3D convolutional neural network (3D CNN) captures spatial and temporal information on data such as video sequences. However, due to the convolution pooling mechanism, loss that occurs seems unavoidable. To improve visual explanations classification in CNN, we propose two approaches; (i) aggregate layer-wise global local (global–local) discrete gradient using trained 3DResNext network, (ii) impl...

Functional hemispheric asymmetries with respect to global/local processing have been observed more reliably in divided-attention than in selective-attention tasks. This difference has been accounted for by assuming that the hemispheres operate differently in the two tasks. In our study, the alternative hypothesis was tested that the interference between the global and local levels is increased ...

People are unable to perform some, but not all, cognitive tasks while moving their eyes. A possible common denominator among disrupted processes is the use of attention. The present research proposes and tests an attentional suppression hypothesis to evaluate this claim. This hypothesis states that because attention is obligatorily allocated to a to-be-fixated location prior to the onset of a s...

Most encoder-decoder structure based predictions models usually predict trajectory according to the position and historical movement of nearby pedestrians. Their input range (receptive field) is small. They often ignore some specific information such as speed direction pedestrians’ or temporal attention. This leads detailed pedestrian interaction that cannot be obtained. Therefore, we propose a...

Convolutional neural networks (CNNs) have shown impressive results in the hyperspectral image (HSI) classification. However, they still face certain limitations that can impact their effectiveness. The kernels standard convolution fixed spatial sizes and spectral depths, which cannot capture global semantic features from HSI existing methods for extracting multiscale information are inadequate....

the formulation of global health policy is political; and all institutions operating in the global health landscape are political. this is because policies and institutions inevitably represent certain values, reflect particular ideologies, and preferentially serve some interests over others. this may be expressed explicitly and consciously; or implicitly and unconsciously. but it’s important t...