Affiliation:
1. The Civil Defence Academy of EMERCOM of Russia
2. Scientific Electronic Library (eLIBRARY.RU)
Subject
Psychiatry and Mental health,Public Health, Environmental and Occupational Health,Clinical Psychology,Emergency Medicine,Emergency Medical Services
Reference28 articles.
1. Aleksanin S.S., Evdokimov V.I., Rybnikov V.Yu., Chernov K.A. Meditsina katastrof: metaanaliz nauchnykh statei i dissertatsii po spetsial’nosti 05.26.02 “Bezopasnost’ v chrezvychainykh situatsiyakh” (2005–2017 gg.) [Disaster medicine: meta-analysis of scientific articles and dissertations in the specialty 05.26.02 “Safety in emergency situations” (2005–2017)]. St. Petersburg. 2019. 293 p. (In Russ.)
2. Artamonov A.S., Evdokimov V.I., Stebunov S.V. Publikacionnaja dejatel’nost’ i naukometricheskie pokazateli zhurnal’nyh statej obrazovatel’nyh organizacij MChS Rossii [Publication activities and scientometric indices of journal articles educational organizations of EMERCOM of Russia]. Nauchnye i obrazovatel’nye problemy grazhdanskoi zashchity [Scientific and educational problems of civil protection]. 2016; (1):84–93. (In Russ.)
3. Bondar A.I., Evdokimov V.I., Rybnikov V.Ju. Analiz nauchnyh statej, opublikovannyh sotrudnikami organizacij MChS Rossii (2010–2019 gg.) [Analysis of scientific articles published by employees of organizations of EMERCOM of Russia (2010–2019)]. Pozhary i chrezvychainye situacii: predotvrashhenie, likvidacija [Fires and emergencies: prevention, liquidation]. 2021; (1):5–18. DOI: 10.25257/FE.2021.1.5-18. (In Russ.)
4. Boukhanovsky A.V., Ivanov S.V., Koval’chuk S.V., Nechaev Yu.I. Ontologicheskaya sistema znanii i vychislitel’nykh resursov sovremennykh intellektual’nykh tekhnologii [Ontological system of knowledge and computing resources of modern intellectual technologies]. Ontologiya proektirovaniya [Ontology of designing]. 2020; 10(1):22–33. DOI: 10.18287/2223-9537-2020-10-1-22-33. (In Russ.)
5. Vinogradov O.V., Morozova O.A. Aspekty primeneniya nejronnyh setej dlya prognozirovan iya chrezvychajnyh situacij [Aspects of neural networks use for predicting emergency situations]. Tekhnologii grazhdanskoj bezopasnosti [Civil Security Technologies]. 2021; 18(1):23–26. DOI: 10.54234/CST.19968493.2021.18.1.67.4.23. (In Russ.)