A survey of cellular automata: types, dynamics, non-uniformity and applications
Cellular automata (CAs) are dynamical systems which exhibit complex global behavior from
simple local interaction and computation. Since the inception of cellular automaton (CA) by …
simple local interaction and computation. Since the inception of cellular automaton (CA) by …
A comprehensive taxonomy of cellular automata
Cellular automata (CAs) are fully-discrete dynamical models that have received much
attention due to the fact that their relatively simple setup can nonetheless express highly …
attention due to the fact that their relatively simple setup can nonetheless express highly …
[PDF][PDF] Crop Disease Prediction with Convolution Neural Network (CNN) Augmented With Cellular Automata.
KS Pokkuluri, SUD Nedunuri, U Devi - Int. Arab J. Inf. Technol., 2022 - ccis2k.org
Food security is the primary concern of any country, and crop diseases are the major threats
to this. Each stage of the crop will be affected by various diseases starting from seeding to …
to this. Each stage of the crop will be affected by various diseases starting from seeding to …
Energy-efficient pattern recognition hardware with elementary cellular automata
The development of power-efficient Machine Learning Hardware is of high importance to
provide Artificial Intelligence (AI) characteristics to those devices operating at the Edge …
provide Artificial Intelligence (AI) characteristics to those devices operating at the Edge …
Characterization of single cycle CA and its application in pattern classification
The special class of irreversible cellular automaton (CA) with multiple attractors is of
immense interest to the CA researchers. Characterization of such a CA is the necessity to …
immense interest to the CA researchers. Characterization of such a CA is the necessity to …
Contextual and hierarchical classification of satellite images based on cellular automata
M Espínola, JA Piedra-Fernández… - … on Geoscience and …, 2014 - ieeexplore.ieee.org
Satellite image classification is an important technique used in remote sensing for the
computerized analysis and pattern recognition of satellite data, which facilitates the …
computerized analysis and pattern recognition of satellite data, which facilitates the …
Asynchronous cellular automata and pattern classification
This article designs an efficient two‐class pattern classifier utilizing asynchronous cellular
automata (ACAs). The two‐state three‐neighborhood one‐dimensional ACAs that converge …
automata (ACAs). The two‐state three‐neighborhood one‐dimensional ACAs that converge …
A bottleneck Steiner tree based multi-objective location model and intelligent optimization of emergency logistics systems
J Zhang, M Dong, FF Chen - Robotics and Computer-Integrated …, 2013 - Elsevier
Logistics networks could be very fragile in a global environment due to unexpected
emergencies such as earthquakes, tsunamis and terrorists attacks. Therefore, the research …
emergencies such as earthquakes, tsunamis and terrorists attacks. Therefore, the research …
Fuzzy cellular automata for modeling pattern classifier
P Maji, PP Chaudhuri - IEICE Transactions on Information and …, 2005 - search.ieice.org
This paper investigates the application of the computational model of Cellular Automata
(CA) for pattern classification of real valued data. A special class of CA referred to as Fuzzy …
(CA) for pattern classification of real valued data. A special class of CA referred to as Fuzzy …
A survey on cellular automata and its applications
D Das - International Conference on Computing and …, 2011 - Springer
Abstract A Cellular Automata (CA) is a computing model of complex system using simple
rule. CA divides the problem space into number of cell and each cell can be one or several …
rule. CA divides the problem space into number of cell and each cell can be one or several …