A survey on machine-learning techniques for UAV-based communications
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …
communication networks. Their adoption in various communication-based applications is …
A survey on deep learning techniques in wireless signal recognition
X Li, F Dong, S Zhang, W Guo - Wireless Communications and …, 2019 - Wiley Online Library
Wireless signal recognition plays an important role in cognitive radio, which promises a
broad prospect in spectrum monitoring and management with the coming applications for …
broad prospect in spectrum monitoring and management with the coming applications for …
DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization
Q Zheng, X Tian, Z Yu, H Wang, A Elhanashi… - … Applications of Artificial …, 2023 - Elsevier
Automatic modulation classification (AMC) is an essential and indispensable topic in the
development of cognitive radios. It is the cornerstone of adaptive modulation and …
development of cognitive radios. It is the cornerstone of adaptive modulation and …
Deep learning for modulation recognition: A survey with a demonstration
R Zhou, F Liu, CW Gravelle - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we review a variety of deep learning algorithms and models for modulation
recognition and classification of wireless communication signals. Specifically, deep learning …
recognition and classification of wireless communication signals. Specifically, deep learning …
[HTML][HTML] Development of complex methodology of processing heterogeneous data in intelligent decision support systems
P Zuiev, R Zhyvotovskyi, O Zvieriev… - Восточно …, 2020 - cyberleninka.ru
The complex methodology for processing heterogeneous data in intelligent decision support
systems is developed. This method is made to increase the efficiency of processing …
systems is developed. This method is made to increase the efficiency of processing …
A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
[PDF][PDF] Complex Methods of Processing Different Data in Intellectual Systems for Decision Support Systems
A Shyshatskyi, O Zvieriev, O Salnikova… - International …, 2020 - researchgate.net
The complex methodology for processing different data in intelligent decision support
systems is developed. This method is made to increase the efficiency of processing different …
systems is developed. This method is made to increase the efficiency of processing different …
Development of a method for assessment and forecasting of the radio electronic environment
O Sova, A Shyshatskyi, O Salnikova… - … and Engineering,(4), 2021 - papers.ssrn.com
Decision making support systems (DSS) are actively used in all spheres of human life. The
system of the electronic environment analysis is not an exception. However, there are a …
system of the electronic environment analysis is not an exception. However, there are a …
Blockchains for artificial intelligence of things: a comprehensive survey
With the rapid advances in information and communication technologies, the Internet of
Things (IoT) has become large and complex, bearing tremendous amounts of data and …
Things (IoT) has become large and complex, bearing tremendous amounts of data and …
Development of an algorithm for complex processing of geospatial data in the special-purpose geoinformation system in conditions of diversity and uncertainty of data
A Koshlan, O Salnikova, M Chekhovska… - … -European Journal of …, 2019 - neliti.com
The algorithm of complex processing of geospatial data in special-purpose geoinformation
systems in the conditions of diversity and uncertainty of data is developed. The novelty of the …
systems in the conditions of diversity and uncertainty of data is developed. The novelty of the …