Sökning: "Cost Predictions."

Visar resultat 21 - 25 av 167 uppsatser innehållade orden Cost Predictions..

  1. 21. Testing aerosol vertical profiling methods with portable instruments on unmanned and manned aircraft

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Ellen Grace Soroka; [2023]
    Nyckelord :Physical Geography; Ecosystem Analysis; Aerosols; Vertical Profile; Black Carbon; PM2.5; Nanoparticles; UAV; Drone; Master degree thesis; 30 credits in Atmospheric Science Biogeochemical Cycles; Earth and Environmental Sciences;

    Sammanfattning : This thesis employed several portable sensors on board an unmanned aerial vehicle (UAV) and manned aircraft in order to test new methods of measuring vertical profiles of aerosol particles and contribute to knowledge of aerosol distributions in the atmosphere. More data in this area is required to improve atmospheric modelling and future climate scenarios. LÄS MER

  2. 22. Sequential Machine Learning in Material Science

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Victor Bellander; [2023]
    Nyckelord :Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Sammanfattning : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. LÄS MER

  3. 23. Estimation of flood risk and cost-effective mitigations : A case study in Tierp

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Anton Blomqvist; Stephanie The; [2023]
    Nyckelord :Flood risk assessment; EAD; CADSS; MIKE21;

    Sammanfattning : Climate change is predicted to alter the rainfall patterns in the future, and extreme rain events with large rainfall volumes will become more frequent and intense which increases the flood risk. A clear trend can be seen, where more and more people decide to relocate from rural to urban areas. LÄS MER

  4. 24. Relative or Discounted Cash Flow Valuation on the Fifty Largest US-Based Corporations on Nasdaq : Which of these valuation methods provides the most accurate valuation forecast?

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för management (MAN)

    Författare :Marcus Öhrner; Otto Öhman; [2023]
    Nyckelord :Discounted Cash Flow; Dividend Discount Model; Earnings Before Interest and Taxes; Earnings Before Interest; Taxes; Depreciation and Amortization; Enterprise Value-to-Earnings Before Interest; Depreciation; and Amortization ratio; Free Cash Flow to Firm; Free Cash Flow to Equity; Mean Absolute Error; Price-to-Earnings Ratio; PricewaterhouseCoopers; Riskless Rate; Root Mean Square Error; Return on Capital; United States; Weighted Average Cost of Capital;

    Sammanfattning : The topic of this Bachelor Thesis is “Which of these valuation methods provides the most accurate valuation forecast”. Assuming that the year is 2020, the goal of this thesis is to forecast the future stock prices of the fifty largest US-based companies on the Nasdaq stock exchange for 2021 and 2022. LÄS MER

  5. 25. Benchmarking Machine Learning Methods for Peptide Activity Predictions

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Boel Knutson; Lida Meskini Moudi; [2022-10-14]
    Nyckelord :Drug discovery; peptide; classification; molecular representation; Z-scales; pseudo amino acid composition; one-hot representation; random forests; support vector machines;

    Sammanfattning : One of the main challenges in the drug discovery process is to find a suitable compound for further analysis. The compound must affect the target relevant for the specific disease, while at the same time have desired properties to make it a safe and efficient drug candidate. LÄS MER