Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data
Author:
Funder
Yonsei University
Korea Institute of Industrial Technology
Publisher
Elsevier BV
Reference39 articles.
1. Recycled carbon fibre-reinforced polypropylene thermoplastic composites;Akonda;Compos Part A Appl Sci Manuf,2012
2. Lightweight polypropylene/stainless-steel fiber composite foams with low percolation for efficient electromagnetic interference shielding;Ameli;ACS Appl. Mater. Interfaces,2014
3. Building materials obtained by recycling coal ash and waste drilling fluid and characterization of engineering properties by means of Artificial Neural Networks;Anghelescu;Construct. Build. Mater.,2019
4. Coir fiber reinforced polypropylene composite panel for automotive interior applications;Ayrilmis;Fibers Polym.,2011
5. Reliable evapotranspiration predictions with a probabilistic machine learning framework;Başağaoğlu;Water (Switzerland),2021
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