Výsledky vyhledávání

A Method for Identification of Anomalous Geological Zones

Autor: A. B. Derendyaev, V. G. Gitis, K. N. Petrov

Publikováno v: Journal of Communications Technology and Electronics. 65:1531-1541

In the paper, a new approach to identifying zones with rare anomalous manifestations of geological processes is proposed. The approach is based on two one-class classification methods of machine learning: the method of minimum area of alarm and the m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b02495db9b25dee342844c575a1f483c
https://doi.org/10.1134/s1064226920120074

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Analysis of the Impact of Removal of Aftershocks from Catalogs on the Effectiveness of Systematic Earthquake Prediction

Autor: A. B. Derendyaev, V. G. Gitis, K. N. Petrov

Publikováno v: Journal of Communications Technology and Electronics. 65:756-762

—The effectiveness of earthquake prediction using the method of the minimum area of alarm when aftershocks are removed from the earthquake catalogs is evaluated. Testing was performed using the catalogs of earthquakes in Japan and the Mediterranean

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6009b91acb48dac95ae1a09c80fc461c
https://doi.org/10.1134/s106422692006011x

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The validation of threshold decision ruls and calculator for APhiG algoritm for clarification of prostate cancer staging before treatment

Autor: K. M. Nushko, T. E. Skachkova, M. R. Nazirov, I. M. Shevchuk, B. Ya. Alekseev, N. V. Marshutina, V. G. Gitis, Sergey Pirogov, E. F. Yurkov, Andrey Kaprin, N. S. Sergeeva

Publikováno v: Onkourologiâ, Vol 16, Iss 1, Pp 43-53 (2020)

Background. We have previously described an algorithm APhiG (Age of patients, Prostate health index and Gleason score), for staging of prostate cancer before treatment. The algorithm was developed by logistic regression on a training dataset and vali

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e75829f8a5ab410a03c5abf4c13ff6
https://oncourology.abvpress.ru/oncur/article/view/997

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On the Applied Efficiency of Systematic Earthquake Prediction

Autor: V. G. Gitis, A. B. Derendyaev, K. N. Petrov

Publikováno v: Computational Science and Its Applications – ICCSA 2022 Workshops ISBN: 9783031105449

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4854d8f787c1edf141582bd2c3d2e880
https://doi.org/10.1007/978-3-031-10545-6_41

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Diagnostic Model that Takes Medical Preferences into Account. Prediction of the Clinical Status of Prostate Cancer

Autor: Andrey Kaprin, N. S. Sergeeva, E. F. Yurkov, T. E. Skachkova, Sergey Pirogov, B. Ya. Alekseev, V. G. Gitis

Publikováno v: Journal of Communications Technology and Electronics. 64:834-845

—A mathematical model is proposed to describe and solve problems of medical diagnostics and forecasting based on a risk criterion. Within the framework of the model, problems with ranked diagnoses are considered, whose solution benefits from taking

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b5bd198c20702b83860162ca2e56d65
https://doi.org/10.1134/s1064226919080266

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The validation results for APhiGT algorithm for clarification of prostate cancer staging before treatment (first step)

Autor: N. S. Sergeeva, T. E. Skachkova, N. V. Marshutina, K. M. Nushko, I. M. Shevchuk, M. R. Nazirov, S. A. Pirogov, E. F. Yurkov, V. G. Gitis, B. Ya. Alekseev, A. D. Kaprin

Publikováno v: Onkourologiâ, Vol 15, Iss 2, Pp 42-52 (2019)

Background. We have previously described an algorithm APhiGT (Age, Prostate Health index, Gleason score, TNM stage) for staging of prostate cancer (PC) before treatment. The algorithm was developed by logistic regression on an educational selection (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49174cc061d59cc2fbc9a1861153228a
https://doi.org/10.17650/1726-9776-2019-15-2-42-52

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Technology of Monitoring and Analysis of the Hydrometeorological Situation in the Arctic

Autor: E. S. Nesterov, V. G. Gitis, I. O. Dumanskaya, A. A. Zelenko, A. A. Ivchenko, Arkady P. Weinstock, K. N. Petrov, S. N. Zatsepa, A. B. Derendyaev

Publikováno v: Journal of Communications Technology and Electronics. 63:691-705

A new geoinformation technology for monitoring the hydrometeorological situation in the Arctic is considered. This technology combines two levels of the geodata analysis. The first level supports automatic loading and processing of data, providing th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83e4015ae375d37812a0367695b4442f
https://doi.org/10.1134/s1064226918060098

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