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Article

Ermolieva, T., Ermoliev, Y., Zagorodny, A., Bogdanov, V., Borodina, O., Havlik, P. ORCID: https://orcid.org/0000-0001-5551-5085, Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, Knopov, P., Gorbacuk, V. & Zaslavskyi, V. (2022). Artificial Intelligence, Machine Learning, and Intelligent Decision Support Systems: Iterative “Learning” SQG-based procedures for Distributed Models’ Linkage. Artificial Intelligence Journal 94 (2) 10.15407/jai2022.02.092.

Zagorodny, A., Ermoliev, Y., Bogdanov, V. & Kostyuchenko, Y. (2013). On the state and outlooks of cooperation of the National Academy of Sciences of Ukraine with IIASA. Letters of the National Academy of Sciences of Ukraine (Vesti NASU), 28-38.

Book Section

Zagorodny, A., Bogdanov, V., Ermolieva, T. & Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179 (2024). Modeling for Managing Food-Energy-Water-Social-Environmental—NEXUS Security: Novel Systems’ Analysis Approaches. In: Nexus of Sustainability. Eds. Zagrorodny, A., Bogdanov, V. & Zaporozhets, A., pp. 1-32 Springer. ISBN 978-3-031-66764-0 10.1007/978-3-031-66764-0_1.

Zagorodny, A., Bogdanov, V., Ermoliev, Y. & Kulyk, M. (2023). Development of Top-down and Bottom-up Methodology Using Risk Functions for Systems with Multiplicity of Solutions. In: Systems, Decision and Control in Energy IV. Eds. Zaporozhets, A., pp. 3-23 Springer. 10.1007/978-3-031-22464-5_1.

Zagorodny, A., Bogdanov, V. & Ermoliev, Y. (2013). On integrated management of food, water, energy and environmental security. In: Integrated Modeling of Food, Energy and Water Security Management for Sustainable Social, Economic and Environmental Developments. Eds. Zagorodny, A & Ermoliev, Y, Kiev pp.187-197: National Academy of Sciences of Ukraine. ISBN 978-966-02-6824-1

Conference or Workshop Item

Ermolieva, T., Zagorodny, A., Bogdanov, V.L., Wang, G., Havlik, P. ORCID: https://orcid.org/0000-0001-5551-5085, Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443, Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, Kahil, T. ORCID: https://orcid.org/0000-0002-7812-5271, Ortiz-Partida, J.- P., Balkovič, J. ORCID: https://orcid.org/0000-0003-2955-4931, Skalský, R. ORCID: https://orcid.org/0000-0002-0983-6897 & Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238 (2023). Consistent linkage of distributed food, water, energy, environmental (FWEE) models: perspectives of data and modeling platform for integrated FWEE security NEXUS analysis and planning. In: EGU General Assembly 2023, 23-28 April 2023, Vienna.

Ermolieva, T., Ermoliev, Y., Zagorodny, A., Bogdanov, V., Borodina, O., Havlik, P. ORCID: https://orcid.org/0000-0001-5551-5085, Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, Knopov, P., Gorbacuk, V., Norkin, V. & Zaslavskyi, V. (2022). Artificial Intelligence, Machine Learning, and Intelligent Decision Support Systems: Iterative “Learning” SQG-based procedures for Distributed Models’ Linkage. In: XXII International Scientific and Technical Conference Artificial Intelligence and Intelligent Systems, Kiev, Ukraine.

Ermolieva, T., Zagorodny, A., Bogdanov, V., Knopov, P., Gorbachuk, V., Zaslavski, V., Havlik, P. ORCID: https://orcid.org/0000-0001-5551-5085, Derci Augustynczik, A.L., Skalský, R. ORCID: https://orcid.org/0000-0002-0983-6897, Balkovič, J. ORCID: https://orcid.org/0000-0003-2955-4931, Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Kahil, T. ORCID: https://orcid.org/0000-0002-7812-5271 & Wang, G. (2022). Big Data, Artificial Intelligence and Machine Learning problems for Robust Food-Water-Energy NEXUS Analysis and Risk-Adjusted Agricultural Insurance Schemes. In: 11th International Conference “V.M. Glushkov’s Lectures”, 8th December 2022, Kiev, Ukraine.

Other

Zagorodny, A., Ermoliev, Y., Kostyuchenko, Y., Ermolieva, T. & Borodina, O. (2012). Integrated modeling of food, energy and water security management for sustainable social, economic and environmental developments. Poster presentation, IIASA 40th Anniversary Conference, 24-26 October 2012, Laxenburg and Vienna, Austria