To recognize a target object, the brain implements strategies which involve a combination of
externally sensory-driven and internally task-driven mechanisms. While several studies …

How does the human brain encode visual object categories? Our understanding of this has
advanced substantially with the development of multivariate decoding analyses. However, …

Humans are remarkably efficent at recognizing objects. Understanding how the brain
performs object 17 recognition has been challenging. Our understanding has been advanced …

In order to develop object recognition algorithms, which can approach human-level
recognition performance, researchers have been studying how the human brain performs …

How does the brain encode information about visual object categories? This question has
been studied for many years using different neural recording techniques including single-cell …

We explore an application of the Physics-Informed Neural Networks (PINNs) in conjunction
with Airy stress functions and Fourier series to find optimal solutions to a few reference …

The application of the Physics-Informed Neural Networks (PINNs) to forward and inverse
analysis of pile–soil interaction problems is presented. The main challenge encountered in the …

Rammed earth (RE) structures are widely used for more sustainable and environment-friendly
buildings. Due to lack of design standards, the engineering decisions often rely on rule-of-…

The overall behavior of rammed earth (RE) as a low embodied energy construction method
can be enhanced by using stabilizers. Several studies have been performed on cement and …

This paper discusses the feasibility of using the impact-echo method (IE method) to evaluate
the deterioration of near-surface mounted carbon fiber reinforced polymer (NSM CFRP) …