Nature

Explainable deep unsupervised learning for flood monitoring and anomaly detection using multivariate DWLR sensors

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

Improving seismic fault detection through fault-balanced patch extraction and deep learning networks (UNet, Efficient-UNet, and VGG19-UNet)

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
Tech Xplore

Short training helps people spot AI faces in the battle against deepfake fraud

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
Purdue University

Outcomes and Objectives

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...