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Found 1 from your keywords: author=Sinaga, Archie Petrus H...
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KLASIFIKASI JENIS BAKTERI CITRA MIKROSKOPIS MENGGUNAKAN CONVOLUTIONAL NEURAL …
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Sinaga, Archie Petrus Hamonangan

Identifying bacteria traditionally takes 24–72 hours and is prone to human error. With bacterial infections and antimicrobial resistance causing over 1 million deaths annually, faster and more accurate methods are urgently needed. This study compares two deep learning models, ResNet-50 (a classic CNN) and ConvNeXt-Tiny (a modern CNN) for classifying microscopic bacteria images using the DIBaS…

Edition
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ISBN/ISSN
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Collation
xvi, 108 hlm.; ilus.; 29 cm
Series Title
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Call Number
T1955792026