Mapping the brain centers that mediate the sensory-perceptual processing of visceral afferent signals arising from the body (i.e., interoception) is useful both for characterizing normal brain activity and for understanding clinical disorders related to abnormal processing of visceral sensation.Here, we report a novel closed-system, electrohydrosta
In this paper, we propose a new approach for learning node embeddings for weighted undirected networks.We perform a random walk on the network to extract the latent structural information and perform node embedding learning under a similarity-based framework.Unlike previous works, we apply a different criterion to capture the proximity information
An read more aeroelastic metamodel was designed and implemented for prediction of flutter speed and frequency of swept rectangular wings based on experimental data and artificial neural networks (ANN).The ANN is a supervised multilayer perceptron that was trained based on an experimental data set involves flutter characteristics of various cantilev