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| Format: | Recurso digital |
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Zenodo
2026
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| Online-Zugang: | https://doi.org/10.5281/zenodo.20179673 |
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Inhaltsangabe:
- <p>Official implementation of the framework proposed in the research paper: "Explainable Artificial Intelligence Driven Automatic Characterization and Exploration of Iron Ores using Reflected Light Microscopic Images"</p> <p>Core Components:</p> <ul> <li>Pre-processing pipeline (NLM Denoising, CLAHE, Illumination Correction)</li> <li>Multimodal Feature Fusion (NASNet, Enhanced CapsNet, Improved EfficientNet)</li> <li>Bayesian-optimized Convolutional Autoencoder (CAE) Classifier</li> <li>Interpretability module using Score-CAM</li> </ul> <p>This release provides the full source code and documentation required for experimental reproducibility as requested by the reviewers for The Visual Computer.</p>