model and reason about uncertain information. While extensions of ASP …
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Context Switching Strategies in a Run-Time Reconfigurable system
… enable rapid run-time reconfiguration. Having multiple configuration planes and switching between them while processing data is one approach towards achieving rapid reconfiguration. An experimental context switching programmable device, called the Context Switching Reconfigurable Computer …
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Efficient spectrum-handoff schemes for cognitive radio networks
… the cognitive radio; because it is capable of multi-context operation. In the thesis, two interference avoidance mechanisms are presented. The first mechanism prevents interference between terrestrial radio astronomy observations and inter-satellite links. The second mechanism prevent …
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On Modeling Dependency Dynamics of Sequential Data: Methods and Applications
… for transit service disruption detection, a multi-task learning framework for cybersecurity event detection, citation dynamics modeling via multi-context attentional recurrent neural networks, and traffic incident impact forecasting via hierarchical spatiotemporal graph neural networks. For …