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  1. 2023

  2. BRANN forecast of superalloy tensile strength versus Larson–Miller parameter relation and its approximation by a sigmoidal function

    Tarasov, D., Tyagunov, A. & Milder, O., 15 Nov 2023, In: Mathematical Methods in the Applied Sciences. 46, 16, p. 16401-16414 14 p.

    Research output: Contribution to journal › Conference article › peer-review

  3. Quantifying the font drawing of the electronic text: I-factor vs irregularity

    Tarasov, D. & Tarasova, T., 2023, In: AIP Conference Proceedings. 2849, 1, 190015.

    Research output: Contribution to journal › Conference article › peer-review

  4. ДИФФУЗИОННАЯ МОДЕЛЬ ЭВОЛЮЦИИ КЛАСТЕРА В МЕТАЛЛИЧЕСКОМ РАСПЛАВЕ ЖАРОПРОЧНОГО НИКЕЛЕВОГО СПЛАВА

    Тягунов, А. Г., Зейде, К. М., Мильдер, О. Б. & Тарасов, Д. А., 2023, In: Математическое моделирование и численные методы. 2 (38), p. 3-32 30 p.

    Research output: Contribution to journal › Article › peer-review

  5. Издательское дело в примерах и задачах : практикум: учебное пособие

    Плотникова, И. Ю., Климова, О. В., Тарасов, Д. А., Тягунов, А. Г. (ed.) & Гнюсова, И. Ф., 2023, Екатеринбург: Издательство Уральского университета. 252 p.

    Research output: Book/Report › Scholarly edition › peer-review

  6. ПРОГНОЗНЫЙ РАСЧЕТ ЖАРОПРОЧНОСТИ НИКЕЛЕВЫХ СПЛАВОВ НА НЕПОЛНЫХ ДАННЫХ

    Тягунов, А. Г., Мильдер, О. Б. & Тарасов, Д. А., 2023, In: Авиационные двигатели. 4 (21), p. 31-38 8 p.

    Research output: Contribution to journal › Article › peer-review

  7. СТРУКТУРНЫЕ ИЗМЕНЕНИЯ РАСПЛАВА ЖАРОПРОЧНОГО НИКЕЛЕВОГО СПЛАВА КАК ФАЗОВЫЙ ПЕРЕХОД ВТОРОГО РОДА

    Мильдер, О. Б., Тарасов, Д. А., Тягунов, А. Г., Цепелев, В. С., Вьюхин, В. В., Левонян, А. Л. & Аношина, О. В., 2023, In: Известия высших учебных заведений. Черная металлургия. 66, 5, p. 564-570 7 p.

    Research output: Contribution to journal › Article › peer-review

  8. 2022

  9. Simulation of the nickel superalloys solvus temperature by the deep learning artificial neural network with differential layer

    Tarasov, D., Tyagunov, A. & Milder, O., 23 Nov 2022, International Conference of Computational Methods in Sciences and Engineering, ICCMSE 2021. Simos, T., Simos, T., Simos, T., Tsitouras, C., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 130008. (AIP Conference Proceedings; vol. 2611).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  10. A method of tone reproduction curves computation by means of gradation trajectories in the form of Bézier curves

    Tarasov, D. & Milder, O., Oct 2022, In: Mathematical Methods in the Applied Sciences. 45, 15, p. 8940-8947 8 p.

    Research output: Contribution to journal › Article › peer-review

  11. Determining the ideal initial printing colorants in electrophotography by the discrete gradation trajectories

    Tarasov, D. A. & Milder, O. B., Oct 2022, In: Mathematical Methods in the Applied Sciences. 45, 15, p. 8899-8905 7 p.

    Research output: Contribution to journal › Article › peer-review

  12. Modeling the influence of the composition of refractory elements on the heat resistance of nickel alloys by a deep learning artificial neural network

    Tarasov, D. A., Milder, O. B. & Tiagunov, A. G., Oct 2022, In: Mathematical Methods in the Applied Sciences. 45, 15, p. 8809-8818 10 p.

