Sökning: "weight prediction"

Visar resultat 1 - 5 av 73 uppsatser innehållade orden weight prediction.

  1. 1. Low-lying zeroes of L-functions attached to modular forms

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Alf Söderberg; [2024-03-22]
    Nyckelord :Number theory; L-functions; Modular forms; Newforms; Low-lying zeros; 1-level density; Density Conjecture; Ratios Conjecture.;

    Sammanfattning : We study the family of L-functions attached to Hecke newforms of weight k and level N and their low-lying zeroes. First, we recall the Density Conjecture of Katz and Sarnak and how it predicts the behaviour of the low-lying zeroes of any natural family of L-functions. LÄS MER

  3. 2. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers

    Master-uppsats, SLU/Dept. of Animal Nutrition and Management

    Författare :Emelie Ahlberg; [2024]
    Nyckelord :body measurement; body weight; growth; heifer; three-dimensional imaging; young stock management;

    Sammanfattning : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. LÄS MER

  4. 3. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

    Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Divya Chedayan; Harry Geo Fernandez; [2023]
    Nyckelord :machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

    Sammanfattning : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). LÄS MER

  5. 4. Produktivitetsprediktion och dess påverkan på hållbarhetsaspekter

    Kandidat-uppsats, KTH/Produktionsutveckling

    Författare :Emin Rustam; Abel Yimam; [2023]
    Nyckelord :;

    Sammanfattning : Detta examensarbete syftar till att undersöka eventuella skillnader mellan produktionsdata och predikterade data som påverkar miljöpåverkan av aluminiumproduktion hos Hydro. Målet är att bedöma hur bra Hydro är på att prediktera data och identifiera förslag på metoder för att förbättra prediktionen. LÄS MER

  7. 5. Wind Turbine Recovery Forecasting using Survival Analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Anton Palets; [2023]
    Nyckelord :Survival analysis; Recovery Forecast; Wind Turbine; Availability Forecast; AFT model; Aalen s model; Cox regression; Cox Proportional Hazards; Variation Processes; Mathematics and Statistics;

    Sammanfattning : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. LÄS MER