Sökning: "Response feature analysis"

Visar resultat 6 - 10 av 41 uppsatser innehållade orden Response feature analysis.

  1. 6. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations

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

    Författare :Wilhelm Ågren; [2022]
    Nyckelord :Machine learning; Deep learning; Self-supervised learning; Cluster analysis; SimCLR; Magnetoencephalography; Partial sleep deprivation; Wavelet transform; Maskininlärning; Djupinlärning; Självövervakad inlärning; Klusteranalys; SimCLR; Magnetoencefalografi; Delvis sömndeprivering; Wavelet transform;

    Sammanfattning : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. LÄS MER

  3. 7. Predictive maintenance using NLP and clustering support messages

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Ugur Yilmaz; [2022]
    Nyckelord :Predictive maintenance; support messages; NLP; unsupervised clustering; intent recognition; LDA; UMAP; HDBSCAN; BERT; Swedish BERT KB-BERT ; Billogram;

    Sammanfattning : Communication with customers is a major part of customer experience as well as a great source of data mining. More businesses are engaging with consumers via text messages. Before 2020, 39% of businesses already use some form of text messaging to communicate with their consumers. Many more were expected to adopt the technology after 2020[1]. LÄS MER

  4. 8. Performance and feature support of Progressive Web Applications : A performance and available feature comparison between Progressive Web Applications, React Native applications and native iOS applications.

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

    Författare :Anders Nilsson; [2022]
    Nyckelord :Mobile application development; Cross-platform tools; Progressive Web Applications; Performance analysis; iOS; QR code scanning; Mobilappsutveckling; plattformsoberoende verktyg; progressiva webbapplikationer; prestandaanalys; iOS; QR-skanning;

    Sammanfattning : Mobile platform fragmentation is one of the main challenges of mobile development today, forcing developers to develop one application for each targeted platform, which significantly impacts time and cost for application development and maintenance. The fragmentation has given rise to cross-platform application development tools and frameworks, making it possible to develop one single application compatible with several platforms. LÄS MER

  5. 9. Discovering and masking environmental features in modern sandboxes

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Alexander Ljungberg; Simon Smedberg; [2022]
    Nyckelord :Sandbox; Masking; Anti-VM; Anti-detection; Sandlåda; Maskering; Anti-VM; Antidetektering;

    Sammanfattning : Background. The awareness of cyber attacks in businesses is increasing with the rising number of cyber incidents for businesses. With nearly 350 000 new malware detected per day, there is a big incentive to allocate resources to company infrastructure to mitigate malware. These solutions require scalability not to become bottlenecks and expensive. LÄS MER

  7. 10. LSTM Feature Engineering Through Time Series Similarity Embedding

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sebastian Bångerius; [2022]
    Nyckelord :Embedding; time series; LSTM; feature engineering; DTW; correlation; prediction;

    Sammanfattning : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. LÄS MER