In this paper, a novel fusion method on the multimodal medical images exploiting convolutional neural network (CNN) and extreme learning ... such as computed tomography (CT), magnetic resonance ...

In this study, we used functional magnetic resonance imaging to identify neural correlates of receiving prosocial ... Our results support the role of the theory of mind network and the visual cortices ...

Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

The brain of humans and other animals is known to contribute to the protection of the body from infections. Past studies have ...

A new international and multidisciplinary study has unveiled a novel framework for understanding the concept of time ...

As part of BD+C's 2025 office roundup, several submissions included adaptive reuse or historical influences. Here are 15 of those projects completed in the past 18 months. Below are 15 of the 40 ...

To tackle these challenges, we propose a novel approach utilizing adaptive neural network-based control methodology. Our method employs neural networks to approximate the low-level controller, thereby ...

This paper proposes a theory-constrained neural network (TCNN), integrating physical significance without compromising accuracy. A theory-guided filter is applied to ensure the interpretability of ...

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South Africa has eight major fibre network operators (FNOs) providing fibre-to-the-home (FTTH) connectivity to roughly 2.4 million households. MyBroadband recently asked the country’s top FNOs ...