Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

In this paper, we propose a wavelet-based frequency attention network (WFANet) and a semi-supervised method named dual domain consistency learning ... along with the large receptive field of dilated ...

This important study shows that the activity of hypothalamic hypocretin/orexin neurons (HONs) correlates with body movement over multiple behaviors. Sophisticated techniques and analyses showcase this ...

However, the transformed domain-based methods may introduce the frequency distortion into the fused image ... of feature maps connected via different types of calculations such as convolution, pooling ...

To address these challenges, we propose a novel HAD method based on spatial-spectral adaptive dual-domain learning ... and low-frequency information from the HSI via the discrete wavelet transform ...

According to the linear time-invariant hypothesis, seismic waves in the convolution do not change over time ... Figures 5A–C show the complete frequency-domain reflection coefficients for the above ...

A detailed breakdown of the pros and cons of registering your domain through your web host, based on my 16 years of building websites. Dianna Gunn built her first WordPress website in 2008.

The Anderson transition is a phase transition that occurs in disordered systems, which entails a shift from a diffusive state ...

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