Browsing: Data Augmentation

This article discusses the use of machine learning to predict process defects in additive manufacturing. The authors propose a data augmentation technique called Mixup…

This article discusses the use of deep neural networks (DNNs) and a novel data augmentation method based on generative adversarial networks (GANs) to improve…

Machine translation is a critical area within natural language processing that focuses on developing algorithms to automatically translate text from one language to another.…

This article discusses the use of deep learning techniques in materials synthesis with physical vapor deposition techniques. The study uses a small dataset of…

Applications of GANs GANs have found widespread use in various industries, including image generation, text-to-image translation, and video generation. They have also been used…

This article discusses the use of a deep learning model to detect idiopathic osteosclerosis (IO) in dental panoramic radiographs. The model showed high accuracy…

Generative AI, also known as generative adversarial networks (GANs), is a cutting-edge technology that has found significant applications in the field of autonomous vehicles.…

Machine learning anti-patterns are common mistakes made in the development or application of ML models that can lead to poor performance, biases, overfitting, or…

This Special Issue focuses on the most recent advances in the models, algorithms, theories, and applications of Graph Machine Learning (GML), both in academic…

This Special Issue aims to highlight the state-of-the-art techniques used for machine health monitoring and fault diagnosis, especially for intelligent fault diagnosis algorithm development,…