Multi-Feature Fusion-Guided Multiscale Bidirectional Attention Networks for Logistics Pallet Segmentation-Reference-Cited by-同舟云学术

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Multi-Feature Fusion-Guided Multiscale Bidirectional Attention Networks for Logistics Pallet Segmentation

Published:2022 Issue:3 Volume:131 Page:1539-1555
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Cai Weiwei,Song Yaping,Duan Huan,Xia Zhenwei,Wei Zhanguo

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v131n3/47402/pdf

Reference39 articles.

1. A demand-driven logistics concept for the fully automated rail system NBP;Dangelmaier,2001

2. An emergency logistics distribution approach for quick response to urgent relief demand in disasters;Sheu;Transportation Research Part E: Logistics and Transportation Review,2007

3. Application of agile methods in traditional logistics companies and logistics startups: Results from a German delphi study;Zielske;Journal of Systems and Software,2021

4. Lean thinking to foster the transition from traditional logistics to the physical internet;Rodríguez Cornejo;Sustainability,2020

5. SMART logistics chain;Kawa,2012

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