Widi Nugroho, author
Analisis Kinerja Metode Convolutional Neural Network (CNN) Arsitektur ResNet50 dalam Mengklasifikasi Penyakit Retinopathy of Prematurity Pada Citra Fundus Retina = Performance Analysis of the ResNet50 Architecture Convolutional Neural Network (CNN) Method in Classifying Retinopathy of Prematurity Diseases on Retinal Fundus Images
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2023
 UI - Skripsi Membership
Ardanareswari Chaerani, author
Perbandingan Kinerja Metode Convolutional Neural Network-Deep Belief Network (CNN-DBN) dengan Metode Convolutional Neural Network-Support Vector Machine (CNN-SVM) dalam Klasifikasi Glaukoma pada Citra Fundus = Performance Comparison of The Convolutional Neural Network-Deep Belief Network (CNN-DBN) Method with The Convolutional Neural Network-Support Vector Machine (CNN-SVM) Method for Classifying Glaucoma on Fundus Image
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2021
 UI - Skripsi Membership
Raven Ginola Imanuel, author
Klasifikasi Disfungsi Kelenjar Meibom pada Penyakit Mata Kering Menggunakan Metode Convolutional Neural Network dengan Arsitektur AlexNet = Classification of Meibomian Gland Dysfunction in Dry Eye Disease Using Convolutional Neural Network Method with AlexNet Architecture
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2023
 UI - Skripsi Membership
Rezki Hadiansah, author
Analisis Kinerja Long-short Term Memory -Convolutional Neural Network (LSTM-CNN) pada Permasalahan Lifelong Learning Analisis Sentimen Berbahasa Indonesia = Analysis of Performance Long Short Term Memory - Convolutional Neural Network for Lifelong Learning on the Problems of Sentiment Analysis in Indonesian
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2020
 UI - Skripsi Membership
Amin Nur Ambarwati, author
Analisis performa metode convolutional neural network (CNN) pada fungsi aktivasi ReLU dan mish dalam mendeteksi penyakit katarak pada data citra fundus = Performance analysis of convolutional neural network (CNN) methods with ReLU and mish activation functions in detecting cataract disease in fundus image.
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2021
 UI - Skripsi Membership
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