Relevant bibliographies by topics / Cellular Automata-Markov

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Cellular Automata-Markov'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Cellular Automata-Markov"

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Meng, Xiao Qian, and Yi Jin Chen. "The Analysis and Evaluation of Land Cover Change in Xining City Based on CA-Markov Model." Applied Mechanics and Materials 253-255 (December 2012): 207–10. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.207.

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Cellular automata model is a dynamic evolution model with discrete space and time, it is powerful in spatial modeling and parallel computing, so it can take advantage of workstation to simulate the transformation process of complex spatial system. Using a model based on cellular automata to forecast the development of Xining has a great benefit for the urban development. Markov Chain model is widely used in forecasting a system which is changing smoothly, the Markov Chain would provide transition rules for the cellular automata. The main task is predicting the land cover of Xining in 2020 base
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Chang, Chih-Hung, та Yu-Wen Chen. "The Measure-Theoretic Entropy and Topological Entropy of Actions overℤm". Journal of Mathematics 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/404626.

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This paper studies the quantitative behavior of a class of one-dimensional cellular automata, named weakly permutive cellular automata, acting on the space of all doubly infinite sequences with values in a finite ringℤm,m≥2. We calculate the measure-theoretic entropy and the topological entropy of weakly permutive cellular automata with respect to any invariant measure on the spaceℤmℤ. As an application, it is shown that the uniform Bernoulli measure is the unique maximal measure for linear cellular automata among the Markov measures.
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Kang, Junfeng, Lei Fang, Shuang Li, and Xiangrong Wang. "Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework." ISPRS International Journal of Geo-Information 8, no. 10 (2019): 454. http://dx.doi.org/10.3390/ijgi8100454.

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The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the exp
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Hawkins, Jane, and Donna Molinek. "Markov cellular automata models for chronic disease progression." International Journal of Biomathematics 08, no. 06 (2015): 1550085. http://dx.doi.org/10.1142/s1793524515500850.

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We analyze a Markov cellular automaton that models the spread of viruses that often progress to a chronic condition, such as human immunodeficiency virus (HIV) or hepatitis C virus (HCV). We show that the complex dynamical system produces a Markov process at the later stages, whose eigenvectors corresponding to the eigenvalue 1 have physical significance for the long-term prognosis of the virus. Moreover we show that drug treatment leads to chronic conditions that can be modeled by Markov shifts with more optimal eigenvectors.
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Sobottka, Marcelo. "Right-permutative cellular automata on topological Markov chains." Discrete & Continuous Dynamical Systems - A 20, no. 4 (2008): 1095–109. http://dx.doi.org/10.3934/dcds.2008.20.1095.

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JADAWALA, Shrushti. "Cellular Automata and Markov Chain Based Urban Growth Prediction." International Journal of Environment and Geoinformatics 8, no. 3 (2021): 337–43. http://dx.doi.org/10.30897/ijegeo.781574.

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Agapie, Alexandru, Robin Höns, and Heinz Mühlenbein. "Markov Chain Analysis for One-Dimensional Asynchronous Cellular Automata." Methodology and Computing in Applied Probability 6, no. 2 (2004): 181–201. http://dx.doi.org/10.1023/b:mcap.0000017712.55431.96.

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SANCHEZ, JUAN R. "PATTERN RECOGNITION OF ONE-DIMENSIONAL CELLULAR AUTOMATA USING MARKOV CHAINS." International Journal of Modern Physics C 15, no. 04 (2004): 563–67. http://dx.doi.org/10.1142/s0129183104006029.

