Abstract Machine vision is widely used in the monitoring of froth flotation plants as a means
to assist control operators on the plant. While these systems have a mature ability to analyse …

The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

Deep image hashing aims to map an input image to compact binary codes by deep neural
network, to enable efficient image retrieval across large-scale dataset. Due to the explosive …

In Shannon theory, semantic aspects of communication were identified but considered
irrelevant to the technical communication problems. Semantic communication (SC) …

With the deregulation of the electric energy industry, accurate electricity price forecasting
(EPF) is increasingly significant to market participants' bidding strategies and uncertainty risk …

The most striking success of deep hashing for large-scale image retrieval benefits from its
powerful discriminative representation of deep learning and the attractive computational …

In the contemporary landscape, where a huge amount of data plays a vital role, the
importance of strong and robust cybersecurity measures has become increasingly …

A cognitive antenna array, which is designed by using deep reinforcement learning (DRL) is
proposed in this article to adapt to the complex electromagnetic environment. Specifically …

The low storage and strong representation capabilities of hash codes for image retrievalhas
made hashing technologies very popular. Several existing deep hashing methods focuson …

Cross-media hashing, which encodes data points from different modalities into a common
Hamming space, has been successfully applied to solve large-scale multimedia retrieval …