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 journalConference articlepeer-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 journalConference articlepeer-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 journalArticlepeer-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/ReportScholarly editionpeer-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 journalArticlepeer-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 journalArticlepeer-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 proceedingConference contributionpeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalConference articlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalReview articlepeer-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 proceedingConference contributionpeer-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 journalArticlepeer-review

  28. 2020
  29. 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 proceedingConference contributionpeer-review

  30. 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 proceedingConference contributionpeer-review

  31. 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 proceedingConference contributionpeer-review

  32. 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 proceedingConference contributionpeer-review

  33. 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 proceedingConference contributionpeer-review

  34. 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 proceedingConference contributionpeer-review

  35. 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 proceedingConference contributionpeer-review

  36. 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 journalArticlepeer-review

  37. 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 proceedingChapterpeer-review

  38. 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 journalArticlepeer-review

  39. 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 proceedingChapterpeer-review

  40. 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 journalArticlepeer-review

  41. 2019
  42. 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 proceedingConference contributionpeer-review

  43. 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 proceedingConference contributionpeer-review

  44. 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 proceedingConference contributionpeer-review

  45. 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 proceedingConference contributionpeer-review

  46. 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 proceedingConference contributionpeer-review

  47. 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 proceedingConference contributionpeer-review

  48. 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 journalArticlepeer-review

  49. 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 journalArticlepeer-review

  50. 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 journalArticlepeer-review

  51. 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 journalArticlepeer-review

  52. Nickel-based superalloys heat resistance BRANN simulation and analytical approximation

    Tyagunov, A., Milder, O. & Tarasov, D., 1 Jan 2019, In: WSEAS Transactions on Environment and Development. 15, p. 288-296 9 p., 32.

    Research output: Contribution to journalArticlepeer-review

  53. Paper microelement composition and its effect on components of the color difference dE94 in the paper shade

    Tarasov, D., Milder, O. & Tyagunov, A., 1 Jan 2019, In: WSEAS Transactions on Environment and Development. 15, p. 89-94 6 p.

    Research output: Contribution to journalArticlepeer-review

  54. The artificial neural network structure selection algorithm in the direct task of spectral reflection prediction

    Milder, O., Tarasov, D. & Tyagunov, A., 1 Jan 2019, In: WSEAS Transactions on Systems and Control. 14, p. 65-70 6 p., 9.

    Research output: Contribution to journalArticlepeer-review

  55. РАНЖИРОВАНИЕ СПЕКТРОВ ОТРАЖЕНИЯ ПЕЧАТНЫХ БУМАГ МЕТОДОМ КЛАСТЕРНОГО АНАЛИЗА

    Тягунов, А. Г., Тарасов, Д. А., Мильдер, О. Б., Трубникова, А. С. & Сыдихов, А. Ш., 2019, In: Южно-Сибирский научный вестник. 1(25), p. 141-146

    Research output: Contribution to journalArticlepeer-review

  56. 2018
  57. An effect of the paper microelement composition on components of the color difference dE94 in paper whiteness assesment

    Tarasov, D., Milder, O. & Tyagunov, A., Dec 2018, Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018. Institute of Electrical and Electronics Engineers Inc., p. 228-231 4 p. 8910125. (Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  58. Application of artificial neural networks for the replenishment of nickel-based superalloys catalogues

    Tarasov, D., Milder, O. & Tyagunov, A., Dec 2018, Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018. Institute of Electrical and Electronics Engineers Inc., p. 41-44 4 p. 8910075. (Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  59. On the direct problem of spectral reflection prediction by artificial neural networks: Framework selection

    Milder, O., Tarasov, D. & Tyagunov, A., Dec 2018, Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018. Institute of Electrical and Electronics Engineers Inc., p. 406-410 5 p. 8910127. (Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  60. A method for language attribution based on assessment of text irregularity

    Tarasov, D. A., 27 Jul 2018, Mathematical Methods and Computational Techniques in Science and Engineering II. Bardis, N. (ed.). American Institute of Physics Inc., Vol. 1982. 6 p. 020006. (AIP Conference Proceedings; vol. 1982).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  61. Multilayer perceptron, generalized regression neural network, and hybrid model in predicting the spatial distribution of impurity in the topsoil of urbanized area