    Research output: Contribution to journal › Article › peer-review

  13. Data Engineering, Framework Selection, and Individual Element Contribution Consideration in the Alloy Properties Modeling by an Artificial Neural Network

    Tarasov, D., Tyagunov, A. & Milder, O., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 130018. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  14. Deep Learning in Superalloys Rupture Strength Simulation: Combining Different Test Results

    Tarasov, D., Tyagunov, A. & Milder, O., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 130016. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  15. Determining Perimeter of a Letter with Limited Accuracy Using Splitted Bezier Curves

    Tarasov, D. & Milder, O., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 130017. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  16. Determining the Area of a Letter Using Bezier Curves of the Third Order in Matrix Form

    Tarasov, D. & Milder, O., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 130015. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  17. Specific Compactness as a Criterion for Classifying the Text by Functional Style

    Tarasov, D. & Tarasova, T., 6 Apr 2022, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2020. Simos, T. E., Simos, T. E., Simos, T. E., Simos, T. E. & Tsitouras, C. (eds.). American Institute of Physics Inc., 130014. (AIP Conference Proceedings; vol. 2425).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  18. Method for Assessing the Structural Stability of Refractory Nickel Alloys Based on Determination of Parameter PS of Phase Stability

    Tyagunov, A. G., Tarasov, D. A., Milder, O. B. & Savin, G. O., 2022, In: Metal Science and Heat Treatment. 64, 1-2, p. 117-120 4 p.

    Research output: Contribution to journal › Article › peer-review

  19. МЕТОД ОЦЕНКИ СТРУКТУРНОЙ СТАБИЛЬНОСТИ ЖАРОПРОЧНЫХ НИКЕЛЕВЫХ СПЛАВОВ НА ОСНОВЕ ОПРЕДЕЛЕНИЯ ПАРАМЕТРА ФАЗОВОЙ СТАБИЛЬНОСТИ PS

    Тягунов, А. Г., Тарасов, Д. А., Мильдер, О. Б. & Савин, Г. О., 2022, In: Металловедение и термическая обработка металлов. 2 (800), p. 49-52 5 p.

    Research output: Contribution to journal › Article › peer-review

  20. 2021

  21. Simulation of the Dynamics of Changing the Heat Resistance of Nickel Alloys by Machine Learning Methods

    Tyagunov, A. G., Tarasov, D. A. & Mil’der, O. B., Jul 2021, In: Physics of Metals and Metallography. 122, 7, p. 704-709 6 p.

    Research output: Contribution to journal › Article › peer-review

  22. The Melt Heat Treatment and the Structural Changes in ZhS6U and Inconel 718

    Tarasov, D., Tyagunov, A. & Milder, O., 28 Apr 2021, In: Journal of Physics: Conference Series. 1888, 1, 012005.

    Research output: Contribution to journal › Conference article › peer-review

  23. Gray Balance Adjusting in Electrophotography by Means of Discrete Geodesics of Gradation Surfaces

    Tarasov, D. A. & Milder, O. B., Mar 2021, In: Journal of Mathematical Imaging and Vision. 63, 3, p. 417-427 11 p.

    Research output: Contribution to journal › Article › peer-review

  24. Detection of the liquid-liquid transitions in superalloys melts upon overheating and relaxation by the electromagnetic method

    Tyagunov, A., Tyagunov, G., Milder, O. & Tarasov, D., 7 Jan 2021, In: Journal of Applied Physics. 129, 1, 10 p., 015107.

    Research output: Contribution to journal › Article › peer-review

  25. LLT structural changes in metal liquids as a basis for a thermal treatment technology of melts: a review

    Tyagunov, A., Milder, O., Tarasov, D. & Tyagunov, G., 2 Jan 2021, In: Phase Transitions. 94, 1, p. 1-22 22 p.

    Research output: Contribution to journal › Review article › peer-review

  26. Modeling the tensile strengths of nickel-based superalloys at a wide range of isothermal exposures by artificial neural networks

    Tarasov, D., Tyagunov, A. & Milder, O., 2021, Polymer Science and Engineering II. Kida, K. (ed.). Trans Tech Publications Ltd., p. 85-90 6 p. (Key Engineering Materials; vol. 888 KEM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  27. МОДЕЛИРОВАНИЕ ДИНАМИКИ ИЗМЕНЕНИЯ ЖАРОПРОЧНОСТИ НИКЕЛЕВЫХ СПЛАВОВ МЕТОДАМИ МАШИННОГО ОБУЧЕНИЯ

    Тягунов, А. Г., Тарасов, Д. А. & Мильдер, О. Б., 2021, In: Физика металлов и металловедение. 122, 7, p. 754-759 6 p.

