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...

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Үндсэн зохиолчид:	Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Springer 2025-06-01
Цуврал:	International Journal of Computational Intelligence Systems
Нөхцлүүд:	DenseNet-121 Modified DenseNet-121 Mushroom classification Deep learning Machine learning Image classification
Онлайн хандалт:	https://doi.org/10.1007/s44196-025-00871-y
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!