    Subbotina, I. E., Buevich, A. G., Shichkin, A. V., Sergeev, A. P., Tarasov, D. A., Tyagunov, A. G., Sergeeva, M. V. & Baglaeva, E. M., 27 Jul 2018, Mathematical Methods and Computational Techniques in Science and Engineering II. Bardis, N. (ed.). American Institute of Physics Inc., Vol. 1982. 7 p. 020004. (AIP Conference Proceedings; vol. 1982).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  62. Artificial neural networks selection for soil chemical elements distribution prediction

    Tarasov, D., Vasilev, J., Sergeev, A. & Mokrushin, A., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. Tsitouras, C., Simos, T., Simos, T., Simos, T., Simos, T. & Simos, T. (eds.). American Institute of Physics Inc., Vol. 1978. 440025

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  63. Chromium distribution forecasting using multilayer perceptron neural network and multilayer perceptron residual kriging

    Tarasov, D., Buevich, A., Shichkin, A., Subbotina, I., Tyagunov, A. & Baglaeva, E., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440019

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  64. Comparison of different models for the chromium distribution forecasting in topsoil in subarctic Novy Urengoy city

    Sergeev, A., Shichkin, A., Tarasov, D., Sydikhov, A., Sergeeva, M. & Atanasova, T., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440005

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  65. Forecasting of chromium distribution in subarctic noyabrsk using generalized regression neural networks and multilayer perceptron

    Tarasov, D., Buevich, A., Shichkin, A. & Vasilev, J., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440024

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  66. Inverse problem of spectral reflection prediction by artificial neural networks: Preliminary results

    Tarasov, D., Milder, O. & Tyagunov, A., 13 Jun 2018, Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 144-147 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  67. Fluid structure interaction analysis on failure of francis turbine runner blades

    Salary, A., Verlinski, S., Levonyan, H., Tyagunov, A. & Tarasov, D., 1 Mar 2018, In: ARPN Journal of Engineering and Applied Sciences. 13, 5, p. 1906-1911 6 p.

    Research output: Contribution to journalArticlepeer-review

  68. Failure analysis and crack estimation in a hydro runner blades

    Salary, A., Verlinski, S., Levonyan, H., Tyagunov, A. & Tarasov, D., 1 Jan 2018, In: International Journal of Pure and Applied Mathematics. 119, 12, p. 12841-12848 8 p.

    Research output: Contribution to journalArticlepeer-review

  69. Gradation Surfaces as a Method for Multi-color Ink-Jet Printers Color Specifications Management

    Milder, O. & Tarasov, D., 1 Jan 2018, Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Paul, M., Hitoshi, C. & Huang, Q. (eds.). Springer Verlag, Vol. 10749 LNCS. p. 53-61 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10749 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  70. High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

    Tarasov, D. A., Buevich, A. G., Sergeev, A. P. & Shichkin, A. V., 1 Jan 2018, In: Applied Geochemistry. 88, p. 188-197 10 p.

    Research output: Contribution to journalArticlepeer-review

  71. Ink-Jet Printer’s Characterization by 3D Gradation Trajectories on an Equidistant Color Difference Basis

    Milder, O. & Tarasov, D., 1 Jan 2018, Image and Video Technology - 8th Pacific-Rim Symposium, PSIVT 2017, Revised Selected Papers. Paul, M., Hitoshi, C. & Huang, Q. (eds.). Springer Verlag, Vol. 10749 LNCS. p. 40-52 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10749 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  72. Plastic tension of porous plates due pure bending

    Levonyan, H. L., Verlinski, S. V., Tyagunov, A. G. & Tarasov, D. A., 1 Jan 2018, In: International Journal of Engineering and Technology(UAE). 7, 2.23 Special Issue 23, p. 328-331 4 p.

    Research output: Contribution to journalArticlepeer-review

  73. Spectral reflection prediction by artificial neural network

    Milder, O. B. & Tarasov, D. A., 1 Jan 2018, In: CEUR Workshop Proceedings. 2076, p. 86-95 10 p.

