Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction-Reference-Cited by-同舟云学术

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Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction

Published:2024-06 Issue: Volume:294 Page:111775
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Özdemir Resul^ORCID,Taşyürek Murat^ORCID,Aslantaş Veysel

Publisher

Elsevier BV

Reference80 articles.

1. Smart logistics based on the internet of things technology: an overview;Ding;Int. J. Logist. Res. Appl.,2021

2. Sustainable last mile delivery on e-commerce market in cities from the perspective of various stakeholders. Literature review;Kiba-Janiak;Sustainable Cities Soc.,2021

3. Data-driven optimization for last-mile delivery;Chu;Complex Intell. Syst.,2021

4. Last-mile delivery concepts: a survey from an operational research perspective;Boysen;Or Spectrum,2021

5. End-to-end prediction of parcel delivery time with deep learning for smart-city applications;de Araujo;IEEE Internet Things J.,2021

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