Notations and definitions used in the algorithm.

<div><p>Classification of plastic materials based on spectroscopic data is a very crucial task in a variety of applications, including automated recycling, environmental monitoring, quality control in manufacturing, quality control of products, and analysis of complex material properties...

Full description

Saved in:

Bibliographic Details
Main Author:	Nazym Alimbekova (22766158) (author)
Other Authors:	Hari Mohan Rai (22766161) (author), Tursinbay Turymbetov (22766164) (author), Ainur Zhumadillayeva (22766167) (author)
Published:	2025
Subjects:	Cell Biology Biotechnology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> classification vgg16 ), one standard normal variate separating plastic types plastic material classification parameters like absorbance multiplicative scatter correction including automated recycling hybridized attention mechanism head neural network gated recurrent unit experimented various state ensure regulatory compliance digital light processing 900 &# 8211 1700 &# 8201 model &# 8217 spectroscopic classification domain spectrally similar materials plastic materials based complex material properties 28 %, along metrics including accuracy achieve higher accuracy pet vs others improved detection result consistently high precision art techniques across organized spectral data three stage materials proposed hattffnn model proposed model spectroscopic data spectral data complex cases 32 %, stage 3 stage 2 stage 1 term memory results confirm quality control prone approach msc ). less error gru ). golay filter f1 score evm ). environmental monitoring
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Notations and definitions used in the algorithm.

Similar Items