Sökning: "predicting relationships"

Visar resultat 1 - 5 av 63 uppsatser innehållade orden predicting relationships.

  1. 1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Lisa Linard Pedersen; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. LÄS MER

  2. 2. Driven by Zero Emissions or Paramount Prestige? - Investigating the Coexistence of Environmental Concern and Materialism in Predicting Purchase Intentions of Premium Electric Cars

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Gustav Olofsson; Pontus Winblad; [2023-07-03]
    Nyckelord :Premium Electric Cars; Consumer Intentions; Theory of Planned Behavior; Environmental concern; Materialism; Sustainability Luxury Paradox; SEM Analysis;

    Sammanfattning : As the world embraces sustainability, markets align with the shift and undergo transformations. One of which is the luxury segment, from which the integration of sustainability challenges the theorized paradoxical relationship of the two concepts. LÄS MER

  3. 3. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer

    Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Bálint Sándor; Ziping Wan; [2023]
    Nyckelord :;

    Sammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER

  4. 4. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Henrique Costabile; [2023]
    Nyckelord :;

    Sammanfattning : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. LÄS MER

  5. 5. Can Machine Be a Good Stock Picker?: Bridging the Gap between Fundamental Data and Machine Learning

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

    Författare :Tomoya Narita; Povilas Stankevicius; [2023]
    Nyckelord :Machine Learning; XGBoost; Relative Valuation; Convergence Trade;

    Sammanfattning : We investigate the efficacy of historical accounting data and consensus forecasts for relative valuation of stocks, employing tree-based machine learning methods. We run an XGBoost model for monthly cross-sections of financial and pricing data of US equities from 1984 to 2021. LÄS MER