Fourier neural operator for fluid flow in small-shape 2d simulated porous media dataset
Machine Learning (ML) and/or Deep Learning (DL) methods can be used to predict fluid
flow in porous media, as a suitable replacement for classical numerical approaches. Such …
flow in porous media, as a suitable replacement for classical numerical approaches. Such …
Interpretable Hybrid Multichannel Deep Learning Model for Heart Disease Classification Using 12-leads ECG Signal
An electrocardiogram (ECG) is a non-invasive and cost-effective method for diagnosing
heart disease. However, physicians often face challenges in interpreting ECG. As a result …
heart disease. However, physicians often face challenges in interpreting ECG. As a result …
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process
As the complexity of modern manufacturing technologies increases, traditional trial-and-
error design, which requires iterative and expensive simulations, becomes unreliable and …
error design, which requires iterative and expensive simulations, becomes unreliable and …