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A technique is presented for the identification of rule that generates a given complex pattern of linear one-dimensional cellular automata (LCA). The technique is based on the construction of a Markov transition matrix for the Markov chains that correspond to the evolution of the automaton. Such chain is generated by the evolution of a sequence of symbols representing the value of a string composed by small portion of the sites of the automaton. Excellent results are obtained for the identification of the rules that generate different complex patterns.
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Arafah, Feny, Irenius Yopy Santrum, Dedy Kurnia Sunaryo, and Hery Purwanto. "ANALISA PERBANDINGAN METODE CELLULAR AUTOMATA ANN DAN MARKOV UNTUK PREDIKSI TUTUPAN LAHAN DI KOTA BLITAR." Jurnal Tekno Global 13, no. 02 (2024): 58–65. https://doi.org/10.36982/jtg.v13i02.4853.

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ABSTRACT The development of urban areas in Blitar City, which is triggered by population growth and mobility, has caused changes in land cover, especially the reduction in rice fields due to land conversion for housing and infrastructure. As land cover changes occur significantly, it is necessary to develop methods to predict land cover, one of the methods is Cellular Automata (CA). The objectives of this study are to determine the results of land cover classification and prediction in 2024 by utilizing Sentinel 2A image data and comparing its accuracy with field data. The CA methods used are
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Mukhopadhyay, Anirban, Parimal Mondal, Jyotiskona Barik, S. M. Chowdhury, Tuhin Ghosh, and Sugata Hazra. "Correction: Changes in mangrove species assemblages and future prediction of the Bangladesh Sundarbans using Markov chain model and cellular automata." Environmental Science: Processes & Impacts 17, no. 11 (2015): 1990–91. http://dx.doi.org/10.1039/c5em90041g.

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Correction for ‘Changes in mangrove species assemblages and future prediction of the Bangladesh Sundarbans using Markov chain model and cellular automata’ by Anirban Mukhopadhyay et al., Environ. Sci.: Processes Impacts, 2015, 17, 1111–1117.
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Dissertations / Theses on the topic "Cellular Automata-Markov"

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Dridi, Sara. "Recent advances in regional controllability of cellular automata." Doctoral thesis, Perpignan, 2019. http://hdl.handle.net/2158/1181181.

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The issue addressed in this thesis concerns the controllability of a class of dis- crete spatio-temporal systems named cellular automata (CA). The purpose of this study is to highlight new ways to prove the controllability of complex systems. More specifically, this thesis focuses on regional controllability which consists in restricting the study to a subregion of the domain where the system will have to achieve a given objective through targeted actions. The case of Boolean CA have been particularly examined throughout this thesis. The first part is devoted to the study of the prob- lem of t
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Dridi, Sara. "Recent advances in regional controllability of cellular automata." Thesis, Perpignan, 2019. http://www.theses.fr/2019PERP0021/document.

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Le sujet abordé dans cette thèse concerne la contrôlabilité d’une classe de systèmes spatio-temporels, entièrement discrets de type automates cellulaires (AC). Le but de cette étude est de mettre en lumière de nouvelles pistes pour prouver la contrôlabilité des systèmes complexes. Plus spécifiquement, cette thèse se focalise sur la contrôlabilité régionale qui consiste à se restreindre à une région du domaine où le système devra atteindre un objectif donné à travers des actions ciblées. Le cas d’AC Booléens a été particulièrement examiné tout au long de cette thèse. La première partie est cons
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Shereshevsky, Mark Alexandrovich. "On the ergodic theory of cellular automata and two-dimensional Markov shifts generated by them." Thesis, University of Warwick, 1992. http://wrap.warwick.ac.uk/34640/.

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In this thesis we study measurable and topological dynamics of certain classes of cellular automata and multi-dimensional subshifts. In Chapter 1 we consider one-dimensional cellular automata, i.e. the maps T: PZ -> PZ (P is a finite set with more than one element) which are given by (Tx)i==F(xi+1, ..., xi+r), x=(xi)iEZ E PZ for some integers 1≤r and a mapping F: Pr-1+1 -> P. We prove that if F is right- (left-) permutative (in Hedlund's terminology) and 0≤1<r (resp. 1<r≤0), then the natural extension of the dynamical system (PZ,B,μ,T) is a Bernoulli automorphism (μ stands for the (1/p, ..., 1
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Stabile, Marcelo C. C. "Deconstructing the complexity of land use and cover classification and land change modelling." Thesis, The University of Sydney, 2011. http://hdl.handle.net/2123/8640.

