A research team affiliated with UNIST has made a significant breakthrough in overcoming one of the most persistent challenges ...

Predicts velocity and pressure fields for various Reynolds numbers. Integrates CAE for dimensionality reduction and reconstruction. Uses LSTM to capture temporal dynamics for short-term predictions.

Abstract: With a spurt of progress in deep learning techniques, convolutional neural network-based and transformer-based methods have yielded impressive performance on the hyperspectral image (HSI) ...

Finding breast cancer early allows for more effective treatment and leads to better outcomes. That’s why getting regular mammograms, the screening test designed to detect breast cancer, is so ...

Abstract: Missing values are a common occurrence in industrial datasets, resulting from the multiple sampling rates, sensor malfunctions, and transmission errors, whose presence can significantly ...