Traditional palm oil production methods for evaluating fruit bunches (FFBs) are inefficient,
costly, and have limited coverage. This study evaluates the performance of various YOLO …

Existing research on image-based plant classification has demonstrated high performance
using artificial intelligence algorithms. However, limited camera viewing angles can cause …

VGG, ResNet, and DenseNet are popular convolutional neural network (CNN) designs for
transfer learning (TL), aiding dermatological image processing, particularly in skin cancer …

Pneumonia, a lung infection caused by viral or bacterial agents, poses a significant health
risk by affecting one or both lungs in humans. Accurate diagnosis, particularly in pediatric …

This study describes the creation of a wireless, transportable Holter monitor to improve the
accuracy of cardiac disease diagnosis. The main goal of this study is to develop a low-cost …

Alzheimer's disease research is a pressing concern in the field of neurology and public
health. Alzheimer's disease is a progressive and irreversible neurological disorder [1],[2] …

Pendeteksian pada citra CT-Scans dapat dilakukan dengan menerapkan klasifikasi citra
menggunakan metode yang terdapat pada Convolutional Neural Network (CNN). Arsitektur …

In this study, we investigate deep learning models for an effective and efficient lesion
segmentation in 3D brain diffusion weighted images (DWI). For image segmentation …