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Wolfram’s cellular automata model for unhealthy gas leakage detection
The Elementary Cellular Automata (ECA) introduced by Stephan Wolfram, is a powerful universal computing tool which can be explored for design...
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Associating parallel automata network dynamics and strictly one-way cellular automata
We prove that the limit dynamics of any finite automata network under the parallel update schedule correspond exactly to the fixed points of a...
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Predictive landscapes hidden beneath biological cellular automata
To celebrate Hans Frauenfelder’s achievements, we examine energy(-like) “landscapes” for complex living systems. Energy landscapes summarize all...
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Investigating chiral morphogenesis of gold using generative cellular automata
Homochirality is an important feature in biological systems and occurs even in inorganic nanoparticles. However, the mechanism of chirality formation...
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Elementary cellular automata realized by stateful three-memristor logic operations
Cellular automata (CA) are computational systems that exhibit complex global behavior arising from simple local rules, making them a fascinating...
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Photonic elementary cellular automata for simulation of complex phenomena
Cellular automata are a class of computational models based on simple rules and algorithms that can simulate a wide range of complex phenomena....
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Cellular automata and Kan extensions
In this paper, we formalize precisely the sense in which the application of a cellular automaton to partial configurations is a natural extension of...
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CA-NN: a cellular automata neural network for handwritten pattern recognition
Convolutional neural networks (CNNs) are best suited for image data. The most important layer in CNNs is the convolution layer. In this paper,...
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Expanding the Cellular Automata Topologies Library for Parallel Implementation of Synchronous Cellular Automata
The paper discusses the implementation of cellular automata on supercomputers. It outlines the requirements for the software: ease of program...
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Applications of Cellular Automata in Water Informatics
John von Neumann introduced Cellular Automata (CA) along with his various other computational tools. However, the proposed 29-state CA involves...
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Application of cellular automata in neuroscience: dynamic models of neuron populations
The collective activity of neurons in cortical circuits enables us to think, perceive, learn and move. Modeling this activity through cellular...
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Exploring Dynamics of Fungal Cellular Automata
Cells in a fungal hyphae are separated by internal walls (septa). The septa have tiny pores that allow cytoplasm flowing between cells. Cells can...
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Simulation of employee behaviour psychology based on stochastic cellular automata
Employee behavior exhibits diversity at different times and environments, with obvious characteristics of complex systems. Cellular automata (CA) is...
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Chaotic-based color image encryption using a hybrid method of reversible cellular automata and DNA sequences
In this manuscript, a new image cryptography algorithm based on new second-order recursive cellular automata (RCA), DNA sequences, and hyper-chaotic...
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Cellular Automata-Based Sentiment Analysis
Analyzing the opinion of human beings such that there is continued development as per individual’s needs is one of the primary objectives of...
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Relating SARS-CoV-2 variants using cellular automata imaging
We classify the main variants of the SARS-CoV-2 virus representing a given biological sequence coded as a symbolic digital sequence and by its...
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A reversible system based on hybrid toggle radius-4 cellular automata and its application as a block cipher
The one-dimensional cellular automata (CA) system detailed herein uses a hybrid mechanism to attain reversibility, and this approach is adapted to...
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A novel cellular automata-based approach for generating convolutional filters
Image classification is a well-studied problem where the aim is to categorize given images into a predefined set of classes. Although there are...
