Sökning: "Prediction Interval"

Visar resultat 21 - 25 av 69 uppsatser innehållade orden Prediction Interval.

  1. 21. ORC systems for small scale energy production : Improving the prediction of electricity production of ORC turbines under varying loads

    Master-uppsats, Linköpings universitet/Mekanisk värmeteori och strömningslära

    Författare :Kristina Pettersson; [2021]
    Nyckelord :;

    Sammanfattning : In order to have a sustainable, resource-efficient energy system and no net emissions of greenhouse gases by 2050, energy efficiency is one important aspect to reach this goal and develop a long-term sustainable energy system. As part of a solution to increase energy efficiency in society, Organic Rankine Cycle (ORC) systems can have a far reaching effect by utilizing low-grade heat to produce electricity. LÄS MER

  3. 22. Road-traffic accident prediction model : Predicting the Number of Casualties

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Jemal Ahmed Andeta; [2021]
    Nyckelord :Road traffic accident; Accident Casualties; Gradient Boosting; Extreme Learning Machines; Prediction Interval;

    Sammanfattning : Efficient and effective road traffic prediction and management techniques are crucial in intelligent transportation systems. It can positively influence road advancement, safety enhancement, regulation formulation, and route planning to save living things in advance from road traffic accidents. LÄS MER

  4. 23. Combining scientific computing and machine learning techniques to model longitudinal outcomes in clinical trials.

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Harshavardhan Subramanian; [2021]
    Nyckelord :Bootstrap sampling; Cubic spline interpolation; Sparse regression; SINDy; Bayesian inference; Mechanistic Modeling; Scientific computing;

    Sammanfattning : Scientific machine learning (SciML) is a new branch of AI research at the edge of scientific computing (Sci) and machine learning (ML). It deals with efficient amalgamation of data-driven algorithms along with scientific computing to discover the dynamics of the time-evolving process. LÄS MER

  5. 24. Kostnadskalkylering under osäkerhet inom manuell produktion

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Andreas Norin; Joakim Engström; [2021]
    Nyckelord :;

    Sammanfattning : The purpose of this paper is to look at costs uncertainties that develop as a result of the human aspect in manual manufacturing within the food industry. The study's technique of choice was to map activities using a value stream analysis (VSM) and then utilize the information to calculate costs. LÄS MER

  7. 25. Empirisk bestämning av nollföljdsimpedans hos transformatorer med utdragen deltalindning

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

    Författare :Carmen Dahlin; [2020]
    Nyckelord :;

    Sammanfattning : The main goal of the thesis is through available data, empirically determine the ratio betweenthe zero and positive-sequence impedance of different transformers with accessible-winding, i.e. when the -winding is loaded. LÄS MER