Internet of underwater things and big marine data analytics—a comprehensive survey
The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …
developed for connecting underwater objects in maritime and underwater environments …
Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Deep learning for security in digital twins of cooperative intelligent transportation systems
The purpose is to solve the security problems of the Cooperative Intelligent Transportation
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
Deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare
Z Lv, Z Yu, S Xie, A Alamri - ACM Transactions on Multimedia Computing …, 2022 - dl.acm.org
Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …
LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
[HTML][HTML] Water quality prediction using artificial intelligence algorithms
THH Aldhyani, M Al-Yaari, H Alkahtani… - Applied Bionics and …, 2020 - hindawi.com
During the last years, water quality has been threatened by various pollutants. Therefore,
modeling and predicting water quality have become very important in controlling water …
modeling and predicting water quality have become very important in controlling water …
Complex-valued networks for automatic modulation classification
Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …
classification (AMC). However, most recent DL based AMC works are based on real-valued …
Machine learning inspired sound-based amateur drone detection for public safety applications
MZ Anwar, Z Kaleem… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, popularity of unmanned air vehicles enormously increased due to their
autonomous moving capability and applications in various domains. This also results in …
autonomous moving capability and applications in various domains. This also results in …
Behavioral modeling and linearization of wideband RF power amplifiers using BiLSTM networks for 5G wireless systems
Characterization and linearization of RF power amplifiers (PAs) are key issues of fifth-
generation wireless communication systems, especially when high peak-to-average ratio …
generation wireless communication systems, especially when high peak-to-average ratio …