Generative adversarial network (GAN) applications on medical image synthesis have the
potential to assist caregivers in deciding a proper chronic wound treatment plan by …

Introduction Photogrammetric surface scans provide a radiation-free option to assess and
classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient …

With the development of deep learning and the advent of CNN (Convolutional Neural
Network), research on image data classification has been actively conducted. However …

In the pursuit of more accurate cancer detection through breast cancer histopathology (BCH)
images, Convolutional Neural Networks (CNNs) have emerged as promising tools …

Deep learning models need large amounts of data for training. In video recognition and
classification, significant advances were achieved with the introduction of new large …

This article presents two robust and efficient systems, they are based on the convolutional
neural networks and the generative adversarial networks. Each one is used as a classifier to …

Smart manufacturing refers to the use of digitalization for improving and automating
manufacturing processes. One use case is artificial intelligence (AI) used in quality control …

딥러닝의 발전과 CNN (Convolutional Neural Network) 의 출현으로 이미지 데이터 분류에
관한 연구가 활발하게 진행되고 있다. 그러나 CNN 분류 모델의 학습에 클래스 분포가 불균형한 …

Risk is the possibility of occurrence of negative or adverse effects that lead exclusively to
damage or loss in a project. The success and failure of a project largely depends upon the …