Essays about: "time series analysis"
Showing result 36 - 40 of 798 essays containing the words time series analysis.
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36. Causal Discovery for Time Series : Based on Continuous Optimization
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Causal discovery is an important field of study that seeks to understand the underlying relationships between variables in a system. The goal of causal discovery is to discover the causal relationships from observational data and determine the direction of influence between variables. READ MORE
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37. Exploring time series analysis techniques on long-term temperature data
University essay from Karlstads universitet/Handelshögskolan (from 2013)Abstract : .... READ MORE
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38. Status Mapping of tank to grave management of Low-GWP refrigerants.
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Refrigeration plays a vital role today in various residential, commercial, and industrial processes, requiring refrigerants to facilitate the cooling or heating processes. Over time, refrigerants have undergone significant changes to meet technological, social, environmental, and economic needs. READ MORE
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39. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis
University essay from KTH/Matematik (Avd.)Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE
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40. Artificial Neural Networks for Financial Time Series Prediction
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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. READ MORE