Sökning: "Long-term memory"
Visar resultat 1 - 5 av 128 uppsatser innehållade orden Long-term memory.
1. ENCOUNTERING AN EMERGENCY VEHICLE
Master-uppsats, Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeSammanfattning : Purpose: This thesis aims to investigate the effectiveness of the Emergency Vehicle Approaching (EVA) warning and training on drivers' behavior when encountering an emergency vehicle in a driving simulator. Theory: Cognitive load theory was adopted as a theoretical framework for this study. LÄS MER
2. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : 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
3. The Effects of Aerobic Exercise on The Neural Basis of Memory Functions in Elderly Individuals : A Systematic Review
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : This systematic review aims to investigate the effects of aerobic exercise on the neuroal basis of memory functions in healthy elderly individuals. The search was conducted in accordance with PRISMA and covered three electronic databases, namely PubMed, Scopus, and Web of Science, for peer-reviewed published, and original research. LÄS MER
4. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. LÄS MER
5. Artificial Neural Networks for Financial Time Series Prediction
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. LÄS MER