Sökning: "Prestandakrav"

Visar resultat 1 - 5 av 23 uppsatser innehållade ordet Prestandakrav.

  1. 1. A Gradient Boosting Tree Approach for Behavioural Credit Scoring

    Master-uppsats, KTH/Matematisk statistik

    Författare :Axel Dernsjö; Ebba Blom; [2023]
    Nyckelord :Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Sammanfattning : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. LÄS MER

  3. 2. Sequential Machine Learning in Material Science

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Victor Bellander; [2023]
    Nyckelord :Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Sammanfattning : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. LÄS MER

  4. 3. VOID

    Magister-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Björn Carlshamre; Harriet Rundquist; [2021]
    Nyckelord :;

    Sammanfattning : Projektet är ett kandidatexamensarbete utfört i samarbete med företaget Louqe AB, som är ett svenskt företag som tillverkar och designar chassin för stationära PC-datorer. De gav i uppdrag att utveckla ett chassi för den portabla datoranvändaren. Projektet var från start döpt av Louqe till “Void”. LÄS MER

  5. 4. Runtime cross-layer optimization for visual-inertial localization on resource-constrained devices

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

    Författare :Jessica Ivy Kelly; [2021]
    Nyckelord :Cross-layer optimization; Resource management; Resource-constrained devices; Runtime control; Visual-inertial localization.;

    Sammanfattning : An increasing number of complex applications are being executed on resource constrained devices, such as drones and rovers. Such systems often operate in dynamic and unknown environments, and consequently have dynamic performance requirements based on their surroundings. LÄS MER

  7. 5. Design and Evaluation of a Microservice Testing Tool for Edge Computing Environments

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

    Författare :Ozan Tanfener; [2020]
    Nyckelord :Edge Computing; Microservices; Service Placement; Testing; Edge Computing; Mikroservicer; Serviceplacering; Testning;

    Sammanfattning : Edge computing can provide decentralized computation and storage resources with low latency and high bandwidth. It is a promising infrastructure to host services with stringent latency requirements, for example autonomous driving, cloud gaming, and telesurgery to the customers. LÄS MER