    Research output: Contribution to journal › Article › peer-review

  28. Применение искусственных нейронных сетей в материаловедении: учебное пособие

    Тягунов, А. Г., Мильдер, О. Б., Тарасов, Д. А., Сергеев, А. П., Колмогоров, Ю. Н. (ed.), Мартюшев, Л. М. & Акимова, Е. Н., 2021, Екатеринбург: Издательство Уральского университета. 68 p.

    Research output: Book/Report › Scholarly edition › peer-review

  29. ТОЧНАЯ ЭМПИРИЧЕСКАЯ ФОРМУЛА ОПРЕДЕЛЕНИЯ ПЛОТНОСТИ ЖАРОПРОЧНЫХ НИКЕЛЕВЫХ СПЛАВОВ

    Тарасов, Д. А., Мильдер, О. Б. & Тягунов, А. Г., 2021, In: Letters on Materials. 11, 2 (42), p. 192-197 6 p.

    Research output: Contribution to journal › Article › peer-review

  30. 2020

  31. Studying recognition dynamics of monochrome symbolic images by a rapid serial visual presentation method

    Tarasova, T., Sergeev, A. & Tarasov, D., 9 Dec 2020, VII International Young Researchers'' Conference - Physics, Technology, Innovations, PTI 2020. Volkovich, V. A., Kashin, I. V., Smirnov, A. A. & Narkhov, E. D. (eds.). American Institute of Physics Inc., 4 p. 070028. (AIP Conference Proceedings; vol. 2313).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  32. Approximating heat resistance of nickel-based superalloys by a sigmoid

    Tarasov, D. A., Tyagunov, A. G. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140019. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  33. Gradation trajectories of ideal initial printing colorants in electrophotography: Discrete computation

    Tarasov, D. A. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140016. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  34. Modeling the heat resistance of nickel-based superalloys by a deep learning neural network

    Tarasov, D. A., Tyagunov, A. G. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140020. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  35. Printing paper as a reflector with idealized properties: How to link the paper industry and printing art

    Tarasov, D. A., Tyagunov, A. G. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140017. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  36. The forward problem of spectral reflection prediction: Mutual match between framework selection and the training set volume

    Tarasov, D. A. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140011. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  37. The inverse problem of spectral reflection prediction: Problems of framework selection

    Tarasov, D. A. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140012. (AIP Conference Proceedings; vol. 2293).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  38. МОДЕЛИРОВАНИЕ ИЗМЕНЕНИЯ ПРЕДЕЛА ДЛИТЕЛЬНОЙ ПРОЧНОСТИ СПЛАВОВ НА ОСНОВЕ НИКЕЛЯ С ИСПОЛЬЗОВАНИЕМ БАЙЕСОВСКИХ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ

    Anoshina, O. V., Trubnikova, A. S., Milder, O. B., Tarasov, D. A., Ganeev, A. A. & Tyagunov, A. G., Feb 2020, In: Letters on Materials. 10, 1, p. 106-111 6 p.

    Research output: Contribution to journal › Article › peer-review

  39. Basic mathematics of color space invariants

    Milder, O. & Tarasov, D., 1 Jan 2020, In: WSEAS Transactions on Mathematics. 19, p. 11-16 6 p.

    Research output: Contribution to journal › Article › peer-review

  40. МАТЕМАТИКА И ПРАКТИКА ИНВАРИАНТОВ ЦВЕТОВЫХ ПРОСТРАНСТВ НА ПРИМЕРЕ ОПРЕДЕЛЕНИЯ БАЛАНСА ПО СЕРОМУ ДЛЯ ЦИФРОВОЙ ПЕЧАТНОЙ СИСТЕМЫ

    Tarasov, D. A. & Milder, O. B., 1 Jan 2020, In: Computer Optics. 44, 1, p. 117-126 10 p.

