Essays about: "time series method"
Showing result 1 - 5 of 507 essays containing the words time series method.
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1. The Perception of Corruption in correlation to Homicides : A time-series cross-sectional empirical global study, with specific focus on the Latin American region
University essay from Uppsala universitet/Institutionen för freds- och konfliktforskningAbstract : Most research that has examined the variation in homicide levels has examined their correlation with socioeconomic structural variables. In Latin America however, economic and social development has occurred, but high homicide levels remain, suggesting the involvement of other influencing factors. READ MORE
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2. Time Series Forecasting on Database Storage
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE
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3. Investigating the use of olfactory cues to re-direct African savannah elephant pathways. A potential conflict mitigation tool.
University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskapAbstract : Human-elephant conflict resulting from, for example crop raiding behaviour, poses a significant threat to the conservation of African savannah elephants (Loxodonta africana). These conflicts can lead to fatalities in both humans and elephants. READ MORE
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4. 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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5. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE