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4700-27530-1-PB.pdf

published 107111 1 324628 document 107111 indexcodes.txt text/x-c f6b93cccdbdbd14a342ced91be49142a MD5 11291 2024-08-01 07:55:25 https://pure.iiasa.ac.at/id/eprint/19911/2/indexcodes.txt 19911 2 2 text/x-c other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/107110 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/107110 http://eprints.org/relation/islightboxThumbnailVersionOf https://pure.iiasa.ac.at/id/document/107110 107113 2 324630 document 107113 preview.jpg image/png a7a046a58e5223cb9aa478d3d9eae3b4 MD5 22146 2024-08-01 07:56:24 https://pure.iiasa.ac.at/id/eprint/19911/4/preview.jpg 19911 4 4 image/png other Thumbnails conversion from text to thumbnail_preview en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/107110 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/107110 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/107110 107115 2 324632 document 107115 small.jpg image/png 7c977ca14b80305e630d2081cda31027 MD5 1962 2024-08-01 07:56:26 https://pure.iiasa.ac.at/id/eprint/19911/6/small.jpg 19911 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/107110 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/107110 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/107110 archive 353 disk0/00/01/99/11 2024-08-01 07:47:17 2024-08-01 07:47:17 2024-08-01 07:47:17 article show Massel L. Komendantova N. 1880 0000-0003-2568-6179 Massel A. Tsvetkova A. Zaikov K. Marinina O. pub ASA CAT risk assessment; the quality of life; energy and environmental safety; ontology; cognitive and probabilistic modeling; Bayesian Belief Network; machine learning A method for studying the resilience of energy and socio-ecological systems is considered; it integrates approaches developed at the International Institute of Applied Systems Analysis and the Melentyev Institute of Energy Systems (MESI) of the Siberian Branch of the Russian Academy of Sciences. The article discusses in detail the methods of using intelligent information technologies, in particular semantic technologies and knowledge engineering (cognitive probabilistic modeling), which the authors propose to use in assessing the risks of natural and man-made threats to the resilience of the energy sector and social and ecological systems. More attention is paid to the study and adaptation of the integral indicator of quality of life, which makes it possible to combine these interdisciplinary studies. 2024-07-30 published EnPress doi:10.24294/jipd.v8i7.4700 161 public Journal of Infrastructure, Policy and Development 8 7 e4700 TRUE 2572-7923 no info:eu-repo/semantics/article