    Research output: Contribution to journalConference articlepeer-review

  74. 2017
  75. MODIFICATION OF THE PSYCHOPHYSICAL MODEL OF THE SIGNAL DETECTION THEORY FOR SOLVING SENSORY TASKS WITH SIGN-ALTERNATING DIFFERENTIAL STIMULI

    Sergeev, A., Tarasov, D., Arapov, S., Korolkova, D., Sergeeva, M., Kiselev, S. & Lvova, O., Dec 2017, In: Psychophysiology. 54, p. S104-S104 1 p.

    Research output: Contribution to journalMeeting Abstractpeer-review

  76. A hybrid method for assessment of soil pollutants spatial distribution

    Tarasov, D. A., Medvedev, A. N., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 21 Jul 2017, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. American Institute of Physics Inc., Vol. 1863. 050015

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  77. Review and possible development direction of the methods for modeling of soil pollutants spatial distribution

    Tarasov, D. A., Medvedev, A. N., Sergeev, A. P. & Buevich, A. G., 21 Jul 2017, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. American Institute of Physics Inc., Vol. 1863. 050014

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  78. High variation subarctic topsoil pollutant concentration prediction using neural network residual kriging

    Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Subbotina, I. E., Shichkin, A. V., Sergeeva, M. V. & Lvova, O. A., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020023

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  79. Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

    Sergeev, A. P., Tarasov, D. A., Buevich, A. G., Shichkin, A. V., Tyagunov, A. G. & Medvedev, A. N., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020033

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  80. Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic

    Tarasov, D. A., Buevich, A. G., Sergeev, A. P., Shichkin, A. V. & Baglaeva, E. M., 5 Jun 2017, Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836. 020024

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  81. Grey balance adjusting in image processing using gradation trajectories

    Milder, O. B. & Tarasov, D. A., 1 Jan 2017, In: CEUR Workshop Proceedings. 2005, p. 65-74 10 p.

    Research output: Contribution to journalArticlepeer-review

  82. Inkjet printers linearization using 3D gradation curves

    Milder, O. B., Tarasov, D. A. & Titova, M. Y., 2017, In: CEUR Workshop Proceedings. 1814, p. 74-83 10 p.

    Research output: Contribution to journalArticlepeer-review

  83. Анализ оптических свойств бумаг и картонов спектрофотометрическим методом

    ТАРАСОВ, Д. А., АРАПОВ, С. Ю., МИЛЬДЕР, О. Б., ТЯГУНОВ, А. Г. & ИБРАЕВА, Ж. Е., 2017, In: Ремонт. Восстановление. Модернизация. 6, p. 32-35 4 p.

    Research output: Contribution to journalArticlepeer-review

  84. Введение в нейросетевое моделирование: учебное пособие

    Сергеев, А. П., Тарасов, Д. А. & Сергеев, А. П. (ed.), 2017, Екатеринбург: Издательство Уральского университета. 128 p.

    Research output: Book/ReportScholarly editionpeer-review

  85. Искусственные нейронные сети и геостатистика в прогнозировании распределения химических элементов на фоновой площадке

    Буевич, А. Г., Сергеев, А. П., Тарасов, Д. А., Рахматова, А. Ю. & Крамаренко, А. А., 2017, In: Геоэкология. Инженерная геология, гидрогеология, геокриология. 2, p. 74-82 9 p.

    Research output: Contribution to journalArticlepeer-review

  86. ИСКУССТВЕННЫЕ НЕЙРОННЫЕ СЕТИ КАК МЕТОД ИНТЕРПОЛЯЦИИ ДЛЯ ОЦЕНКИ СОДЕРЖАНИЯ ХИМИЧЕСКИХ ЭЛЕМЕНТОВ В ПОЧВЕ: статья в сборнике статей

    Буевич, А. Г., Рахматова, А. Ю., Сергеев, А. П. & Тарасов, Д. А., 2017, ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, ТЕЛЕКОММУНИКАЦИИ И СИСТЕМЫ УПРАВЛЕНИЯ: сборник статей. Круглов, А. В. (ed.). Москва: Общество с ограниченной ответственностью "Эдитус", p. 87-99

    Research output: Chapter in Book/Report/Conference proceedingChapter

  87. КОЛИЧЕСТВЕННАЯ ОЦЕНКА РАСТРОВЫХ ИЗОБРАЖЕНИЙ ШРИФТОВ: статья в сборнике статей

