Essays about: "Datautökning"
Showing result 1 - 5 of 7 essays containing the word Datautökning.
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1. Volumetric Image Segmentation of Lizard Brains
University essay from KTH/Tillämpad fysikAbstract : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. READ MORE
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2. Domain Adaptation with N-gram Language Models for Swedish Automatic Speech Recognition : Using text data augmentation to create domain-specific n-gram models for a Swedish open-source wav2vec 2.0 model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic Speech Recognition (ASR) enables a wide variety of practical applications. However, many applications have their own domain-specific words, creating a gap between training and test data when used in practice. READ MORE
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3. Improving a Few-shot Named Entity Recognition Model Using Data Augmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To label words of interest into a predefined set of named entities have traditionally required a large amount of labeled in-domain data. Recently, the availability of pre-trained transformer-based language models have enabled multiple natural language processing problems to utilize transfer learning techniques to construct machine learning models with less task-specific labeled data. READ MORE
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4. Test Case Generation from Specifications Using Natural Language Processing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Software testing plays a fundamental role in software engineering as it ensures the quality of a software system. However, one of the major challenges of software testing is its costs since it is a time and resource-consuming process which according to academia and industry can take up to 50% of the total development cost. READ MORE
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5. Comparison between standard and GAN-based data augmentation to improve chip pick classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Pick-and-place machines are used to assemble printed circuit boards, but they sometimes fail to pick up components correctly. Images of the chips once picked up are classified by a neural network to determine whether the process was successful. READ MORE
