Essays about: "Sequential capture"
Showing result 1 - 5 of 16 essays containing the words Sequential capture.
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1. 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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2. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE
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3. Critical elements scavenged by secondary gypsum and HFO : Determined by sequential extraction combined with mineralogical studies
University essay from Luleå tekniska universitet/Geovetenskap och miljöteknikAbstract : The demand for metals is great for the purpose of developing green technologies, and EU has listed 30 metals and minerals that are of critical importance for the maintenance and evolving of today’s society, so called critical materials. However, mining of raw materials generates mine waste which can have adverse effect on human health, ecosystems, and surrounding areas. READ MORE
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4. Per- and Polyfluoroalkyl Substance (PFAS) Emissions from Recycling Processes of Lithium-Ion Batteries
University essay from Uppsala universitet/StrukturkemiAbstract : The lithium-ion battery (LIB) recycling industry is currently under development to improve the yields for critical metals. However, the organic components of LIBs must also be handled, which may result in harmful chemical emissions as by-products. READ MORE
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5. Deep learning models as decision support in venture capital investments : Temporal representations in employee growth forecasting of startup companies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Venture capital investors are constantly exposed to high levels of risk in investment scenarios. To lower that risks, various decision support tools can be exploited, such as machine learning models aimed at predicting startup success. READ MORE