A deep analysis of the image and video processing techniques using nanoscale quantum-dots cellular automata

Xu, Xiaoli; Cheng-hua, Fan; Wang, Lijun

doi:10.1016/j.ijleo.2022.169036

Cited by 6 publications

(1 citation statement)

References 57 publications

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“…By iteratively applying predefined rules based on the states of neighboring cells, the CA drives the evolution of these systems [29][30][31]. Its versatility spans diverse fields, including image processing [32][33][34] and traffic management [35][36][37], underscoring its profound influence on scientific inquiry and technological innovation.…”

Section: Cellular Automatamentioning

confidence: 99%

A Multi-Information Dissemination Model Based on Cellular Automata

Shao,

Liu

et al. 2024

Mathematics

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Significant public opinion events often trigger pronounced fluctuations in online discourse. While existing models have been extensively employed to analyze the propagation of public opinion, they frequently overlook the intricacies of information dissemination among heterogeneous users. To comprehensively address the implications of public opinion outbreaks, it is crucial to accurately predict the evolutionary trajectories of such events, considering the dynamic interplay of multiple information streams. In this study, we propose a SEInR model based on cellular automata to simulate the propagation dynamics of multi-information. By delineating information dissemination rules that govern the diverse modes of information propagation within the network, we achieve precise forecasts of public opinion trends. Through the concurrent simulation and prediction of multi-information game and evolution processes, employing Weibo users as nodes to construct a public opinion cellular automaton, our experimental analysis reveals a significant similarity exceeding 98% between the proposed model and the actual user participation curve observed on the Weibo platform.

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