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Land use and land cover (LULC) dynamics are an integral component of global change. In this thesis, various approaches were developed to unravel the complexity of LULC classification and the subsequent application of the multi-temporal LULC data for land change modelling. This complexity is particularly relevant in this study, whereby the available multi-temporal remote Landsat images are noisy and of relatively low spatial resolution. First, a semi-automated object-based method using rulesets and supervised classification was developed. This method was applied to the multi-temporal Landsat im
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Nguyen, Thi Thanh Huong, and Thi Thuy Phuong Ngo. "Land use/land cover change prediction in Dak Nong Province based on remote sensing and Markov Chain Model and Cellular Automata." Technische Universität Dresden, 2018. https://tud.qucosa.de/id/qucosa%3A33069.

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Land use and land cover changes (LULCC) including deforestation for agricultural land and others are elements that contribute on global environmental change. Therefore understanding a trend of these changes in the past, current, and future is important for making proper decisions to develop in a sustainable way. This study analyzed land use and land cover (LULC) changes over time for Tuy Duc district belonging to Dak Nong province based on LULC maps classified from a set of multidate satellite images captured in year 2003, 2006, 2009, and 2013 (SPOT 5 satellite images). The LULC spatio-tempora
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Pace, Bruno. "O modelo de Axelrod com tensão superficial." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-26042012-123155/.

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Nesta dissertação foram estudados alguns modelos vetoriais que pretendem modelar e descrever alguns aspectos de sistemas sociais e de sua organização cultural. Partimos do modelo de Axelrod, um processo estocástico definido em uma rede, e introduzimos uma pequena alteração no modelo que desencadeou mudanças qualitativas interessantes, especialmente o surgimento de uma tensão superficial, que leva ao aparecimento de estados metaestáveis e de regiões culturais mais fixamente localizadas no espaço. Através da ótica da mecânica estatística e de extensas simulações computacionais, exploramos alguns
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Louis, Pierre-Yves. "Ergodicity of PCA : equivalence between spatial and temporal mixing conditions." Universität Potsdam, 2004. http://opus.kobv.de/ubp/volltexte/2006/658/.

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For a general attractive Probabilistic Cellular Automata on S-Zd, we prove that the (time-) convergence towards equilibrium of this Markovian parallel dynamics, exponentially fast in the uniform norm, is equivalent to a condition (A). This condition means the exponential decay of the influence from the boundary for the invariant measures of the system restricted to finite boxes. For a class of reversible PCA dynamics on {1,+1}(Zd), wit a naturally associated Gibbsian potential rho, we prove that a (spatial-) weak mixing condition (WM) for rho implies the validity of the assumption (A); thus ex
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Yu, Han Baek. "Combinatorial and probabilistic aspects of coupled oscillators." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524195989591036.

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Assaf, Camila de Campos. "Modelagem do uso e cobertura da terra como ferramenta de análise de políticas de conservação da natureza estudo do caso Juréia-Itatins." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/100/100132/tde-22112016-044158/.

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Unidades de conservação possuem o objetivo de preservar a natureza, evitando o desmatamento e promovendo a sustentabilidade do meio ambiente. Contudo, para que estas atendam aos propósitos para os quais foram criadas, sem acarretar prejuízos sociais ou conflitos com as populações locais, estudos aplicados interdisciplinares são essenciais, agregando conhecimento útil à gestão e ao planejamento das unidades de conservação. Sob a ótica da ciência da complexidade, o objetivo principal deste trabalho foi desenvolver modelos que auxiliassem na compreensão das mudanças no uso e cobertura da terra, r
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Lanthier, Paul. "Aspects ergodiques et algébriques des automates cellulaires." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMR034.

