Machine learning for international freight transportation management: A comprehensive review-Reference-Cited by-同舟云学术

Machine learning for international freight transportation management: A comprehensive review

Published:2020-03 Issue: Volume:34 Page:100453
ISSN:2210-5395
Container-title:Research in Transportation Business & Management
language:en
Short-container-title:Research in Transportation Business & Management

Author:

Barua Limon,Zou Bo,Zhou Yan

Funder

Argonne National Laboratory

U.S. Department of Energy

Office of Energy Efficiency and Renewable Energy

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Strategy and Management,Tourism, Leisure and Hospitality Management,Economics, Econometrics and Finance (miscellaneous),Transportation,Business and International Management,General Decision Sciences

Reference89 articles.

1. Application of artificial neural networks for short-term prediction of container train flows in direction of China–Europe via Kazakhstan;Abdirassilov;Transport Problems,2018

2. A review on applications of ANN and SVM for building electrical energy consumption forecasting;Ahmad;Renewable and Sustainable Energy Reviews,2014

3. Which method is better for developing freight planning models at seaports—Neural networks or multiple regression?;Al-Deek;Transportation Research Record,2001

4. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sensing,2015

5. A gradient boosting approach to understanding airport runway and taxiway pavement deterioration;Barua;International Journal of Pavement Engineering, in press.,2020

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