Sökning: "Long Short Time Memory"

Visar resultat 1 - 5 av 218 uppsatser innehållade orden Long Short Time Memory.

1. 1. Physical Exercise and Fatigue Detection using Machine Learning

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Filip Säterberg; Rasmus Nilsson; [2024]
   Nyckelord :Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

   Sammanfattning : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. LÄS MER

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

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :David Ek; [2023-01-09]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

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

   Sammanfattning : 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. LÄS MER

5. 4. Forecasting With Feature-Based Time Series Clustering

   Master-uppsats, Jönköping University/Tekniska Högskolan

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

   Sammanfattning : 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. LÄS MER

7. 5. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer

   Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

   Författare :Bálint Sándor; Ziping Wan; [2023]
   Nyckelord :;

   Sammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER