Sökning: "Call Graph"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden Call Graph.

  1. 1. CodeViz - A Usability-Driven Call Graph Tool

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Pontus Gustafsson; Ibrahim Hazem; [2023]
    Nyckelord :call graph; usability; maintainability; comprehension;

    Sammanfattning : Since the start of software, comprehension has always been an issue solved through various methods, such as bottom-up models or visualizing code, specifically graphs. They are used to obtain a bird’s-eye view and the execution path of the software. Although these tools exist, they must include important usability features. LÄS MER

  3. 2. Telecom Fraud Detection Using Machine Learning

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

    Författare :Chao Xiong; [2022]
    Nyckelord :Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

    Sammanfattning : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. LÄS MER

  4. 3. Labelling Customer Actions in an Autonomous Store Using Human Action Recognition

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Oskar Areskog; [2022]
    Nyckelord :artificial intelligence; ai; human action recognition; graph-convolutional neural network;

    Sammanfattning : Automation is fundamentally changing many industries and retail is no exception. Moonshopis a South African venture trying to solve the problem of autonomous grocery storesusing cameras and computer vision. This project is the continuation of a hackathon heldto explore different methods for Human Action Recognition in Moonshop’s stores. LÄS MER

  5. 4. Causal discovery in conditional stationary time-series data : Towards causal discovery in videos

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

    Författare :Carles Balsells Rodas; [2021]
    Nyckelord :Causality; Causal discovery; Neural networks; Graph neural network; Time series; Non-stationary; Orsakssamband; Kausal upptäckt; Neurala nätverk; Diagram Neurala nätverk; Tidsföljder; Icke-stationär;

    Sammanfattning : Performing causal reasoning in a scene is an inherent mechanism in human cognition; however, the majority of approaches in the causality literature aiming for this task still consider constrained scenarios, such as simple physical systems or stationary time-series data. In this work we aim for causal discovery in videos concerning realistic scenarios. LÄS MER

  7. 5. Volatility Curves of Incomplete Markets

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Kateryna Chechelnytska; [2020-06-23]
    Nyckelord :Implied volatility; Incomplete markets; Trinomial option pricing model; Black-Scholes option pricing model; Risk-neutral probability;

    Sammanfattning : The graph of the implied volatility of call options as a function of the strike price is called volatility curve. If the options market were perfectly described by the Black-Scholes model, the implied volatility would be independent of the strike price and thus the volatility curve would be a at horizontal line. LÄS MER