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Showing result 1 - 5 of 59 essays matching the above criteria.

  1. 1. Volatility Forecasting - A comparative study of different forecasting models.

    University essay from

    Author : Emil Sturesson; Anton Wennström; [2023-06-29]
    Keywords : Volatility; GARCH; EGARCH; t-GAS; HAR-RV; Realized GARCH; Volatility Forecasting; Volatility Modelling;

    Abstract : This study evaluates the out-of-sample forecasting performance of different volatility mod- els. When applied to XACT OMXS30, we use GARCH(1,1), EGARCH(1,1), and t- GAS(1,1) to forecast squared daily returns while Realized GARCH(1,1) and HAR-RV are used to forecast Realized Variance. READ MORE

  3. 2. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Shuai Shao; [2023]
    Keywords : EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE

  4. 3. Velocity Obstacle method adapted for Dynamic Window Approach

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

    Author : Florian Coissac; [2023]
    Keywords : Autonomous navigation; Local planning; Dynamic obstacle avoidance; ROS; Autonom navigering; Lokal planering; Dynamiskt undvikande av hinder; ROS;

    Abstract : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. READ MORE

  5. 4. Investigating the Estimation of the infection rate and the fraction of infections leading to death in epidemiological simulation

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Jakob Gölén; [2023]
    Keywords : Epidemics; Compartmental Models; Parameter Inference; Synthetic Bootstrap; Infection Rate;

    Abstract : The main goal of this project is to investigate the behaviors of parameters used when modeling an epidemic. A stochastic SIHDRe model is used to simulate how an epidemic evolves over time. READ MORE

  6. 5. Predicting power demand and optimizing energy management for fuel cell battery hybrid construction vehicles

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

    Author : Abhishek Karthikeyan; [2023]
    Keywords : Fuel cell; Construction Vehicle; Energy management; Optimization; Model Predictive Control; Load prediction; Auto-correlation; Bränslecell; Byggfordon; Energihantering; Optimering; Modellförutsägande reglering; Belastningsprediktion; Autokorrelation;

    Abstract : The automotive industry has been actively seeking ways to reduce emissions and combat global warming. While pure battery electric vehicles have shown promise in achieving zero-tailpipe emissions, they face challenges in meeting the energy demands of large construction machines like excavators and wheel loaders, due to the heavy batteries required. READ MORE