Sökning: "prediction"

Visar resultat 1 - 5 av 1801 uppsatser innehållade ordet prediction.

  1. 1. Do Swedish Firms Pay Their Boards Excessive Compensation? - A study on the economic determinants and effects of excessive board compensation among Swedish firms

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Karin Bengtsson; Erica Wollin Björk; [2019-08-08]
    Nyckelord :Determinants of Board Compensation; Excessive; Chairman; Member; Corporate Governance; Agency Theory; Ownership; Performance; Risk;

    Sammanfattning : MSc in Accounting and Financial Management.... LÄS MER

  2. 2. Election Forecasting in a Multiparty System

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Stefan Lindborg; [2019-01-31]
    Nyckelord :Election forecasting; Polling; Multiparty systems; Dynamic Linear Models; DLM; Kalman filtering; Swedish elections;

    Sammanfattning : This bachelor thesis in statistics covers the subject of election forecasting in a multipartysystem, using polling data, that is data collected to measure party support, and dynamiclinear models (DLMs) with Kalman filtering. In terms of decision-making the outcomeof an election can be thought of as an uncertainty. LÄS MER

  3. 3. Motion Prediction of Surrounding Vehicles in Highway Scenarios With Deep Learning

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

    Författare :Samir Khays; [2019]
    Nyckelord :;

    Sammanfattning : Anticipating the future positions of the surrounding vehicles is a crucial task foran autonomous vehicle in order to drive safely. To foresee complex manoeuvresfor longer time horizons, a framework that relies on high-level properties ofmotion and is able to incorporate, e.g. contextual features, is needed. LÄS MER

  4. 4. Force Prediction and Estimation for Point Absorber Wave Energy Converter

    Uppsats för yrkesexamina på avancerad nivå,

    Författare :Zahra Shahroozi; [2019]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  5. 5. Malignant Melanoma Classification with Deep Learning

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Jakob Kisselgof; [2019]
    Nyckelord :Melanoma classification deep learning;

    Sammanfattning : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. LÄS MER