Sökning: "Sławomir Nowaczyk"

Visar resultat 16 - 20 av 21 avhandlingar innehållade orden Sławomir Nowaczyk.

  1. 16. Data-Driven Methods for Reliability Evaluation of Power Cables in Smart Distribution Grids

    Författare :Hassan Mashad Nemati; Sławomir Nowaczyk; Anita Pinheiro Sant'Anna; Antanas Verikas; Niklas Lavesson; Högskolan i Halmstad; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : This research aims to develop data-driven methods that automatically exploit historical data in smart distribution grids for reliability evaluation, i.e., analyzing frequency of failures, and modeling components’ lifetime. LÄS MER

  3. 17. Machine learning methods for vehicle predictive maintenance using off-board and on-board data

    Författare :Rune Prytz; Thorsteinn Rögnvaldsson; Sławomir Nowaczyk; Paul Davidsson; Högskolan i Halmstad; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Vehicle uptime is getting increasingly important as the transport solutions become more complex and the transport industry seeks new ways of being competitive. Traditional Fleet Management Systems are gradually extended with new features to improve reliability, such as better maintenance planning. LÄS MER

  4. 18. Automated Traffic Time Series Prediction

    Författare :Bin Sun; Wei Cheng; Prashant Goswami; Guohua Bai; Slawomir Nowaczyk; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Time Series; Traffic Engineering;

    Sammanfattning : Intelligent transportation systems (ITS) are becoming more and more effective. Robust and accurate short-term traffic prediction plays a key role in modern ITS and demands continuous improvement. LÄS MER

  5. 19. From Domain Adaptation to Federated Learning

    Författare :Zahra Taghiyarrenani; Sławomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia; Eirini Ntoutsi; Högskolan i Halmstad; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Data-driven methods have been gaining increasing attention; however, along with the benefits they offer, they also present several challenges, particularly concerning data availability, accessibility, and heterogeneity, the three factors that have shaped the development of this thesis. Data availability is the primary consideration when employing data-driven methodologies. LÄS MER

  7. 20. Learning from Multiple Domains

    Författare :Zahra Taghiyarrenani; Sławomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia; Ali Etemad; Högskolan i Halmstad; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Domain adaptation (DA) transfers knowledge between domains by adapting them. The most well-known DA scenario in the literature is adapting two domains of source and target using the available labeled source samples to construct a model generalizable to the target domain. LÄS MER