Sökning: "snapshots"

Visar resultat 16 - 20 av 44 uppsatser innehållade ordet snapshots.

  1. 16. Optimizing Bike Sharing System Flows using Graph Mining, Convolutional and Recurrent Neural Networks

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

    Författare :Davor Ljubenkov; [2019]
    Nyckelord :Data Science; Data Visualization; Bike-Sharing Systems; Graph Mining; Time Series Prediction; Machine Learning; Deep Learning; Recurrent Neural networks; Convolutional Neural Networks; Shareable Cities; Urban Informatics;

    Sammanfattning : A Bicycle-sharing system (BSS) is a popular service scheme deployed in cities of different sizes around the world. Although docked bike systems are its most popular model used, it still experiences a number of weaknesses that could be optimized by investigating bike sharing network properties and evolution of obtained patterns. LÄS MER

  2. 17. Fenomenet sommartorkan 2018 i ögonblicksbilder : En kvantitativ innehållsstudie om sommartorkan 2018

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för medier och journalistik (MJ)

    Författare :Nathalié Nylander; Ebba Ripheden; [2019]
    Nyckelord :Media; Newspaper; Social media; Summer drought;

    Sammanfattning : The aim of this study was to examine pictures from the swedish morning newspaper Barometern regarding their publication about the summer drought 2018 on two of theirplatforms; the ordinary printed newspaper and their Instagram account. The purpose of the study was to track down if there were any obvious differences aboutthe pictures that Barometern publishes in their printed newspaper and Instagramaccount. LÄS MER

  3. 18. Dynamic Graph Embedding on Event Streams with Apache Flink

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

    Författare :Massimo Perini; [2019]
    Nyckelord :Dynamic Graph; Representation Learning; Stream; Real-Time Data Processing; Scalable Graph Processing; Graph Neural Network; Experience Replay; Grafi dinamici; Representation Learning; Flussi di dati; Elaborazione in tempo reale; Elaborazione di grafi scalabile; Reti neurali per grafi; Experience Replay; Dynamisk graf; Representationsinlärning; ström; databehandling i realtid; skalbar grafbehandling; grafiskt neuralt nätverk; erfarenhetsåterspelning;

    Sammanfattning : Graphs are often considered an excellent way of modeling complex real-world problems since they allow to capture relationships between items. Because of their ubiquity, graph embedding techniques have occupied research groups, seeking how vertices can be encoded into a low-dimensional latent space, useful to then perform machine learning. LÄS MER

  4. 19. A Topological analysis of an alternative to the PageRank algorithm in weighted directed graphs

    Master-uppsats, KTH/Matematik (Inst.)

    Författare :Natalia Andrea Londono Castrillon; [2019]
    Nyckelord :;

    Sammanfattning : In this thesis I use seven data-sets of weighted, directed graphs and present them as weighted, directed k-simplicial complexes. Then, I analyse the topological properties of each data-set in question using Flagser by \cite{flagser} and the cluster at the TU Darmstadt. I then proceed to run two versions of an alternative to the PageRank algorithm. LÄS MER

  5. 20. Feature detection for geospatial referencing

    Master-uppsats, Umeå universitet/Institutionen för fysik

    Författare :Niklas Nilsson; [2019]
    Nyckelord :Feature detection; feature description; feature; image processing; digital image processing; image analysis; aerial photography; drone; Bildanalys; flygfotografi; flygfoto; bildprocessering;

    Sammanfattning : With the drone industry's recent explosive advancement, aerial photography is becoming increasingly important for an array of applications ranging from construction to agriculture. A drone flyover can give a better overview of regions that are difficult to navigate, and is often significantly faster, cheaper and more accurate than man-made sketches and other alternatives. LÄS MER