Optimizing degradable plastic density prediction: a coarse-to-fine Deep Neural Network approach

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Optimizing degradable plastic density prediction: a coarse-to-fine Deep Neural Network approach

Density is an important property for the production of high-quality degradable plastics. Density is useful to determine the type of plastic material and to detect physical changes in the plastic material. In this paper, a novel technique for predicting the density of degradable plastics using Deep N...

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Bibliographic Details
Main Authors:	Syamsiah Abu Bakar, Saiful Izzuan Hussain, Mourad, Zirour
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:	http://journalarticle.ukm.my/23655/ http://journalarticle.ukm.my/23655/1/SDD%2017.pdf

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