Sökning: "robust scaling"

Visar resultat 6 - 10 av 30 uppsatser innehållade orden robust scaling.

  1. 6. Robust Graph SLAM in Challenging GNSS Environments Using Lidar Odometry

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Jesper Sundström; Alfred Åström; [2023]
    Nyckelord :graphslam; graph slam; graph; slam; automatic; control; robust; DCS; RRR; lidar odometry; gnss;

    Sammanfattning : Localization is a fundamental part of achieving fully autonomous vehicles. A localization system needs to constantly provide accurate information about the position of the vehicle and failure could lead to catastrophic consequences. LÄS MER

  3. 7. Influence of Preprocessing Steps for Molecular Data on Deep Neural Network Performance

    Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Tajouj Malla; [2023]
    Nyckelord :;

    Sammanfattning : The massive accumulation of omics data requires effective computational tools to analyze and interpret such data. Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI), has shed light on these challengings and achieved great success in bioinformatics. LÄS MER

  4. 8. Föräldrastil och skärmtid - En kvantitativ undersökning om sambandet mellan den auktoritära föräldrastilen och barns skärmtid

    Kandidat-uppsats, Lunds universitet/Socialhögskolan

    Författare :Elsa Niwong; Stina Wredmark; [2023]
    Nyckelord :Parenting style; authoritarian parenting style; childrens screentime; Social Sciences;

    Sammanfattning : Introduction and method: The aim of this study was to investigate the relationship between the authoritarian parenting style and children's screen time. The study included parents of children between the ages of 0-6 years (n=397). LÄS MER

  5. 9. Folding HP Proteins on a Quantum Annealer

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Lucas Knuthson; [2022]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : Quantum annealing provides a promising avenue for obtaining good approximate solutions to difficult optimization problems. Protein folding represents one such problem. For testing novel algorithms and technologies, simplified lattice models are well suited, as they represent considerable computational challenges despite their simplicity. LÄS MER

  7. 10. Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory

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

    Författare :Thomas Wang; [2021]
    Nyckelord :Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resource Provisioning; Autoscaling; Predictive scaling; CPU Usage; Seasonality; Exponential Smoothing; Long short-term memory; Time-series Analysis; Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resursförsörjning; Autoskalning; prediktiv skalning; CPU Användning; Säsongsmässighet; Exponentiell utjämning; långt korttidsminne; tidsserieanalys;

    Sammanfattning : Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. LÄS MER