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Bashabsheh M. Mathematical model of the spread of COVID-19 using any logic system. AIP Conference Proceedings 2023 Nov 10 (Vol. 2930, No. 1). AIP Publishing. https://doi.org/10.1063/5.0175416 |
2023 |
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Bashabsheh, M. Modeling the process of spreading an epidemic using dynamic cellular automata systems. [Electronic resource] // Electronic periodical scientific journal “SCI-ARTICLE.RU”. 2023. No. 122 (October) 2023. p. 19-31. URL: https://sci-article.ru/number/10_2023.pdf |
2023 |
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Bashabsheh M., Al-Salaimah B. APPLICATION OF AN AGENT APPROACH TO SIMULATION MODELING OF THE PROCESS OF EPIDEMIC SPREAD. Deutsche Internationale Zeitschrift Für Zeitgenössische Wissenschaft, 2023, 65, 36–38. https://doi.org/10.5281/zenodo.8414870 |
2023 |
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Bashabsheh M. Modeling the spatial distribution of dynamic systems using probabilistic cellular automata. Journal of Chemical, Biological and Physical Sciences (JCBPS), 2023, 13(4), 401-411. https: //doi.org/10.24214/jcbps.B.13.4.40111. |
2023 |
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Bashabsheh M. Simulation stochastic model of influenza using cellular automaton // Modern scientific researches and innovations. 2023. № 5 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2023/05/100245 |
2023 |
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Bashabsheh M.M. Simulation model development of the spread epidemics on the basis of probabilistic cellular automata // Herald of Computer and Information Technologies. 2015. №1, 6–9. https: //doi.org/10.14489/vkit.2015.01.pp.006-009 |
2015 |
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M.M. Bashabsheh. Improving the quality and accuracy of anti-epidemic situation using a combination of simulation model based on stochastic model of compartmental and cellular automaton // Engineering Journal of Don – 2014 – №1. [Electronic scientific journal]. http://www.ivdon.ru/en/magazine/archive/n1y2014/2273 |
2014 |
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Bashabsheh М.М. Application of a deterministic and stochastic model for predictive assessment of the spread of epidemics // Electronic periodic scientific journal «SCI-ARTICLE.RU». – 2014. – №7. – pp. 9-16. [Electronic resource] URL: https://sci-article.ru/number/03_2014.pdf#page=9 |
2014 |
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Bashabsheh М.М. Compartmental models based on deterministic and stochastic variants in modeling the spread of epidemics // Electronic scientific journal "Computer Engineering and Software" 2014. Issue 1 January-April. pp. 10-16. |
2014 |
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Bashabsheh M.M. Mathematical modeling of the spread of epidemics (on the example of cholera) using deterministic and stochastic compartmental models// Prospects for the development of science and education: collection of scientific papers of the international scientific-practical conference - Tambov, 2014. pp. 15-16 |
2014 |
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Bashabshekh M.M., Skvortsov A.V., Maslennikov B.I. Study of Spatially Extended Dynamical Systems in Simulation of Epidemic Diseases Spread by Methods of Probabilistic Cellular Automaton // SCIENCE PROSPECTS. № 5(44). 2013. pp. 60-63. |
2013 |
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Murad Bashabsheh. Boris Maslinkov. Simulation modeling of the spatial spread of epidemics (cholera for example) using the method of cellular automata using the Anylogic // Journal Naukovedenie. 2013 №6 (19) [Electronic resource]. - M. 2013. - Access: http://naukovedenie.ru/PDF/135TVN613.pdf |
2013 |
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Bashabsheh M. M. Maslinkov Boris Ivanovich, Skvortsov Andrei Viktorovich. Combined simulation model of space-venous spread cholera epidemic diseases on the basis of probabilistic cellular automation// Journal Naukovedenie. 2013 №3 (16) [Electronic resource]. - M. 2013. - Access: http://naukovedenie.ru/PDF/42tvn313.pdf |
2013 |
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Bashabsheh M.M. Using environment Anylogic for modeling distribution of epidemic // Modern scientific researches and innovations. 2013. № 4 [Electronic journal]. URL: http://web.snauka.ru/en/issues/2013/04/23264 |
2013 |
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M.M. Bashabsheh, A.V. Skvortsov, B.I. Maslinkov. Application of dynamic systems using probabilistic cellular automation to the simulation modeling the spread of cholera. №4 (April) 2013. Курск. URL:http://jurnal.org/articles/2013/inf5.html |
2013 |
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Bashabsheh M.M. Skvortsov A.V., Maslennikov B.I. Research and forecasting of epidemiological diseases based on compartmental models // Collection of scientific works of undergraduates and graduate students. Section information technologies in science and education.–Tver: TSTU, 2013 – Issue №3. pp. 6-9. |
2013 |
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M.M Bashabsheh, A.V. Skvortsov, B.I Maslennikov. Application of Cellular Automata for Modeling the Spatial Distribution of Epidemic Diseases. // Bulletin of the Tver State Technical University: Scientific journal –Tver: TSTU, 2013. – №1. – Issue 23. – pp. 9-14. |
2013 |
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M.M Bashabsheh, A.V. Skvortsov, B.I Maslennikov. Modeling Spatial Spread of Epidemics Using Regular Hexagonal Lattice Based Probabilistic Cellular Automata // Bulletin of the Tver State Technical University: Scientific journal – Tver: TSTU, 2013. – №1. – Issue 23. – pp. 28-31. |
2013 |
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Bashabsheh M.M. Skvortsov A.V., Maslennikov B.I. Simulation modeling of spatial distribution dynamic systems using probabilistic cellular automata based on regular hexagonal lattices: Education and science: current state and development prospects: collection of scientific papers on materials. International distance learning scientific and practical conference. 28-February, 2013: Part 9. Tambov |
2013 |
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Bashabsheh M.M. Using stochastic models for predictive assessment of the spread of the epidemic using cellular automata // intelligent systems and technologies: current state and prospects: collection of scientific papers of the 2nd International Summer School-Seminar on Artificial Intelligence for students, graduate students and young scientists. –Tver: TSTU, 2013. – pp. 187-190. |
2013 |
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M.M. Bashabsheh, A.A. Al-Azazi, A.V. Skvortsov, B.I Maslennikov. Compartmental models of the spread of diseases (epidemics). Education Quality Assurance System: Materials of reports of scientific-practical conference. Tver: Publishing house "Kupol", 2012. pp. 23-27 |
2012 |
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M.M. Bashabsheh, A.V. Skvortsov, B.I Maslennikov. Combination of probabilistic cellular automata and compartmental models for predictive assessment of the spatial distribution of epidemiological diseases. Collection of Proceedings of the scientific and practical conference: "Integration of science and education - production, economics" - Tver. 12-December, 2012, volume 2. pp. 10 |
2012 |
