Sökning: "super sampling"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden super sampling.

  1. 1. How does the performance of NEAT compare to Reinforcement Learning?

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

    Författare :Marcus Andersson; [2022]
    Nyckelord :;

    Sammanfattning : This study examined the relative performance of Deep Reinforcement Learning compared to a neuroevolution algorithm called NEAT when used to train AIs in a discrete game environment. Today there are many AI techniques to choose from among which NEAT and RL have become popular alternatives. LÄS MER

  3. 2. Single-particle tracking for direct measurements of Trigger Factor ribosome binding in live cells

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Molekylärbiologi

    Författare :Tora Hävermark; [2021]
    Nyckelord :Trigger Factor; Single-particle tracking; in vivo kinetics; co-translational polypeptide processing;

    Sammanfattning : Trigger Factor (TF) is a prokaryotic chaperone protein that exerts its major chaperone activity while associated with translating ribosomes, assisting de novo folding of the emerging nascent chain. Although much is known about the kinetics behind TF-ribosome binding, most results are based on in vitro experiments which fail to mimic the cellular environment. LÄS MER

  4. 3. User Entrepreneurship in the esports Industry : An exploratory Case Study of the Game Series "Super Smash Bros."

    Master-uppsats, Jönköping University/Internationella Handelshögskolan

    Författare :Björn Niklas Tim Koch; Sören Benedikt Pongratz; [2020]
    Nyckelord :User entrepreneurship; esports Industry; Communities; User-specific Enablers; Environment-specific Enablers;

    Sammanfattning : Background: Users are an important but underestimated driver of innovation and entrepreneurship. Therefore, they have a positive impact on the competitive position of companies, the development of industries and the wealth of societies as a whole. LÄS MER

  5. 4. Social Distancing AI: Using super-resolution to train an object detection model on low resolution images

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Dennis Hein; [2020]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This paper addresses the following hypothetical situation: suppose that we want to train an object detection algorithm but that only low resolution data is available. As a tentative solution to this problem, this paper suggest to first super-resolve the low resolution data to obtain higher resolution data that is then fed to the object detection algorithm. LÄS MER

  7. 5. Determination of specificity and affinity of the Lactose permease (LacY) protein of Escherichia coli through application of molecular dynamics simulation

    Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Stuart Lutimba; [2018]
    Nyckelord :;

    Sammanfattning : Proteins are essential in all living organisms. They are involved in various critical activities and are also structural components of cells and tissues. LÄS MER