Refat Mohammed Abdullah Eshaq (2023),Deep Learning Algorithm for Computer Vision with a New Technique and Concept: PIDC-NN for Binary Classification Tasks in a Coal Preparation Plant (MinerNet),TechRxiv,Preprint,https://doi.org/10.36227/techrxiv.2326

This experiment was implemented to collect infrared images of the coal and gangue samples at the temperature of 323.15 K. Additionally, it showed that distinguishing between coal and gangue samples is feasible, although the area, thickness, and surface conditions were changed at a constant temperature during the process of capturing the infrared images. The coal and gangue were randomly collected from the same mine. The random samples had different weights, shapes, areas, thicknesses, and surface conations. 

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[1] Refat Mohammed Abdullah Eshaq, "Coal and Gangue Infrared Images", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/v3m7-dk11. Accessed: May. 18, 2024.
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doi = {10.21227/v3m7-dk11},
url = {http://dx.doi.org/10.21227/v3m7-dk11},
author = {Refat Mohammed Abdullah Eshaq },
publisher = {IEEE Dataport},
title = {Coal and Gangue Infrared Images},
year = {2023} }
TY - DATA
T1 - Coal and Gangue Infrared Images
AU - Refat Mohammed Abdullah Eshaq
PY - 2023
PB - IEEE Dataport
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Refat Mohammed Abdullah Eshaq. (2023). Coal and Gangue Infrared Images. IEEE Dataport. http://dx.doi.org/10.21227/v3m7-dk11
Refat Mohammed Abdullah Eshaq, 2023. Coal and Gangue Infrared Images. Available at: http://dx.doi.org/10.21227/v3m7-dk11.
Refat Mohammed Abdullah Eshaq. (2023). "Coal and Gangue Infrared Images." Web.
1. Refat Mohammed Abdullah Eshaq. Coal and Gangue Infrared Images [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/v3m7-dk11
Refat Mohammed Abdullah Eshaq. "Coal and Gangue Infrared Images." doi: 10.21227/v3m7-dk11