A hybrid ensemble learning-based prediction model to minimise delay in air cargo transport using bagging and stacking-Reference-Cited by-同舟云学术

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A hybrid ensemble learning-based prediction model to minimise delay in air cargo transport using bagging and stacking

Published:2021-12-24 Issue: Volume: Page:1-17
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Sahoo Rosalin¹,Pasayat Ajit Kumar¹,Bhowmick Bhaskar¹,Fernandes Kiran²,Tiwari Manoj Kumar³⁴

Affiliation:

1. Rajendra Mishra School of Engineering Entrepreneurship, Indian Institute of Technology, Kharagpur, India

2. Durham University Business School, Durham, UK

3. Industrial and Systems Engineering, Indian Institute of Technology, Kharagpur, India

4. National Institute of Industrial Engineering (NITIE), Mumbai, India

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.2013563

Reference48 articles.

1. A-Stacking and A-Bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection

2. Towards freight transport system unification: reviewing and combining the advancements in the physical internet and synchromodal transport research

3. Dynamic routing of time-sensitive air cargo using real-time information

4. Time series classification based on multi-feature dictionary representation and ensemble learning

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