Iron Ore Information Extraction Based on CNN-LSTM Composite Deep Learning Model

Iron Ore Information Extraction Based on CNN-LSTM Composite Deep Learning Model

In the mining, processing, and use of minerals, iron ore information identification is crucial. Traditional determination techniques are always accompanied by problems including lengthy experiment cycles, poor accuracy, exorbitant expenses, and significant workloads. In contrast, with the use of dat...

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Bibliographic Details
Main Authors: Haili Chen, Mengxiang Xia, Yaping Zhang, Ruonan Zhao, Bingran Song, Yang Bai
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Hyperspectral
CNN-LSTM
magnetite
particle size
water content
Online Access:https://ieeexplore.ieee.org/document/10902384/
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https://ieeexplore.ieee.org/document/10902384/

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