Hypervelocity stars have, since the 1920s, been an important tool that allows astronomers to study the properties of the ...
Scientists in China have performed an experiment first proposed by Albert Einstein almost a century ago when he sought to ...
The determination of aquifers transmissivity (T) and storage coefficient (S) is based on the observation of aquifer's response to a given stimulation. In order to characterize hydrogeological systems, ...
Convolution is a remarkable property of the Fourier transform, often cited in the literature as the “faltung theorem”. Convolution is a remarkable property of the Fourier transform, often cited in the ...
van Vliet and colleagues show a useful correlation between internal states of a convolutional neural network (CNN) trained on visual word stimuli with three specific components of evoked MEG ...
Abstract: Fracture weaknesses represent two critical elastic parameters utilized for characterizing fracture properties in naturally fractured reservoirs. Given the intricate seismic attributes ...
ABSTRACT: Deep convolutional neural network (CNN) greatly promotes the automatic segmentation of medical images. However, due to the inherent properties of convolution operations, CNN usually cannot ...
ABSTRACT: Deep convolutional neural network (CNN) greatly promotes the automatic segmentation of medical images. However, due to the inherent properties of convolution operations, CNN usually cannot ...
Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their ...
Potential field data have long been used in geophysical exploration for archeological, mineral, and reservoir targets. For all these targets, the increased search of highly detailed three-dimensional ...
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