Sentiment Analysis can help to extract knowledge related to opinions and emotions from
user generated text information. It can be applied in medical field for patients monitoring …

We introduce multi-lane capsule networks (MLCN), which are a separable and resource
efficient organization of capsule networks (CapsNet) that allows parallel processing while …

Neural networks designed for the task of classification have become a commodity in recent
years. Many works target the development of better networks, which results in a …

A capsule is a collection of neurons which represents different variants of a pattern in the
network. The routing scheme ensures only certain capsules who resemble lower …

Image processing is a key to many automation problems. CapsNet are recent important
contribution of Machine Learning field towards Image Processing task. In very short time …

There can be significant uncertainty when identifying cervical lymph node (LN) metastases
in patients with oropharyngeal squamous cell carcinoma (OPSCC) despite the use of …

Purpose To accurately distinguish benign from malignant pulmonary nodules with CT based
on partial structures of 3D U-Net integrated with Capsule Networks (CapNets) and provide a …

To eliminate the concerns of cold-start and scalability within the filtering, collaborative
recommendation system for a hotel under the ranking list for the customer; this study …

As a vector transmission network structure, the capsule neural network has been one of the
research hotspots in deep learning since it was proposed in 2017. In this paper, the latest …

Capsule networks are a recently developed class of neural networks that potentially address
some of the deficiencies with traditional convolutional neural networks. By replacing the …