Essays about: "long memory"

Showing result 6 - 10 of 517 essays containing the words long memory.

  1. 6. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

    University essay from Göteborgs universitet/Institutionen för geovetenskaper

    Author : David Ek; [2023-01-09]
    Keywords : ;

    Abstract : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. READ MORE

  3. 7. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

    Author : Marie-Ange Stefanos; [2023]
    Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

    Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

  4. 8. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Deepthy Prasad; Swathi Hampapura Sripada; [2023]
    Keywords : multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

    Abstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE

  5. 9. Off-State Stress Effects in AlGaN/GaN HEMTs : Investigation of high-voltage off-state stress impact on performance of and its retention in hybrid-drain ohmic gate AlGaN/GaN HEMTs

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

    Author : Ivan Krsic; [2023]
    Keywords : HEMT; GaN; off-state stress; memory effects; drain leakage current; dynamic RDSon; threshold voltage instabilities; charge redistribution; HEMT; GaN; stress i avslaget tillstånd; minneseffekter; läckströmmen; dynamisk RDSon; instabiliteten hos styrets tröskelspänning; omfördelningen av laddningar;

    Abstract : High electron mobility transistors (HEMTs) realized using AlxGa1-xN/GaN are relatively new technology which is prominent for high-speed and high-power applications. Some of the main problems with this technology were identified as dynamic RDSon, current collapse and threshold voltage instabilities due to the off-state stress. READ MORE

  6. 10. Forecasting With Feature-Based Time Series Clustering

    University essay from Jönköping University/Tekniska Högskolan

    Author : Conrad Tingström; Johan Åkerblom Svensson; [2023]
    Keywords : demand forecasting; time series prediction; time series clustering;

    Abstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE