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Detection of cataract based on image features using convolutional neural networks
Cataract are the highest cause of blindness that there are 32.4 million people experiencing
blindness and as many as 191 million people experiencing visual disabilities in 2010 in the …
blindness and as many as 191 million people experiencing visual disabilities in 2010 in the …
Classification of Papuan Batik Motifs Using Deep Learning and Data Augmentation
Papuan Batik motifs began to appear in 1984 and are only known in general with one
designation, namely Papuan batik, even though these various motifs can be classified …
designation, namely Papuan batik, even though these various motifs can be classified …
Classification of leaves based on the shape of leaves using convolutional neural network methods
RZ Syahrir, EP Wibowo - IAIC Transactions on Sustainable …, 2021 - aptikom-journal.id
One part of the tree, namely the leaves, which grow on the branches, has several types of
leaves consisting of 4 shapes, ranging from circular shapes, elongated shapes, and some …
leaves consisting of 4 shapes, ranging from circular shapes, elongated shapes, and some …
Feature extraction for face recognition using Haar Cascade Classifier
IGSM Diyasa, AH Putra, MRM Ariefwan… - Nusantara Science …, 2022 - nstproceeding.com
This is an era where sophisticated technology can develop rapidly, one of which is
technology in the field of computer vision, such as facial recognition systems that can be …
technology in the field of computer vision, such as facial recognition systems that can be …
Systematic Literature Review on the Application of Convolutional Neural Networks for Rambutan Fruit Classification: Advances, Challenges, and Future Directions
T Azzahra, I Asmita, R Saragih - JOURNAL OF ICT …, 2024 - e-jurnal.rokania.ac.id
Rambutan (Nephelium lappaceum L.) is a tropical fruit widely cultivated in Southeast Asia,
including Indonesia. Manual classification of rambutan types and ripeness levels remains a …
including Indonesia. Manual classification of rambutan types and ripeness levels remains a …
Determining Optimal Architecture of CNN using Genetic Algorithm for Vehicle Classification System
W Wahyono, J Hariyono - IJCCS (Indonesian Journal of …, 2019 - journal.ugm.ac.id
Convolutional neural network is a machine learning that provides a good accura-cy for many
problems in the field of computer vision, such as segmentation, de-tection, recognition, as …
problems in the field of computer vision, such as segmentation, de-tection, recognition, as …