Essays about: "structure prediction"
Showing result 11 - 15 of 198 essays containing the words structure prediction.
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11. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. READ MORE
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12. Link Prediction Using Learnable Topology Augmentation
University essay from KTH/Matematik (Avd.)Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE
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13. Remaining Useful Life Prediction of Power Electronic Devices Using Recurrent Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The growing demand for sustainable technology has led to an increased application of power electronics. As these devices are often exposed to harsh conditions, their reliability is a primary concern for both manufacturers and users. READ MORE
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14. A Multi-Level Extension of the Hierarchical PCA Framework with Applications to Portfolio Construction with Futures Contracts
University essay from KTH/Matematisk statistikAbstract : With an increasingly globalised market and growing asset universe, estimating the market covariance matrix becomes even more challenging. In recent years, there has been an extensive development of methods aimed at mitigating these issues. READ MORE
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15. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE