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A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon
by
Pokharel, Bishwas
,
Pandey, Deep Shankar
,
Sapkota, Anjuli
,
Yadav, Bhimraj
,
Gurung, Vasanta
,
Adhikari, Mandira Pradhananga
,
Regmi, Lok Nath
,
Adhikari, Nanda Bikram
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Activated Carbon
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Adam Optimizer
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Analytical Models
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Carbon
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Deep Learning
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Dice Coefficient
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Gas Separation
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Ground Truth
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Image Segmentation
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