In connexion with the effect of the self-similar characteristic of satellite network service traffic on queueing performance, a prediction model with optimised triple exponential smoothing is first ...

The paper offers up 13 areas where machine learning can be deployed, including energy production, CO 2 removal, education, solar geoengineering, and finance. Within these fields, the possibilities ...

The discounted cash flow model -- often abbreviated as the DCF model -- certainly is not a perfect valuation tool, but it does help to give an idea of what a company is worth.

An essential component of a comprehensive, real-time control center for power systems is a method for the calculation of short-term load forecasts. This paper explores the use of general exponential ...

A hypothesis concerning the exponential buildup of polyelectrolyte multilayer films prepared by layer-by-layer assembly has become widely accepted in the scientific community. This model was first ...

Overview This repository contains a PyTorch implementation of a pose refinement model designed to take a sequence of noisy 3D human joint positions and output a denoised, temporally smooth, and ...

Although the tube theory is successful in describing entangled polymers qualitatively, a more quantitative description requires precise and consistent definitions of its parameters. Here we ...

A time series model to predict weekly sales of Walmart data consisting of 45 stores located in different regions including store information and monthly sales using ARIMA and Exponential Smoothing.