As a result of the advancement in the fourth industrial revolution and communication
technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet …

As a special type of transformer, vision transformers (ViTs) can be used for various computer
vision (CV) applications. Convolutional neural networks (CNNs) have several potential …

Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …

Objective. With climatic instability, various ecological disturbances, and human actions
threaten the existence of various endangered wildlife species. Therefore, an up-to-date …

Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …

Recent studies state that, for a person with autism spectrum disorder, learning and
improvement is often seen in environments where technological tools are involved. A robot …

Background and objectives: Valvular heart diseases (VHDs) are one of the dominant causes
of cardiovascular abnormalities that have been associated with high mortality rates globally …

The paper presents an efficient and robust data-driven deep learning (DL) computational
framework developed for linear continuum elasticity problems. The methodology is based on …

Current work presents an efficient data-driven Physics Informed Neural Networks (PINNs)
computational framework for the solution of elastoplastic solid mechanics. To incorporate …

In the present work, we propose a novel method utilizing only a decoder for generation of
pseudo-examples, which has shown great success in image classification tasks. The …