    Сыдихов, А. Ш., Королькова, Д. А., Тарасов, Д. А. & Сергеев, А. П., 2017, ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, ТЕЛЕКОММУНИКАЦИИ И СИСТЕМЫ УПРАВЛЕНИЯ: сборник статей. Круглов, А. В. (ed.). Москва: Общество с ограниченной ответственностью "Эдитус", p. 226-234

    Research output: Chapter in Book/Report/Conference proceedingChapter

  88. Методы и средства научных исследований: учебное пособие

    Колмогоров, Ю. Н., Сергеев, А. П., Тарасов, Д. А., Арапова, С. П. & Тягунов, А. Г. (ed.), 2017, Екатеринбург: Издательство Уральского университета. 152 p.

    Research output: Book/ReportScholarly editionpeer-review

  89. Специальные виды печати: учебное пособие

    Тягунов, А. Г., Тарасов, Д. А., Сергеев, А. П., Колмогоров, Ю. Н. & Тягунов, А. Г. (ed.), 2017, Екатеринбург: Издательство Уральского университета. 164 p.

    Research output: Book/ReportScholarly editionpeer-review

  90. 2016
  91. Modeling of Surface Dust Concentrations Using Neural Networks and Kriging

    Buevich, A. G., Medvedev, A. N., Sergeev, A. P., Tarasov, D. A., Sergeeva, M. V. & Atanasova, T. B., 16 Dec 2016, APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE'16). Pasheva, Popivanov, N. & Venkov, G. (eds.). American Institute of Physics Publising LLC, Vol. 1789. 8 p. 020004. (AIP Conference Proceedings; vol. 1789).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  92. Некоторые пространственные характеристики шрифта как предикторы скорости чтения

    Тарасов, Д. А., Сергеев, А. П., Тягунов, А. Г. & Сыдихов, А. Ш., 2016, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 1, p. 31-39 9 p.

    Research output: Contribution to journalArticlepeer-review

  93. Предикторы скорости чтения электронных текстов

    Тарасов, Д. А., Сергеев, А. П. & Тягунов, А. Г., 2016, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 2, p. 55-68 14 p.

    Research output: Contribution to journalArticlepeer-review

  94. 2015
  95. Irregularity as a quantitative assessment of font drawing and its effect on the reading speed

    Tarasov, D. & Sergeev, A., 2015, CEUR Workshop Proceedings. CEUR-WS, Vol. 1452. p. 177-182 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  96. Legibility of textbooks: a literature review

    Tarasov, D. A., Sergeev, A. P. & Filimonov, V. V., 2015, INTERNATIONAL CONFERENCE ON NEW HORIZONS IN EDUCATION, INTE 2014. Iaman, A. & Eskicumali, A. (eds.). Elsevier BV, p. 1300-1308 9 p. (Procedia Social and Behavioral Sciences; vol. 174).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  97. Qualimetric researches of educational resources: standardizing of light conditions in the light booth

    Sergeev, A. P., Tarasov, D. A., Arapov, S. Y. & Arapova, S. P., 2015, INTERNATIONAL CONFERENCE ON NEW HORIZONS IN EDUCATION, INTE 2014. Iaman, A. & Eskicumali, A. (eds.). Elsevier BV, p. 1285-1291 7 p. (Procedia Social and Behavioral Sciences; vol. 174).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  98. ЗРЕНИЕ И ЧТЕНИЕ: монография

    Тарасов, Д. А. & Тягунов, А. Г. (ed.), 2015, Екатеринбург: Издательство Уральского университета. 76 p.

    Research output: Book/ReportBookpeer-review

  99. ОЦЕНКА ИЗРЕЗАННОСТИ РАСТРОВОГО ШРИФТА ПО ЕГО БИТОВОМУ ИЗОБРАЖЕНИЮ

    Тарасов, Д. А., Сергеев, А. П. & Тягунов, А. Г., 2015, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 3, p. 60-67 8 p.

    Research output: Contribution to journalArticlepeer-review

  100. 2014
  101. К ВОПРОСУ ОБ ИНТЕГРАЛЬНОЙ КОЛИЧЕСТВЕННОЙ ОЦЕНКЕ ШРИФТА

    Тарасов, Д. А. & Сергеев, А. П., 2014, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 5, p. 35-44 10 p.

    Research output: Contribution to journalArticlepeer-review

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