Sökning: "Johan Run"

Visar resultat 11 - 15 av 157 uppsatser innehållade orden Johan Run.

  1. 11. Interactive Ecosystem Simulator

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :JOHAN ATTERFORS; CARL HOLMBERG; ALEXANDER HUANG; ROBIN KARHU; BRAGE LAE; ALEXANDER LARSSON VAHLBERG; [2021-09-07]
    Nyckelord :Ecosystem; Simulation; Unity; AI; ML; RL; ABM; GA; PCG; Welford;

    Sammanfattning : As ecosystems are complex domains, both analytical and computer-aided models can aid in gaining insights about their dynamics. One such computer-aided model is the concept of ecosystem simulation. This project aims to build an interactive and visual ecosystem simulation in the Unity game engine. LÄS MER

  3. 12. Blåklint : ett ökande problem i svensk växtodling

    Kandidat-uppsats, SLU/Dept. of Crop Production Ecology

    Författare :Johan Johnsson; [2021]
    Nyckelord :bekämpning; biologi; blåklint; Centaurea cyanus L; herbicider; intervjuer; konkurrensstarka grödor; rådgivare; seriesammanställning; växtföljd;

    Sammanfattning : Blåklint (Centaurea cyanus L) är ett vinterannuellt örtogräs som kan orsaka kraftiga skördesänkningar i odlade grödor. Den är idag ett ökande problem i svensk växtodling eftersom höstsådda grödor odlas i stor utsträckning. LÄS MER

  4. 13. Comparing decentralized learning to Federated Learning when training Deep Neural Networks under churn

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

    Författare :Johan Vikström; [2021]
    Nyckelord :Peer- to- Peer; Decentralized Machine Learning; Federated Learning; Gossip Learning; Long Short- Term Memory; Convolutional Neural Network; Peer- to- peer; Decentraliserad Maskininlärning; Federated learning; Gossip learning; Lång korttidsminne;

    Sammanfattning : Decentralized Machine Learning could address some problematic facets with Federated Learning. There is no central server acting as an arbiter of whom or what may benefit from Machine Learning models created by the vast amount of data becoming available in recent years. LÄS MER

  5. 14. Sharing local files with Kubernetes clusters

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Martin Jakobsson; Johan Henriksson; [2021]
    Nyckelord :file system; fuse; kubernetes; docker; notebook; container; cowait; Technology and Engineering;

    Sammanfattning : Data science development largely revolves around working in notebooks, and these usually run in a cluster environment. These cloud notebooks do however come with limitations. Support for tools like version control, testing, refactoring and linting is limited, which negatively impacts developer experience and software quality. LÄS MER

  7. 15. Formalise Defense Strategies in Design Patterns of Threat Models

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

    Författare :Johan Settlin; [2021]
    Nyckelord :Cyber Security; Security Patterns; Threat Models; Meta Attack Language; Defense Mechanisms; Structural Defenses; Datasäkerhet; Säkerhetsmönster; Hotmodeller; Meta Attack Language; Försvarsmekanismer; Strukturella Försvar;

    Sammanfattning : Cyber-attacks are an increasing problem for organizations across the world. The attacks on systems are getting more and more sophisticated and thereby more and more difficult to protect against. The security of systems is crucial to protect your data from unauthorized access. LÄS MER