Deep learning, which is a subfield of machine learning, has opened a new era for the
development of neural networks. The auto-encoder is a key component of deep structure …

Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social
engineering attacks where an attacker deceives users by sending fake messages using …

Existing communication networks have inherent limitations in translation theory and adapt to
address the complexity of repairing new remote applications at the highest possible level …

Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …

Due to the abundant marine resources, smart ocean has attracted much attention of the
government, industry, and academy. The Internet-of-Things (IoT) architectures for smart …

In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the
channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) …

Recently, end-to-end deep learning (E2EDL) has been proposed for communication
systems to improve the overall performance of systems. In the domain of optical fiber …

This paper studies the problem of cooperative searching for dynamical moving targets by
multiple unmanned aerial vehicles (UAVs). The environmental information possessed by …

In this article, we study an energy sustainable Internet-of-Underwater Things (IoUT) network
with tidal energy harvesting. Specifically, an analytical model is first developed to analyze …