Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

[HTML][HTML] Mitigating 5G security challenges for next-gen industry using quantum computing

C Mangla, S Rani, NMF Qureshi, A Singh - Journal of King Saud University …, 2023 - Elsevier
Abstract 5G has been launched in a few countries of the world, so now all focus shifted
towards the development of future 6G networks. 5G has connected all aspects of society …

Hyperspectral anomaly detection via image super-resolution processing and spatial correlation

Z Li, Y Zhang - IEEE Transactions on Geoscience and Remote …, 2020 - ieeexplore.ieee.org
Anomaly detection is a key problem in hyperspectral image (HSI) analysis with important
remote sensing applications. Traditional methods for hyperspectral anomaly detection are …

Image encryption and decryption using exclusive-OR based on ternary value logic

SB Zakaria, K Navi - Computers and Electrical Engineering, 2022 - Elsevier
In this paper, the approximate current mode adder circuit was proposed using CNTFET
technology based on ternary value logic. This design was evaluated relying on binary …

[PDF][PDF] A Bibliographic Review of Cellular Automaton Publications in the Last 50 Years.

Y Zhuang, W Li, H Wang, S Hong, H Wang - J. Cell. Autom., 2017 - researchgate.net
A bibliometric analysis based on Science Citation Index-Expanded (SCIE) database was
performed to evaluate global cellular automata (CA) research from different perspectives …

On routine evolution of complex cellular automata

M Bidlo - IEEE Transactions on Evolutionary Computation, 2016 - ieeexplore.ieee.org
This paper discusses a special technique, called conditionally matching rules (CMRs), for
the representation of transition functions of cellular automata (CA) and its application to the …

A Constructive Approach for Threshold Function Identification

MJ Li, YC Yen, YT Li, YC Chen, CY Wang - ACM Transactions on Design …, 2023 - dl.acm.org
Threshold Function (TF) is a subset of Boolean function that can be represented with a
single linear threshold gate (LTG). In the research about threshold logic, the identification of …

[PDF][PDF] A Configurable Design for Morphological Erosion and Dilation Operations in Image Processing using Quantum-dot Cellular Automata.

V Mardiris, V Chatzis - Journal of Engineering Science & …, 2016 - pdfs.semanticscholar.org
This paper presents a novel configurable design for the implementation of basic
morphological operations based on Quantum-dot Cellular Automata (QCA) technology. QCA …

Threshold function identification by redundancy removal and comprehensive weight assignments

CH Liu, CC Lin, YC Chen, CC Wu… - … on Computer-Aided …, 2018 - ieeexplore.ieee.org
The identification of threshold function (TF), which determines whether a Boolean function
can be represented by an linear threshold logic gate (LTG) or not, is a fundamental but …

Cellular automata applications in shortest path problem

MAI Tsompanas, NI Dourvas, K Ioannidis… - Shortest Path Solvers …, 2018 - Springer
Abstract Cellular Automata (CAs) are computational models that can capture the essential
features of systems in which global behavior emerges from the collective effect of simple …