A research team at POSTECH has developed a novel multidimensional sampling theory to overcome the limitations of flat optics.

However, the information available to human perception is continuous ... own segment boundaries were applied to the corresponding moments in time from the passive viewing fMRI data, using event ...

This important study provides new evidence on the role of norepinephrine (NE) release in the hippocampus in response to environmental transitions (event boundaries), providing a potential link between ...

But given its track record of continuous improvement to ... is another way of physically safeguarding your data with an offsite, or at least physically discrete copy. FTP can be used for offsite ...

EQ.4: translational motion only in direction given by the VID. Movement on plane normal to the vector is permitted, EQ.-4: Same as 4, except translation on the plane normal to the vector is NOT ...

Other factors included the significant fall across the site, and the 'BAL-40' bushfire rating, which has significant conditions, particularly regarding setbacks from the east and west boundaries.

Clustering is an unsupervised learning technique widely used in the field of data mining and analysis. Clustering encompasses many specific methods, among which the K-means algorithm maintains the ...

CFD modelling is apposite for minimally-invasive patient assessment. Patient-specific (incorporating data unique to the individual) and multi-scale (combining models of different length- and ...

The increasing complexity of deep neural networks (DNN) and their proliferating applications in embedded computing have pushed conventional architectures and CMOS technologies to their limits (Shukla ...