A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...

Abstract: Presents new techniques for biosequence classification, with a focus on recognizing E. Coli promoters in DNA. Specifically, given an unlabeled DNA sequence S, we want to determine whether or ...

This project demonstrates how to build, train, and evaluate a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. The implementation leverages TensorFlow and Keras ...

Abstract: Sequence learning from real-time videos is one of the hard challenges to current machine learning technologies and classic neural networks. Since existing supervised learning technologies ...

Discover the official National NAIDOC Education Resources for 2025.

3 School of Health Sciences, Fukushima Medical University, Fukushima, Japan. Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this ...

Hydroxyl radicals (HO•) generated from ultraviolet radiation-activated hydrogen peroxide are highly reactive toward most organic matter and are commonly used to treat wastewater. However, dissolved ...

School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266525, PR China National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse ...