Profit prediction using ARIMA, SARIMA and LSTM models in time series forecasting: A comparison
Time series forecasting using historical data is significantly important nowadays. Many fields
such as finance, industries, healthcare, and meteorology use it. Profit analysis using …
such as finance, industries, healthcare, and meteorology use it. Profit analysis using …
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting
J Wang, Y Shao, H Jiang, Y An - Expert Systems with Applications, 2024 - Elsevier
Container transport is the most environmentally friendly and sustainable way to transport
bulk cargo currently. The accurate prediction of container throughput is of great significance …
bulk cargo currently. The accurate prediction of container throughput is of great significance …
Forecasting national port cargo throughput movement using autoregressive models
Port services demand planning plays an important role in port capacity planning and
management. It enables ports to anticipate, prepare for, and respond to changes in demand …
management. It enables ports to anticipate, prepare for, and respond to changes in demand …
Predictive modelling in the ship** industry: analysis from supply and demand sides
Purpose Maritime transportation plays an important role in facilitating both the global and
regional merchandise trade, where accurate trend prediction is crucial in assisting decision …
regional merchandise trade, where accurate trend prediction is crucial in assisting decision …
JKSCI
GTUD Learning - Journal of The Korea Society of Computer and …, 2023 - dbpia.co.kr
우리나라 수출의 97.5%, 수입의 87.2% 가 해상운송으로 이뤄지며 항만이 한국 경제의 중요한
구성요소이다. 이러한 항만의 효율적인 운영을 위해서는 항만 물동량의 단기 예측을 통해 …
구성요소이다. 이러한 항만의 효율적인 운영을 위해서는 항만 물동량의 단기 예측을 통해 …