    Research output: Contribution to journal › Article › peer-review

  41. ARTIFICIAL NEURAL NETWORKS AS AN INTERPOLATION METHOD FOR ESTIMATION OF CHEMICAL ELEMENT CONTENTS IN THE SOIL: chapter in book

    Buevich, A. G., Sergeev, A. P., Tarasov, D. A. & Medvedev, A. N., 2020, ADVANCES IN INFORMATION TECHNOLOGIES, TELECOMMUNICATION, AND RADIOELECTRONICS: сборник статей. Kumkov, S., Shabunin, S. & Syngellakis, S. (eds.). Cham: Springer, p. 115-122 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  42. Evaluation of color measurement accuracy and its dependence on time for hand-held print-art spectrophotometers

    Tarasov, D. A. & Milder, O. B., 2020, In: Mathematical Methods in the Applied Sciences. 43, 17, p. 9735-9744 10 p.

    Research output: Contribution to journal › Article › peer-review

  43. EXAMINATION OF THE CLARIFICATION EFFECT UNDER COLORIMETRIC OBJECT ILLUMINATION: chapter in book

    Arapova, S. P., Arapov, S. Y., Tarasov, D. A. & Sergeev, A. P., 2020, ADVANCES IN INFORMATION TECHNOLOGIES, TELECOMMUNICATION, AND RADIOELECTRONICS: сборник статей. Kumkov, S., Shabunin, S. & Singellakis, S. (eds.). Cham: Springer, p. 65-71 7 p. (Сер. Innovation and Discovery in Russian Science and Engineering (IDRSE)).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  44. Language attribution of an unmarked text corpus

    Tarasov, D., 2020, In: WSEAS Transactions on Systems and Control. 15, p. 754-759 6 p.

    Research output: Contribution to journal › Article › peer-review

  45. 2019

  46. The Inverse Problem of Spectral Reflection Prediction by Artificial Neural Networks: Neugebauers Primaries vs. Recipes

    Tarasov, D. & Milder, O., Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 580-583 4 p. 8958131. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  47. Discrete approach for gradation surfaces in grey balance adjusting

    Tarasov, D. A. & Milder, O. B., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 200017. (AIP Conference Proceedings; vol. 2116).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  48. Gradation trajectories of binaries as geodesics of gradation surfaces: Discrete approach

    Tarasov, D. A. & Milder, O. B., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 200016. (AIP Conference Proceedings; vol. 2116).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  49. Application of Bayesian Artificial Neural Networks for Modeling the Dependence of Nickel-Based Superalloys' Ultimate Tensile Strength on Their Chemical Composition

    Tarasov, D., Milder, O. & Tyagunov, A., May 2019, Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019. Institute of Electrical and Electronics Engineers Inc., p. 54-60 7 p. 9057165. (Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  50. Discrete Gradation Surfaces Computation in Electrophotography

    Tarasov, D. & Milder, O., May 2019, Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019. Institute of Electrical and Electronics Engineers Inc., p. 225-230 6 p. 9057191. (Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  51. Discrete Gradation Trajectories Computation in Electrophotography

    Tarasov, D. & Milder, O., May 2019, Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019. Institute of Electrical and Electronics Engineers Inc., p. 207-212 6 p. 9057182. (Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  52. Application of artificial neural networks for prediction of nickel-based superalloys service properties based on the chemical composition

    Tyagunov, A., Milder, O. & Tarasov, D., 1 Jan 2019, In: WSEAS Transactions on Environment and Development. 15, p. 113-119 7 p.

    Research output: Contribution to journal › Article › peer-review

  53. Application of gradation trajectories to a Yule–Nielsen spectral neugebauer model

    Milder, O. & Tarasov, D., 1 Jan 2019, In: WSEAS Transactions on Systems and Control. 14, p. 404-410 7 p., 49.

    Research output: Contribution to journal › Article › peer-review

  54. Deep learning in simulation of nickel-based superalloys ultimate tensile strength: Accounting the role of alloying elements

    Tyagunov, A., Milder, O. & Tarasov, D., 1 Jan 2019, In: WSEAS Transactions on Environment and Development. 15, p. 340-345 6 p., 38.

    Research output: Contribution to journal › Article › peer-review

  55. Modeling ultimate tensile strength and phase stability of nickel-based superalloys different generations

    Tyagunov, A., Milder, O. & Tarasov, D., 1 Jan 2019, In: WSEAS Transactions on Environment and Development. 15, p. 586-592 7 p.

    Research output: Contribution to journal › Article › peer-review

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