Sökning: "graf"

Visar resultat 1 - 5 av 166 uppsatser innehållade ordet graf.

  1. 1. Non-naivety in a long-lived ungulate : learning effects of shooting moose calves?

    Master-uppsats, SLU/Dept. of Wildlife, Fish and Environmental Studies

    Författare :Lukas Graf; [2021]
    Nyckelord :moose; Alces alces; integrated step selection function; habitat selection; anti-predator behavior;

    Sammanfattning : Habitat selection and movement are considered important factors for survival of game species when they are hunted by humans. To reduce their risk of predation, animals can adapt their behavior to their most abundant predator over time through experience. LÄS MER

  2. 2. A Method for Finding Strategies in Pursuit-Evasion Games

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

    Författare :Olaf Gren; Dennis Magnusson; [2020]
    Nyckelord :;

    Sammanfattning : Many real-world situations can be described as games over finite graphs, con- sisting of a set of agents performing joint actions affecting the state of the game. One class of games over finite graphs are the so called pursuit-evasion games, where a set of pursuers try to capture an evader on a finite map. LÄS MER

  3. 3. Gymnasieelevers svårigheter med derivata : en systematisk litterturstudie

    Uppsats för yrkesexamina på grundnivå, Linköpings universitet/Matematiska institutionenLinköpings universitet/Tekniska fakulteten; Linköpings universitet/Tekniska fakultetenLinköpings universitet/Matematiska institutionen

    Författare :Emil Johansson; Daniel Grönbäck; [2020]
    Nyckelord :Gymnasieelever; svårigheter; matematik; derivata;

    Sammanfattning : Den här studien är en systematisk litteraturstudie som syftar till att beskriva och sammanfatta gymnasieelevers svårigheter kring begreppet derivata. Genom systematiska sökningar både i databaser och manuellt valdes artiklar ut efter vissa urvalskriterier. Dessa artiklar sammanfattades och analyserades sedan. LÄS MER

  4. 4. Using Graph Neural Networks for Track Classification and Time Determination of Primary Vertices in the ATLAS Experiment

    Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :Mattias Gullstrand; Stefan Maraš; [2020]
    Nyckelord :Time determination; graph neural network; graph attentional network; HGTD; vertex; node classification; particle physics; machine learning; Tidsbestämning; neurala grafnätverk; uppvaktande grafnätverk; HGTD; vertex; nodklassificering; partikelfysik; statistisk inlärning;

    Sammanfattning : Starting in 2027, the high-luminosity Large Hadron Collider (HL-LHC) will begin operation and allow higher-precision measurements and searches for new physics processes between elementary particles. One central problem that arises in the ATLAS detector when reconstructing event information is to separate the rare and interesting hard scatter (HS) interactions from uninteresting pileup (PU) interactions in a spatially compact environment. LÄS MER

  5. 5. Graph neural networks for prediction of formation energies of crystals

    Master-uppsats, Linköpings universitet/Institutionen för fysik, kemi och biologi

    Författare :Filip Ekström; [2020]
    Nyckelord :Machine learning; graph neural networks; formation energies; crystal; transfer learning; phase diagram; Maskininlärning; graf-neuronnät; formationsenergier; kristall; transfer learning; fasdiagram;

    Sammanfattning : Predicting formation energies of crystals is a common but computationally expensive task. In this work, it is therefore investigated how a neural network can be used as a tool for predicting formation energies with less computational cost compared to conventional methods. LÄS MER