Sökning: "F_SCORE"

Visar resultat 1 - 5 av 52 uppsatser innehållade ordet F_SCORE.

  1. 1. A Comparative Study of Facial Recognition Techniques : With focus on low computational power

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Timmy Schenkel; Oliver Ringhage; Nicklas Branding; [2019]
    Nyckelord :Machine Learning; Facial Recognition; Low Computational Power;

    Sammanfattning : Facial recognition is an increasingly popular security measure in scenarios with low computational power, such as phones and Raspberry Pi’s. There are many facial recognition techniques available. The aim is to compare three such techniques in both performance and time metrics. LÄS MER

  2. 2. Load Identification from Aggregated Data using Generative Modeling

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

    Författare :Tanay Rastogi; [2019]
    Nyckelord :;

    Sammanfattning : In the view of an exponential increase in demand for energy, there is a need to come up with a sustainable energy consumption system in residential buildings. Several pieces of research show that this can be achieved by providing real-time energy consumption feedback of each appliance to its residents. LÄS MER

  3. 3. Testing Piotroski's F_SCORE on the U.S. Stock Market

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Xiangyu Mo; Yuzi Wang; [2019]
    Nyckelord :Piotroski; Abnormal Returns; Market Efficiency; U.S. Stock Market;

    Sammanfattning : Piotroski (2000) generates a fundamental investing method built upon F_SCORE to identify financially strong firms. In this paper, we investigate whether Piotroski's simple accounting- based fundamental method could still be applied to the U.S. market throughout 12 years from 2004 to 2015. LÄS MER

  4. 4. Reproducing the state of the art in onset detection using neural networks

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

    Författare :Björn Lindqvist; [2019]
    Nyckelord :;

    Sammanfattning : Great strides have been made in the state of the art performance of musicial onset detection in recent years with better and better detectors being invented at a fast pace. The current top spot is held by Schlüter and Böck, who in 2014 presented a detector based on a convolutional neural network (CNN) that attained an F-score of 90. LÄS MER

  5. 5. Piotroski som investeringsstrategi : Test och utveckling av F_SCORE

    Kandidat-uppsats, Högskolan Kristianstad/Fakulteten för ekonomi; Högskolan Kristianstad/Fakulteten för ekonomi

    Författare :John Johannesson; Jacob Svensson; [2019]
    Nyckelord :Fundamental analysis; value stocks; efficient market hypothesis; Piotroski; F_SCORE; Fundamental analys; värdeaktier; effektiva marknadshypotesen; Piotroski; F_SCORE;

    Sammanfattning : This paper uses a fundamental investment strategy model developed by Piotroski (2000), called F_SCORE. The model uses accounting-based ratios applied for portfolios of high book-to-market firms. The aim of the study is to test the model for the US stock market during the years 1998-2015, as well as to develop it. LÄS MER