Inverse modeling of diffusion-reaction processes with image-type measurement data

Penenko, A. & Mukatova, Z., 26 Nov 2018, 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 39-43 5 p. 8544885

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Investigation of the scaled simulator of the gas flow distributer for catalytic neutralization of gas emissions

Yavorsky, N. I., Kabardin, I. K., Meledin, V. G., Pravdina, M. K., Rakhmanov, V. V., Dvoynishnikov, S. V., Glavny, V. G., Krotov, S. V., Satbakov, O. Y., Klimonov, I. A., Balzhinimayev, B. S., Zolotarskiy, I. A. & Ivanov, S. Y., 2 Nov 2018, 19th International Conference on the Methods of Aerophysical Research, ICMAR 2018. Fomin (ed.). American Institute of Physics Inc., Vol. 2027. 7 p. 030119. (AIP Conference Proceedings; vol. 2027).

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Iterative Adaptation to Quantization Noise

Chudakov, D., Alyamkin, S., Goncharenko, A. & Denisov, A., 2021, Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 303-310 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12861 LNCS).

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Local search approach for the medianoid problem with multi-purpose shopping trips

Khapugin, S. & Melnikov, A., 1 Jan 2019, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Khachay, M., Pardalos, P. & Kochetov, Y. (eds.). Springer-Verlag GmbH and Co. KG, p. 328-341 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11548 LNCS).

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Local Search Approach for the (r|p)-Centroid Problem Under ℓ1 Metric

Davydov, I. & Gusev, P., 1 Jan 2020, Variable Neighborhood Search - 7th International Conference, ICVNS 2019, Revised Selected Papers. Benmansour, R., Sifaleras, A. & Mladenovic, N. (eds.). Springer Gabler, p. 81-94 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12010 LNCS).

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Local well-posedness in the problem of ow about in nite plane wedge with inviscous non-heat-conducting gas

Blokhin, A. M. & Tkachev, D. L., 5 Dec 2017, Proceedings of the International Conference Days on Diffraction 2017, DD 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 62-67 6 p.

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Logical probabilistic biologically inspired cognitive architecture

Vityaev, E. E., Demin, A. V. & Kolonin, Y. A., 1 Aug 2020, Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings. Goertzel, B., Potapov, A., Panov, A. I. & Yampolskiy, R. (eds.). Springer Gabler, p. 337-346 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12177 LNAI).

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Lower Bound Polynomial Fast Procedure for the Resource-Constrained Project Scheduling Problem Tested on PSPLIB Instances

Gimadi, E. K., Goncharov, E. N. & Shtepa, A. A., 2021, Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Revised Selected Papers. van der Aalst, W. M., Batagelj, V., Ignatov, D. I., Khachay, M., Koltsova, O., Kutuzov, A., Kuznetsov, S. O., Lomazova, I. A., Loukachevitch, N., Napoli, A., Panchenko, A., Pardalos, P. M., Pelillo, M., Savchenko, A. V. & Tutubalina, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 407-420 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12602 LNCS).

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LowResourceEval2021: a shared task on speech processing for lowresource languages

Klyachko, E., Гребенкин, Д. В., Носенко, Д. И. & Serikov, O., 2021, Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue” (2021). Москва: Российский государственный гуманитарный университет, Vol. Выпуск 20. 12 p. 36

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Machine learning methods for development of data-driven turbulence models

Yakovenko, S. N. & Razizadeh, O., 26 Oct 2020, High-Energy Processes in Condensed Matter, HEPCM 2020: Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, Dedicated to the 90th Anniversary of the Birth of RI Soloukhin. Fomin, V. M. (ed.). American Institute of Physics Inc., 5 p. 030065. (AIP Conference Proceedings; vol. 2288).

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