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Found 4 from your keywords: subject="Klasifikasi Citra"
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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…

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xvi, 108 hlm.; ilus.; 29 cm
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Call Number
T1955792026
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KOMBINASI ARSITEKTUR DENSENET BOTTLENECK LAYER DAN GATE RECURRENT UNITS (GRU)…
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Karina, Karina

Glaucoma is a chronic eye disease that can lead to blindness. Glaucoma detection can be done by classification using the DenseNet architecture. DenseNet provides good model performance, but often suffers from overfitting. Bottleneck layers can be used to prevent overfitting by reducing the feature dimensions before entering deeper layers. However, reducing the feature dimension may lead to the …

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xii, 74 hlm.; ilus.; 29 cm
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Call Number
T1566662024
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KLASIFIKASI CITRA JENIS BUAH DAN SAYURAN MENGGUNAKAN ALGORITMA YOLOV11
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Azantha, Irvan Malik

Automatic image classification of fruits and vegetables plays a crucial role in enhancing efficiency in the agricultural and retail sectors, yet it faces challenges due to visual complexities such as intra-class variation and inter-class similarity. This research aims to implement and evaluate the effectiveness of the You Only Look Once version 11 (YOLOv11) algorithm, specifically the YOLOv11s-…

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Collation
xvi, 125 hlm.; ilus.; tab.; 29 cm.
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Call Number
T1830452025
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Klasifikasi citra golongan darah menggunakan metode self-organizing maps
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Muhammad Adrezo

Golongan darah sangat berguna untuk transfusi darah karena diperlukan kesamaan golongan darah pendonor dan penerima darah. Golongan darah dapat diklasifikasikan berdasarkan pola citra golongan darah. Klasifikasi golongan darah bukan merupakan hal yang sederhana karena fitur satu citra golongan darah memiliki kemiripan dengan fitur golongan darah yang lain. Selain itu, darah yang sudah di tetesi…

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Collation
xiv, 135 hlm. : ilus.
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