Essays about: "Petter Lind"

Found 3 essays containing the words Petter Lind.

  1. 1. ASSESSING PREDICTION CONDITIONS ANDSEQUENTIAL CLASSIFICATION IN ICU SEPSISPREDICTION

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Petter Lind; [2023]
    Keywords : Sepsis Prediction; Sequential Prediction; Conditional Predictions; XGBoost;

    Abstract : Patients admitted to intensive care units (ICUs) often have a higher risk of sepsis due to weakened immune systems. Early sepsis diagnosis is crucial for timely treatment, emphasizing the need to improve the predictive capabilities of sepsis prediction models. READ MORE

  3. 2. A comparative study of Neural Network Forecasting models on the M4 competition data

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Markus Ridhagen; Petter Lind; [2021]
    Keywords : Time series analysis; M4; neural network; NN; artificial neural network; ANN; feedforward neural network; FNN; multilayer perceptron; MLP; recurrent neural network; RNN; long short-term memory; LSTM;

    Abstract : The development of machine learning research has provided statistical innovations and further developments within the field of time series analysis. This study seeks to investigate two different approaches on artificial neural network models based on different learning techniques, and answering how well the neural network approach compares with a basic autoregressive approach, as well as how the artificial neural network models compare to each other. READ MORE

  4. 3. A finite element material modelingtechnique for the hysteretic behaviour of reinforced rubber

    University essay from KTH/Hållfasthetslära (Avd.)

    Author : Petter Lind; [2017]
    Keywords : ;

    Abstract : Reinforced rubber is thanks to its elastic and dissipative properties found in industrialapplications such as isolators, flexible joints and tires. Its dissipative propertied comes from material related losses which have the effect that energy invested when deforming the material is not retained when returning it back to its initial state. READ MORE