Essays about: "Global Forecasting Model"
Showing result 1 - 5 of 50 essays containing the words Global Forecasting Model.
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1. Forecasting With Feature-Based Time Series Clustering
University essay from Jönköping University/Tekniska HögskolanAbstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE
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2. Modelling the Water Table in a Bog
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Over the past five years, an ongoing study at INES, Lund University, have examined the encroachment of trees and vegetation into a bog ecosystem in northern Scania, Sweden. While several factors have been identified as contributing to this ecological transformation, including, nutrient availability, and climate, the hydrological aspect remains a key area of investigation. READ MORE
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3. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification
University essay from Uppsala universitet/Matematiska institutionenAbstract : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. READ MORE
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4. Mesoscale precipitation systems in the Tibetan Plateau region as represented by global reanalysis, regional downscaling and satellite data between 2001 - 2016
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : The Tibetan Plateau (TP) is one of the world’s most important water towers. Convective precipitation systems play an important role by providing freshwater for the highly densely populated downstream regions, but they can also cause hazardous floods. READ MORE
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5. Predicting corporate financial distress- A deep neural network approach
University essay from Göteborgs universitet/Graduate SchoolAbstract : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. READ MORE