Sökning: "change detection"
Visar resultat 11 - 15 av 368 uppsatser innehållade orden change detection.
11. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. LÄS MER
12. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. LÄS MER
13. Visual Bird's-Eye View Object Detection for Autonomous Driving
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : In the field of autonomous driving a common scenario is to apply deep learningmodels on camera feeds to provide information about the surroundings. A recenttrend is for such vision-based methods to be centralized, in that they fuse imagesfrom all cameras in one big model for a single comprehensive output. LÄS MER
14. A socio-technical review of Natural Gas: Resources, environmental and political aspects
Master-uppsats, Högskolan i Gävle/Avdelningen för byggnadsteknik, energisystem och miljövetenskapSammanfattning : This report gives a general overview of the natural gas resources in the world, along with its importance as a source of producing energy, and technical uses. It also draws attention to the political issues raised by natural gas exploitation and the steps being taken to address them. LÄS MER
15. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. LÄS MER