Essays about: "Duplicate detection"
Showing result 6 - 10 of 17 essays containing the words Duplicate detection.
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6. Detecting and comparing Kanban boards using Computer Vision
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates the problem of detecting and tracking sticky notes on Kanban boards using classical computer vision techniques. Currently, there exists some alternatives for digitizing sticky notes, but none keep track of notes that have already been digitized, allowing for duplicate notes to be created when scanning multiple images of the same Kanban board. READ MORE
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7. Grouping Similar Bug Reports from Crash Dumps with Unsupervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Quality software usually means high reliability, which in turn has two main components; the software should provide correctness, which means it should perform the specified task, and robustness in the sense that it should be able to manage unexpected situations. In other words, reliable systems are systems without bugs. READ MORE
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8. Verification of hypochromic erythrocytes on Sysmex XN 2000
University essay from Uppsala universitet/Institutionen för kvinnors och barns hälsaAbstract : Anemia is a serious blood disease that more than two billion suffer from worldwide. Half of that number consist of iron deficiency anemia, which is insufficiency of iron supply to the bone marrow due to empty iron store or hampered iron utilization due to inflammation. Therefore, requires rapid diagnosis. READ MORE
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9. Detection of artefacts in FFPE-sample sequence data
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Next generation sequencing is increasingly used as a diagnostic tool in the clinical setting. This is driven by the vast increase in molecular targeted therapy, which requires detailed information on what genetic variants are present in patient samples. READ MORE
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10. Duplicate Detection and Text Classification on Simplified Technical English
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : This thesis investigates the most effective way of performing classification of text labels and clustering of duplicate texts in technical documentation written in Simplified Technical English. Pre-trained language models from transformers (BERT) were tested against traditional methods such as tf-idf with cosine similarity (kNN) and SVMs on the classification task. READ MORE