Sökning: "time series classification"
Visar resultat 16 - 20 av 136 uppsatser innehållade orden time series classification.
16. Forecasting Visitors in Smart Building Environments : Modeling and estimation of the number of guests using SARIMAX
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Time series modeling is a commonly used approach in exchange for studying and analyzing the data to support decision-making in companies based on historical data and thereby help them to save costs. This work introduces a forecasting framework that utilizes a seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model to forecast the number of people expected to enter a building within a short period. LÄS MER
17. Radio Environment Classification
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : This thesis has looked into the possibility of classifying radio environment scenarios based on data received in base stations. It was done in order to improve forecasting of electrical output in these base stations. LÄS MER
18. Computation models for audiovisual attention decoding
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : When being in a noisy environment, a normal hearing person can manage to sort out background noise and focus on the attended source. This is something that a person with impaired hearing will struggle with, even when wearing a hearing aid. LÄS MER
19. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. LÄS MER
20. Vibration-Based Terrain Classification for an Autonomous Truck
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. LÄS MER