Essays about: "Component Retrieval"
Showing result 1 - 5 of 18 essays containing the words Component Retrieval.
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1. Effects of Ultrafast Ionization in X-ray Coherent Diffraction Imaging
University essay from KTH/KemiAbstract : Koherent Diffraktionsavbildning med en intensiv röntgenpuls från en Frielektronlaser har möjliggjort strukturbestämning av isolerade nanopartiklar som inte går att studera med hjälp av konventionella metoder, så som elektronmikroskopi. En mycket kort pulslängd tillsammans med spridningssignalens beroende av objektets elektroniska struktur medför också möjligheten att studera inducerad ultrasnabb dynamik med denna teknik. READ MORE
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2. Information Extraction for Test Identification in Repair Reports in the Automotive Domain
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The knowledge of tests conducted on a problematic vehicle is essential for enhancing the efficiency of mechanics. Therefore, identifying the tests performed in each repair case is of utmost importance. This thesis explores techniques for extracting data from unstructured repair reports to identify component tests. READ MORE
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3. Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain : Comparing dense embeddings with BM25 for Open Domain Question Answering
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Having computer systems capable of answering questions has been a goal within Natural Language Processing research for many years. Machine Learning systems have recently become increasingly proficient at this task with large language models obtaining state-of-the-art performance. READ MORE
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4. Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG
University essay from Lunds universitet/Matematisk statistikAbstract : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. READ MORE
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5. Statistics and machine learning for classification of emotional and semantic content of EEG
University essay from Lunds universitet/Teknisk matematik (CI); Lunds universitet/Institutionen för reglerteknikAbstract : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. READ MORE