Essays about: "exponential smoothing"
Showing result 1 - 5 of 26 essays containing the words exponential smoothing.
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1. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
University essay from Göteborgs universitet/Graduate SchoolAbstract : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). READ MORE
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2. Perceptually meaningful time and frequency resolution in applying dialogue enhancement in noisy environments : Dialogue Enhancement research
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Dialogue Enhancement (DE) is a process used in audio delivery systems to improve the clarity, intelligibility, and overall quality of the spoken dialogue in audio content. It is primarily used when dialogue is masked by music, surrounding noise, or other audio sources. READ MORE
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3. Forecasting Monthly Swedish Air Traveler Volumes
University essay from Uppsala universitet/Statistiska institutionenAbstract : In this paper we conduct an out-of-sample forecasting exercise for monthly Swedish air traveler volumes. The models considered are multiplicative seasonal ARIMA, Neural network autoregression, Exponential smoothing, the Prophet model and a Random Walk as a benchmark model. READ MORE
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4. Passenger flow prediction : Finding and developing a sustainable machine learning model for airport passenger flow prediction
University essay from Uppsala universitet/Matematiska institutionenAbstract : There are many outdated routines and processes in today's aviation industry that major airlines lack the motivation to update. While this may not hold any direct security concerns, it creates bottlenecks at checks and high salary costs for otiose airport personnel. READ MORE
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5. Predicting Workforce in Healthcare : Using Machine Learning Algorithms, Statistical Methods and Swedish Healthcare Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Denna studie undersöker användningen av maskininlärningsmodeller för att predicera arbetskraftstrender inom hälso- och sjukvården i Sverige. Med hjälp av en linjär regressionmodell, en Gradient Boosting Regressor-modell och en Exponential Smoothing-modell syftar forskningen för detta arbete till att ge viktiga insikter för underlaget till makroekonomiska överväganden och att ge en djupare förståelse av Beveridge-kurvan i ett sammanhang relaterat till hälso- och sjukvårdssektorn. READ MORE