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  • ItemOpen Access
    The effect of quarantine measures in COVID-19
    (Advances in Interdisciplinary Sciences, 2020) Yergesh D.; Kadyrov Sh.; Orynbassar A.
    We consider deterministic SEIQR epidemic model for novel coronavirus (COVID-19). In addition to the classical SIR model, it takes into account the exposed and quarantined states. The objective of the study is to estimate epidemiological parameters for COVID-19 in the United Kingdom and understand the effect of various quarantine measures. The basic reproduction number is estimated to be 3.622. The findings suggest that weaker quarantine measures may be insufficient to fight with the disease.
  • ItemOpen Access
    Integer Prime Factorization with Deep Learning
    (Vol 2 No 1 (2021): Advances in Interdisciplinary Sciences, 2021) Murat B.; Kadyrov Sh.; Tabarek R.
    Prime factor decomposition is a method that is used in number theory and in cryptography, as well. The security of the message depends on the difficulty of factorization. In other words, to hack the RSA system, factorization of N is needed, where N is a product of two prime (generally large) numbers. This paper analyzes the approaches which are already used to solve the problem, and proposes a new method which is expected to increase the efficiency of prime number factorization with the help of neural networks. The results in this paper can be used to develop and improve the security of cryptosystems.