Sökning: "Multi-Label Error Classification"

Hittade 5 uppsatser innehållade orden Multi-Label Error Classification.

1. 1. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Erika Ax; Elin Djerf; [2023]
   Nyckelord :mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

   Sammanfattning : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. LÄS MER

3. 2. Self-Supervised Transformer Networks for Error Classification of Tightening Traces

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Dennis Bogatov Wilkman; [2022]
   Nyckelord :Transformers; Self-supervised Learning; Multi-Label Error Classification; Tightening Traces; Transformatorer; Självövervakad Inlärning; Klassificering av fel med flera etiketter; Skärpnings spår;

   Sammanfattning : Transformers have shown remarkable results in the domains of Natural Language Processing and Computer Vision. This naturally raises the question whether the success could be replicated in other domains. LÄS MER

4. 3. FMCW mmWave Radar for Detection of Pulse, Breathing and Fall within Home Care

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Axel Trange; [2021]
   Nyckelord :;

   Sammanfattning : Countless of elderly people fall and get hurt within their homes, worldwide, every year, and as they can not always reach out for help themselves, they end up helplessly waiting for someone to notice what has occurred. Throughout this work, it is investigated if remote sensing of the mmWave FMCW radar IWR6843AOPEVM can be adopted to detect the incident of falls, and also detect the vital signs of the human subject. LÄS MER

5. 4. Test Case Generation from Specifications Using Natural Language Processing

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alzahraa Salman; [2020]
   Nyckelord :Software testing; Test case generation; Natural Language Processing; Test case specifications; Programvarutestning; Testfallsgenerering; Naturlig språkbehandling; Testfallspecifikationer;

   Sammanfattning : 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. LÄS MER

7. 5. Working with emotions : Recommending subjective labels to music tracks using machine learning

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Johan Brodin; [2016]
   Nyckelord :machine learning music;

   Sammanfattning : Curated music collection is a growing field as a result of the freedom and supply that streaming music services like Spotify provide us with. To be able to categorize music tracks based on subjective core values in a scalable manner, this thesis has explored if recommending such labels are possible through machine learning. LÄS MER