Brain tumor recently is considered among the deadliest cancers according to research
statistics and have several categories, based on the different characteristics of the tumor …

Hyperspectral remote sensing/imaging spectroscopy is a novel approach to reaching a
spectrum from all the places of a huge array of spatial places so that several spectral …

Hinton et. al recently published the paper “Dynamic Routing Between Capsules”[20],
proposing a novel neural network architecture. This Capsule Network (CapsNet) …

There has been recent and growing interest in the development and deployment of
autonomous vehicles, encouraged by the empirical successes of powerful artificial …

Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR)
and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks …

The two most generally diagnosed Neurodegenerative diseases are the Alzheimer and
Parkinson diseases. So this paper presents a fully automated early screening system based …

In order to solve the problem of imbalanced and noisy data samples for the fault diagnosis of
rolling bearings, a novel ensemble capsule network (Capsnet) with a convolutional block …

Capsule networks exhibit the potential to enhance computer vision tasks through their
utilization of equivariance for capturing spatial relationships. However, the broader adoption …

Central serous chorioretinopathy (CSCR) is a chorioretinal disorder of the eye characterized
by serous detachment of the neurosensory retina at the posterior pole of the eye. CSCR …

Abstract Capsule Network (CapsNet) achieves great improvements in recognizing pose and
deformation through a novel encoding mode. However, it carries a large number of …