Sökning: "dynamic time warping"
Visar resultat 1 - 5 av 29 uppsatser innehållade orden dynamic time warping.
1. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. LÄS MER
2. Classification of Radar Emitters using Semi-Supervised Contrastive Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. LÄS MER
3. An Intersectional Feminist WAP Pt. 2 : A Unique Case Study of the WAP Music Video by Cardi B and Meg Thee Stallion
Master-uppsats, Linköpings universitet/Tema GenusSammanfattning : Cardi B and Meg Thee Stallion have no problem destroying the male gaze to empower women through the female gaze within the WAP music video. They both empower women by creating a whorehouse for women by women as Cardi B and Meg Thee Stallion both play the role as the entertainer and the entertained therefore forcing the viewer into a trance. LÄS MER
4. Segmenting cruise passengers based on their spatio-temporal similarity : an approach utilising dynamic time warping
Kandidat-uppsats, Uppsala universitet/Kulturgeografiska institutionenSammanfattning : The present thesis utilises dynamic time warping and cluster analysis with the aim of discovering different touristic profiles. GPS data of cruise passengers intra-destination movement at the destination of Visby, Gotland, was used in the analysis. LÄS MER
5. 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