A review on the application of deep learning in system health management
Given the advancements in modern technological capabilities, having an integrated health
management and diagnostic strategy becomes an important part of a system's operational …
management and diagnostic strategy becomes an important part of a system's operational …
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
How machine learning changes the nature of cyberattacks on IoT networks: A survey
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …
life in recent years. However, this development does not only present advantages. Indeed …
Priority-based reserved spectrum allocation by multi-agent through reinforcement learning in cognitive radio network
B Jaishanthi, EN Ganesh, D Sheela - Automatika: časopis za …, 2019 - hrcak.srce.hr
Sažetak Research in cognitive radio networks aims at maximized spectrum utilization by
giving access to increased users with the help of dynamic spectrum allocation policy. The …
giving access to increased users with the help of dynamic spectrum allocation policy. The …
Multiobjective reinforcement learning for cognitive satellite communications using deep neural network ensembles
PVR Ferreira, R Paffenroth… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
Future spacecraft communication subsystems will potentially benefit from software-defined
radios controlled by artificial intelligence algorithms. In this paper, we propose a novel radio …
radios controlled by artificial intelligence algorithms. In this paper, we propose a novel radio …
Intelligent cognitive radio in 5G: AI-based hierarchical cognitive cellular networks
Faced with constant increasingly complicated communication network architecture issues
and blossoming traffic demand over wireless systems, it is still insufficient for dynamic …
and blossoming traffic demand over wireless systems, it is still insufficient for dynamic …
Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network
The detection and localization of structural damage in a stiffened skin-to-stringer composite
panel typical of modern aircraft construction can be addressed by ultrasonic-guided wave …
panel typical of modern aircraft construction can be addressed by ultrasonic-guided wave …
Spectrum sensing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review
SK Agrawal, A Samant, SK Yadav - Physical Communication, 2022 - Elsevier
The massive growth in mobile users and wireless technologies has resulted in increased
data traffic and created demand for additional radio spectrum. This growing demand for …
data traffic and created demand for additional radio spectrum. This growing demand for …
Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perspectives
Collaborative assemblies of robots are promising the next generation of robot applications
by ensuring that safe and reliable robots work collectively toward a common goal. To …
by ensuring that safe and reliable robots work collectively toward a common goal. To …
A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks
A Kaur, K Kumar - Journal of Experimental & Theoretical Artificial …, 2022 - Taylor & Francis
Due to exponential growth in demand for radio spectrum for wireless communication
networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …
networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …