Iron Ore Pellet Size Analysis: A Machine Learning-Based Image Processing Approach-Reference-Cited by-同舟云学术

Iron Ore Pellet Size Analysis: A Machine Learning-Based Image Processing Approach

Published:2023-01 Issue:1 Volume:29 Page:67-79
ISSN:1077-2618
Container-title:IEEE Industry Applications Magazine
language:
Short-container-title:IEEE Ind. Appl. Mag.

Author:

Deo Arya Jyoti¹,Sahoo Animesh²,Behera Santosh Kumar¹^ORCID,Das Debi Prasad¹

Affiliation:

1. Department of Process Engineering and Instrumentation, Council of Scientific and Industrial Research (CSIR)–Institute of Minerals and Materials Technology (IMMT), Bhubaneswar, India

2. Birla Institute of Technology and Science, Goa, Goa, India

Funder

Council for Scientific and Industrial Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/2943/9994075/09963899.pdf?arnumber=9963899

Reference31 articles.

1. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

2. A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices

3. Image-based Method for Measuring Pellet Size Distribution in the Stable Area of Disc Pelletizer

4. Fast dehazing method for improving the image quality in pellet size measurement

5. Statistical Models of EAF Harmonics Developed for Harmonic Estimation Directly From Waveform Samples Using Deep Learning Framework

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