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La première partie de ce manuscrit entre dans le cadre de la théorie des probabilités, et est consacrée à l’étude de filtrations engendrées par des automates cellulaires. On étudie deux versions d’un automate algébrique agissant sur des configurations dont les états sont à valeurs dans un groupe abélien fini : l’une est déterministe, et consiste à additionner les états de deux cellules consécutives, et la seconde est une perturbation aléatoire de la première. À partir de ces automates, on construit des processus aléatoires markoviens et on étudie les filtrations engendrées par ces processus. O
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Books on the topic "Cellular Automata-Markov"

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Shereshevsky, Mark Alexandrovich. On the ergodic theory of cellular automata and two-dimensional Markov shifts generated by them. typecript, 1992.

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Stochastic cellular systems: Ergodicity, memory, morphogenesis. Manchester University Press, 1990.

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Kryukov, Vitaly I., and R. L. Dobrushin. Stochastic Cellular Systems: Ergodicity, Memory, Morphogenesis (Nonlinear Science). Manchester Univ Pr, 1991.

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Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and Symbolicc++ Programs 6th Edition. World Scientific Publishing Co Pte Ltd, 2014.

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Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and SymbolicC++ Programs. World Scientific Publishing Co Pte Ltd, 2005.

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The nonlinear workbook: Chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, fuzzy logic with C++, Java and symbolic C++ programs. 6th ed. World Scientific, 2015.

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The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. World Scientific, 2011.

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The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 4th ed. World Scientific, 2008.

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The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 3rd ed. World Scientific, 2005.

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The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. World Scientific, 2011.

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Book chapters on the topic "Cellular Automata-Markov"

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Kamusoko, Courage. "Markov–Cellular Automata in Geospatial Analysis." In Progress in Geospatial Analysis. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54000-7_8.

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Seck-Tuoh-Mora, Juan Carlos, Norberto Hernández-Romero, Joselito Medina-Marín, and Genaro J. Martínez. "Experimental Classification of Elementary Cellular Automata Using Markov Chains." In Emergence, Complexity and Computation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78757-7_9.

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Hidayat, Arief, Umar Mustofa, and Wardhan Wardhan. "Land Use Change By Cellular Automata (CA) – Markov Method." In Advances in Social Science, Education and Humanities Research. Atlantis Press SARL, 2024. https://doi.org/10.2991/978-2-38476-329-0_5.

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Dridi, Sara, Samira El Yacoubi, and Franco Bagnoli. "Boundary Regional Controllability of Linear Boolean Cellular Automata Using Markov Chain." In Recent Advances in Modeling, Analysis and Systems Control: Theoretical Aspects and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26149-8_4.

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Maass, Alejandro, Servet Martínez, Marcus Pivato, and Reem Yassawi. "Attractiveness of the Haar measure for linear cellular automata on Markov subgroups." In Institute of Mathematical Statistics Lecture Notes - Monograph Series. Institute of Mathematical Statistics, 2006. http://dx.doi.org/10.1214/lnms/1196285812.

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Lu, Jenny, and Fred Vermolen. "A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses." In Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10015-4_1.

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Kumar, Manish, R. B. Singh, Anju Singh, Ram Pravesh, Syed Irtiza Majid, and Akash Tiwari. "Case Study 2: Simulating Future Urban Growth Using Cellular Automata-Markov Chain Models." In Geographic Information Systems in Urban Planning and Management. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7855-5_10.

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Mahmoud, Hatem, and Prasanna Divigalpitiya. "Modeling Future Land Use and Land-Cover Change in the Asyut Region Using Markov Chains and Cellular Automata." In Smart and Sustainable Planning for Cities and Regions. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44899-2_7.

