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Дата публикацииНазваниеАвторы
2023Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art ReviewPazderin, A.; Kamalov, F.; Gubin, P. Y.; Safaraliev, M.; Samoylenko, V.; Mukhlynin, N.; Odinaev, I.; Zicmane, I.
2023Evolution and recombination of topics in Technological Forecasting and Social ChangeSavin, I.
2023Exploring Gamification Research Trends Using Topic ModelingAyaz, A.; Ozyurt, O.; Al-Rahmi, W. M.; Salloum, S. A.; Shutaleva, A.; Alblehai, F.; Habes, M.
2022Forecasting Trends in the Tuberculosis Epidemic Situation in the Region of the Russian Federation by Dynamic Simulation ModelCherniaev, I. A.; Chernavin, P. F.; Tsvetkov, A. I.; Chugaev, Y. P.; Cherniaeva, U. I.; Chernavin, N. P.
2023Local structure, thermodynamics, and melting of boron phosphide at high pressures by deep learning-driven ab initio simulationsChtchelkatchev, N. M.; Ryltsev, R. E.; Magnitskaya, M. V.; Gorbunov, S. M.; Cherednichenko, K. A.; Solozhenko, V. L.; Brazhkin, V. V.
2022Methods of Signal Analysis for Automatic Diagnosis of Shockable Cardiac Arrhythmias: A ReviewLipchak, D. A.; Chupov, A. A.; Zhdanov, A. E.; Borisov, V. I.
2022Statistical model for describing heart rate variability in normal rhythm and atrial fibrillationMarkov, N.; Kotov, I.; Ushenin, K.; Bozhko, Y.
2022Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual ChangesTyulkova, T.; Chernavin, P.; Chernavin, N.; Chugaev, Y.; Chernyaev, I.
2023Taxonomy of Quality Assessment for Intelligent Software Systems: A Systematic Literature ReviewJabborov, A.; Kharlamova, A.; Kholmatova, Z.; Kruglov, A.; Kruglov, V.; Succi, G.
2022Topics of the nationwide phone-ins with Vladimir Putin and their role for public support and Russian economySavin, I.; Teplyakov, N.