Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms
Abstract Background The subtle differences between edible and toxic mushroom species make classification difficult. Traditional methods often result in errors which led to misclassifications and conventional machine learning models often struggle in feature extraction due to subtle differences in mu...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Springer
2025-06-01
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| سلاسل: | International Journal of Computational Intelligence Systems |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/s44196-025-00871-y |
| الوسوم: |
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