Novel method for measuring a wear scar using deep learning

Label-free grain segmentation for optical microscopy images via unsupervised image-to-image translation

Optimal Surrogate Models for Predicting the Elastic Moduli of Metal-Organic Frameworks via Multiscale Features

Physics-informed neural network-based surrogate model for a virtual thermal sensor with real-time simulation

A Novel Unsupervised Clustering and Domain Adaptation Framework for Rotating Machinery Fault Diagnosis

Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space

Non-invasive way to diagnose dysphagia by training deep learning model with voice spectrograms

A Physics-informed and data-driven deep learning approach for wave propagation and its scattering characteristics

A unified microstructure segmentation approach via human-in-the-loop machine learning

Data-driven stress and strain curves of the unidirectional composites by deep neural networks with principal component analysis and selective-data augmentation