Reinforcement learning for intelligent healthcare systems: A review of challenges, applications, and open research issues

AA Abdellatif, N Mhaisen, A Mohamed… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare
expenditure and mortality rates. This calls for transforming healthcare systems away from …

Reinforcement learning for intelligent healthcare systems: A comprehensive survey

AA Abdellatif, N Mhaisen, Z Chkirbene… - arXiv preprint arXiv …, 2021 - arxiv.org
The rapid increase in the percentage of chronic disease patients along with the recent
pandemic pose immediate threats on healthcare expenditure and elevate causes of death …

[图书][B] In-Band Full-Duplex Wireless Systems Handbook

KE Kolodziej - 2021 - books.google.com
Many wireless systems could benefit from the ability to transmit and receive on the same
frequency at the same time, which is known as In-Band Full-Duplex (IBFD). This technology …

A learning-based spectrum access Stackelberg game: Friendly jammer-assisted communication confrontation

N Qi, W Wang, M Xiao, L Jia, S Jin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Defensive and offensive capabilities are both significant in communication confrontation
games. By exploiting the above two capabilities, a new confrontation mechanism in the …

Game theory for anti-jamming strategy in multichannel slow fading IoT networks

A Gouissem, K Abualsaud, E Yaacoub… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The open nature of the wireless communication medium renders it vulnerable to jamming
attacks by malicious users. To detect their presence and to avoid such attacks, several …

Two birds with one stone: Simultaneous jamming and eavesdropping with the Bayesian-Stackelberg game

N Qi, W Wang, F Zhou, L Jia, Q Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In adversarial scenarios, it is crucial to timely monitor what tactical messages that opponent
transmitters are sending to intended receiver (s), and disrupt the transmissions immediately …

IoT anti-jamming strategy using game theory and neural network

A Gouissem, K Abualsaud, E Yaacoub… - 2020 International …, 2020 - ieeexplore.ieee.org
The Internet of things (IoT) is one of the most exposed networks to attackers due to its
widespread and its heterogeneity. In such networks, jamming attacks are widely used by …

Defense and offence strategies for tactical wireless networks using recurrent neural networks

A Pourranjbar, I Elleuch… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Network forces attempt to dominate the spectrum in tactical wireless networks while
preventing their opponents from holding any communication. In this context, both the …

Combating jamming attacks in multi-channel IoT networks using game theory

M Guizani, A Gouissem, K Abualsaud… - … on Information and …, 2020 - ieeexplore.ieee.org
Jamming attacks are among the most widely used techniques to block and disturb legitimate
communications. Several techniques are used in the literature to combat these attacks …

Toward secure IoT networks in healthcare applications: A game-theoretic anti-jamming framework

A Gouissem, K Abualsaud, E Yaacoub… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is used to interconnect a massive number of heterogeneous
resource-constrained smart devices. This makes such networks exposed to various types of …