Essays about: "time series processing"
Showing result 1 - 5 of 123 essays containing the words time series processing.
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1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. READ MORE
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2. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning
University essay from KTH/Matematik (Avd.)Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE
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3. Big Data and Analytics with Driving Data : Implementation and Analysis of Data Pipeline and Data Processing Resources
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis project was conducted in cooperation with Zenseact for the purpose of investigating the possible usage of Google BigQuery and its capabilities to store and provide insights of large time-series data. An end-to-end data pipeline was built to facilitate the movement of data from Zenseact's local servers and ingestion into BigQuery. READ MORE
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4. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE
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5. 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