In the traditional remote sensing image recognition, the traditional features (eg, color
features and texture features) cannot fully describe complex images, and the relationships …

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 …

Mitotic count is an important indicator for assessing the invasiveness of breast cancers.
Currently, the number of mitoses is manually counted by pathologists, which is both tedious …

In capsule networks, the routing algorithm connects capsules in consecutive layers,
enabling the upper-level capsules to learn higher-level concepts by combining the concepts …

Several techniques for human activity recognition (HAR) in a smart indoor environment have
been developed and improved along with the rapid advancement of sensor technologies …

Text classification is a significant part of the business world. In the news classification world,
detection of the subject is an important issue that can lead to the recognition of news trends …

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 …

The virtual teaching assistants (VTAs) driven by artificial intelligence (AI) have changed the
human–machine interaction mode of online learning. VTAs provide personalised teaching …

Background Although research on non-coding RNAs (ncRNAs) is a hot topic in life sciences,
the functions of numerous ncRNAs remain unclear. In recent years, researchers have found …

Ship abnormal behavior detection is an essential part of maritime supervision. It can assist
maritime departments to conduct real-time supervision on a certain sea area, avoid ship …