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Gadal, Sébastien, Mounir Oukhattar, Jūratė Kamičaitytė, Moisei Zakharov, Walid Ouerghemmi, and Ismaguil Hanadé Houmma. "Multiscale and Multi-Temporal Simulation of Change of Urban Structures in the Subarctic East Siberian Metropolis of Yakutsk." In The Urban Book Series. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77752-3_23.

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Abstract In the last twenty years, the Metropolis of Yakutsk has experienced significant changes characterised by intense urban growth, densification, and urban structure changes in a complex geographical environment: extremely low temperature during six to seven months, impacts of permafrost dynamics and relative melting, seasonal exposure to ice breakup on the suburban areas. The urban structure and land-use changes conditioned by the urban growth and environmental impacts are analysed at two geographic scales: the meso-urban level with the use of the Landsat-5 TM, Landsat-8 OLI, and Sentine
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Naimur Rahman, Md, Md Mushfiqus Saleheen, Sajjad Hossain Shozib, and Abu Reza Md Towfiqul Islam. "Monitoring and Prediction of Spatiotemporal Land-Use/Land-Cover Change Using Markov Chain Cellular Automata Model in Barisal, Bangladesh." In Advancements in Urban Environmental Studies. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21587-2_8.

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Conference papers on the topic "Cellular Automata-Markov"

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Aithal, Bharath H., S. Vinay, and T. V. Ramachandra. "Landscape dynamics modeling through integrated Markov, Fuzzy-AHP and cellular automata." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947148.

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Zhulu Lin, De Zhou, and Liming Liu. "Regional-Scale Assessment and Simulation of Land Salinization Using Cellular Automata-Markov Model." In ASABE/CSBE North Central Intersectional Meeting. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41320.

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Kumar, K. Sundara, K. Padma Kumari, and P. Udaya Bhaskar. "Application of Markov chain & cellular automata based model for prediction of Urban transitions." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755466.

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Dutta, Ruma, Anirban Kundu, and Debajyoti Mukhopadhyay. "Offering Memory Efficiency Utilizing Cellular Automata for Markov Tree Based Web-Page Prediction Model." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icit.2007.21.

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Wang, Shuqing, Xinqi Zheng, Lin Wang, and Xiaobing Zang. "Simulation of precise scale land use change based on the Markov-cellular automata model." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567828.

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Kesaulija, Francina F., Marlon Ivanhoe Aipassa, Muhammad Sumaryono, and Ali Suhardiman. "Modeling Land Cover Change Using Markov Chain-Cellular Automata in Sorong, West Papua Province." In Joint Symposium on Tropical Studies (JSTS-19). Atlantis Press, 2021. http://dx.doi.org/10.2991/absr.k.210408.026.

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Dutta, Ruma, Anirban Kundu, and Debajyoti Mukhopadhyay. "Offering Memory Efficiency Utilizing Cellular Automata for Markov Tree Based Web-Page Prediction Model." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icoit.2007.4418308.

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Ahmed, Goma Bedawi, and Abdul Rashid M. Shariff. "Predicting the Vegetation Expansion in Selangor, Malaysia using the NDVI and Cellular Automata Markov Chain." In The World Congress on Civil, Structural, and Environmental Engineering. Avestia Publishing, 2016. http://dx.doi.org/10.11159/icgre16.115.

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Mujiono, T. L. Indra, D. Harmantyo, I. P. Rukmana, and Z. Nadia. "Simulation of land use change and effect on potential deforestation using Markov Chain - Cellular Automata." In INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2016 (ISCPMS 2016): Proceedings of the 2nd International Symposium on Current Progress in Mathematics and Sciences 2016. Author(s), 2017. http://dx.doi.org/10.1063/1.4991281.

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Virtriana, Riantini, Irawan Sumarto, Albertus Deliar, Udjianna S. Pasaribu, and Moh Taufik. "Model of land cover change prediction in West Java using cellular automata-Markov chain (CA-MC)." In NATIONAL PHYSICS CONFERENCE 2014 (PERFIK 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4915060.

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