Essays about: "Datagenerering"

Showing result 1 - 5 of 11 essays containing the word Datagenerering.

  1. 1. Soft sensor for snow density measurements

    University essay from Mittuniversitetet/Institutionen för elektronikkonstruktion

    Author : Filippa Brandt; [2022]
    Keywords : Machine Learning; soft sensor; snow density; linear regression; GPR; neural network; SVM;

    Abstract : The aim of this project was to examine if a machine learning model could be used to predict snow density from six different weather parameters. These were artificially generated snow density, air temperature, ground temperature, relative humidity, windspeed and the snow depth change. READ MORE

  2. 2. Energy-Efficient Private Forecasting on Health Data using SNNs

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Davide Di Matteo; [2022]
    Keywords : Spiking neural networks; differential privacy; synthetic data generation; smart health care; fitness trackers.; Spikande neurala nätverk; differentiell integritet; syntetisk datagenerering; smart hälsovård; träningsspårare.;

    Abstract : Health monitoring devices, such as Fitbit, are gaining popularity both as wellness tools and as a source of information for healthcare decisions. Predicting such wellness goals accurately is critical for the users to make informed lifestyle choices. READ MORE

  3. 3. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sofia Nord; [2021]
    Keywords : Time Series Data Generation; Generative Adversarial Network; Deep Neural Network; Data Augmentation; Synthetic Data Generation; Generering av Tidsseriedata; Generativa Motstridande Nätverk; Djupa Neurala Nätverk; Dataökning; Syntetisk Datagenerering;

    Abstract : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. READ MORE

  4. 4. Privacy-preserving Synthetic Data Generation for Healthcare Planning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ruizhi Yang; [2021]
    Keywords : Synthetic data generation; differential privacy; generative network; GAN; Moments Accountant; Markov modeling.; Syntetisk datagenerering; differentiell integritet; generativt nätverk; GAN; Moments Accountant; Markov -modellering.;

    Abstract : Recently, a variety of machine learning techniques have been applied to different healthcare sectors, and the results appear to be promising. One such sector is healthcare planning, in which patient data is used to produce statistical models for predicting the load on different units of the healthcare system. READ MORE

  5. 5. Neural Network Approaches for Model Predictive Control

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rebecka Winqvist; [2020]
    Keywords : ;

    Abstract : Model Predictive Control (MPC) is an optimization-based paradigm forfeedback control. The MPC relies on a dynamical model to make predictionsfor the future values of the controlled variables of the system. READ MORE