Essays about: "Partiell"
Showing result 1 - 5 of 94 essays containing the word Partiell.
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1. Nested Noun Phrase Detection in English Text with BERT
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this project, we address the task of nested noun phrase identification in English sentences, where a phrase is defined as a group of words functioning as one unit in a sentence. Prior research has extensively explored the identification of various phrases for language understanding and text generation tasks. READ MORE
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2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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3. Monitoring of Partial Discharges on Cable Terminations : An experimental approach to evaluate non-conventional online PD measurement techniques
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The transmission of electric power over long distances has historically posed challenges. However, the advent of high-voltage engineering has not only addressed distance barriers and power losses in electricity transmission and distribution, but it has also significantly improved the efficiency and transmission capacity of power grids. READ MORE
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4. Finding Causal Relationships Among Metrics In A Cloud-Native Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. READ MORE
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5. Real-time Unsupervised Domain Adaptation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning systems have been demonstrated to be highly effective in various fields, such as in vision tasks for autonomous driving. However, the deployment of these systems poses a significant challenge in terms of ensuring their reliability and safety in diverse and dynamic environments. READ MORE