This important study introduces a powerful imaging approach that enables deep-tissue visualization in gastruloids using two-photon microscopy, combined with spectral imaging and unmixing to achieve ...

Abstract: Multivariate time series prediction has aroused widely research interests during decades. However, the spatial heterogeneity and temporal evolution characteristics bring much challenges for ...

Abstract: Image histograms are useful for revealing the relative proportions of geological components in a scene, but these proportions are commonly obscured by the variability caused by signal fading ...

The interval G =(−1 , 1) turns into a Lie group under the group operation x y : = ( x + y ) ( 1 + x y ) − 1 , x , y ∈ G . This enables definition of the invariant measure d G ( x ) : = ( 1 − x 2 ) − 1 ...

We propose a direct domain adaptation (DDA) approach to enrich the training of supervised neural networks on synthetic data by features from real-world data. The process involves a series of linear ...

Laboratory of Enhanced Oil Recovery of Education Ministry, Northeast Petroleum University, Daqing, China The average pore pressure during oil formation is an important parameter for measuring the ...

Person reidentification rate has become a challenging research topic in the field of computer vision due to the fact that person appearance is easily affected by lighting, posture and perspective. In ...