W
Wahyudi Setiawan
Publications - 24
Citations - 119
Wahyudi Setiawan is an academic researcher. The author has contributed to research in topics: Convolutional neural network & Feature extraction. The author has an hindex of 4, co-authored 19 publications receiving 42 citations.
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Journal ArticleDOI
Convolutional neural network for maize leaf disease image classification
TL;DR: Based on the testing results, the best classification was AlexNet and Support Vector Machine with accuracy, sensitivity, specificity of 93.5%, 95.08%, and 93%, respectively.
Journal ArticleDOI
Layers Modification of Convolutional Neural Network for Pneumonia Detection
Wahyudi Setiawan,Fitri Damayanti +1 more
Journal ArticleDOI
Classification of neovascularization using convolutional neural network model
TL;DR: An image classification system between normal and neovascularization is presented using Convolutional Neural Network model and classification method such as Support Vector Machine, k-Nearest Neighbor, Naive Bayes classifier, Discriminant Analysis, and Decision Tree.
Journal ArticleDOI
Reconfiguration layers of convolutional neural network for fundus patches classification
TL;DR: This study aims to simplify layers of CNN architectures and increased accuracy for fundus patches classification and shows the best accuracy of 93.17% for original data and 99,33% for augmentation data using CNN 31 layers.
Journal ArticleDOI
Maize Leaf Disease Image Classification Using Bag of Features
TL;DR: This study grades maize leaf images from the PlantVillage-Dataset by using the Bag of Features (BOF) method which can generate features automatically, and shows that the validation accuracies of RGB, grayscale, and segmentation images were 82%, 77%, and 85%.