Artificial-intelligence-enabled intelligent 6G networks

H Yang, A Alphones, Z Xiong, D Niyato, J Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
… [8] used deep learning to optimize the performance of Space-Air-Ground Integrated
networks, and showed how to employ deep learning to select most suitable paths for satellite …

Generative AI for space-air-ground integrated networks (SAGIN)

R Zhang, H Du, D Niyato, J Kang, Z Xiong… - arXiv preprint arXiv …, 2023 - arxiv.org
artificial intelligence field, renowned for their language and image generation capabilities.
Meantime, space-air-… estimation, joint air-space-ground resource allocation, intelligent network …

[图书][B] Introduction to artificial intelligence

PC Jackson - 2019 - books.google.com
… It is important to thank everyone who helped make this work possible, though time and space
would make any list incomplete, and regretfully these words are written too late for some to …

[PDF][PDF] An artificial intelligence approach to operational aviation turbulence forecasting

J Abernethy, R Sharman, E Bradley - … Int. Conf. on Research in Air …, 2008 - academia.edu
… X is mapped into a higher dimensional space. The SVM finds a linearly separating
hyperplane with the maximal margin between class means in this higher dimensional space. To …

Research on Intelligent Access of Space-Air-Ground Integrated Network

L Liu, Q Liu - International Conference On Signal And Information …, 2021 - Springer
Artificial intelligence and big data mining technologies have … The intelligent access technology
in the Space-Air-Ground … issues in space earth integrated intelligent access technology, …

An air defense decision-making model based on modern artificial intelligence technology

Y Luo, P Wang, G Liu, X Jiang - … in Automation, Control, and Intelligent … - ieeexplore.ieee.org
… Abstract—An air defense decision-making model based on modern artificial intelligence
of target menace assessment efficiently and improve the efficiency of air defense combat. …

Implementation of Artificial Intelligence on Air Traffic Control-A Systematic Literature Review

RE Abdillah, H Moenaf, LF Rasyid… - 2024 18th …, 2024 - ieeexplore.ieee.org
Machine learning can also be applied in air traffic control to … the role of artificial intelligence
(AI) in the Air Traffic Control (… as Implementation, Air Traffic Control, and Machine learning. …

Paving the way for distributed artificial intelligence over the air

G Ma, C Zhang, S Dang… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Distributed Artificial Intelligence (DAI) is one of the most promising techniques to provide
intelligent services under strict privacy protection regulations for multiple clients. By applying …

Challenges from the introduction of artificial intelligence in the european air traffic management system

M Stathis, B Marc, B Nora, L Tom, S Anthony… - IFAC-PapersOnLine, 2022 - Elsevier
… In the era of digitalization and Big Data, this traffic flow JCS faces important and potentially
disruptive challenges with the introduction of Artificial Intelligence (AI) both in the air and the …

Olive branch learning: A topology-aware federated learning framework for space-air-ground integrated network

Q Fang, Z Zhai, S Yu, Q Wu, X Gong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… These informative sensing data can be further utilized for artificial intelligence (AI) model …
tous end devices can be brought together to support datadriven artificial intelligence [3]. Nei et …