Essays about: "dynamic time warping dtw"
Showing result 1 - 5 of 12 essays containing the words dynamic time warping dtw.
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1. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. LSTM Feature Engineering Through Time Series Similarity Embedding
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. READ MORE
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3. Traffic Prediction From Temporal Graphs Using Representation Learning
University essay from KTH/Matematisk statistikAbstract : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. READ MORE
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4. Time-series Generative Adversarial Networks for Telecommunications Data Augmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Time- series Generative Adversarial Networks (TimeGAN) is proposed to overcome the GAN model’s insufficiency in producing synthetic samples that inherit the predictive ability of the original timeseries data. TimeGAN combines the unsupervised adversarial loss in the GAN framework with a supervised loss adopted from an autoregressive model. READ MORE
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5. Time-Series Feature Extraction in Embedded Sensor Processing System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Embedded sensor-based systems mounted with tens or hundreds of sensors can collect enormous time-series data, while the data analysis on those time-series is commonly conducted on the remote server-side. With the development of microprocessors, there have been increasing demands to move the analysis process to the local embedded systems. READ MORE
