Browsing by Author "Tabarek R."

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    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.
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    TIME SERIES ANALYSIS TO FORECAST COVID-19 CASES IN CENTRAL ASIA
    (СДУ хабаршысы - 2021, 2021) Tabarek R. ; Murat B. ; Kaiyr A. ; Smadyarov N. ; Issa D.
    Abstract. According to the study, the cases are expected to increase in the upcoming days. An exponential rise in the number of cases is also noticeable in a time series analysis. The current forecast models are expected to help the government and medical professionals plan for future circumstances and enhance healthcare system readiness. The proposed study employs a support vector regression model for forecasting the overall number of deaths, recovered cases, cumulative number of reported cases, and regular case count. The starting information is retrieved from the Ist of March to the 30th of April, 2021 (61 Days). The model predicts deaths, recoveries, and the total number of confirmed cases with an accuracy of over 97 percent, and regular new cases with an accuracy of 87 percent. The findings point to a Gaussian reduction in the number of cases, which may take another 3 to 4 months to reach the bare minimum of no new cases registered.