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  1. Article › Research › Not peer-reviewed

  2. ОЦЕНКА ЗАГРЯЗНЕНИЯ ТЯЖЕЛЫМИ МЕТАЛЛАМИ ГОРОДСКОЙ СРЕДЫ НА ОСНОВЕ ИССЛЕДОВАНИЯ СОВРЕМЕННЫХ АНТРОПОГЕННЫХ ОТЛОЖЕНИЙ

    Селезнев, А. А., Ярмошенко, И. В., Сергеев, А. П., Савастьянова, А. С. & Рахматова, А. Ю., 2016, In: Экологические системы и приборы. 10, p. 39-47 9 p.

    Research output: Contribution to journal › Article

  3. ПРИМЕНЕНИЕ ГЕОСТАТИСТИЧЕСКОГО И НЕЙРОСЕТЕВОГО ПОДХОДА ДЛЯ ОЦЕНКИ ПОВЕРХНОСТНОГО РАСПРЕДЕЛЕНИЯ ПРИМЕСЕЙ В СНЕГОВОМ ПОКРОВЕ НА ТЕРРИТОРИИ МИКРОРАЙОНА АКАДЕМИЧЕСКИЙ ГОРОДА ЕКАТЕРИНБУРГА

    Буевич, А. Г., Сергеев, А. П., Шичкин, А. В., Медведева, М. А. & Баглаева, Е. М., 2016, In: Экологические системы и приборы. 10, p. 3-17 15 p.

    Research output: Contribution to journal › Article

  4. Article › Research › Peer-reviewed

  5. A permutation approach to evaluating the performance of a forecasting model of methane content in the atmospheric surface layer of arctic region

    Sergeev, A., Shichkin, A., Baglaeva, E., Buevich, A. & Butorova, A., 1 Feb 2024, In: Atmospheric Pollution Research. 15, 2, 102000.

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

  6. A two-step combined algorithm based on NARX neural network and the subsequent prediction of the residues improves prediction accuracy of the greenhouse gases concentrations

    Buevich, A., Sergeev, A., Shichkin, A. & Baglaeva, E., Mar 2021, In: Neural Computing and Applications. 33, 5, p. 1547-1557 11 p.

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

  7. Anamnestic, clinical and laboratory features of the acute period of ischemic stroke in young patients

    Gusev, V. V., Kovtun, O. P., Lvova, O. A., Partylova, E. A., Sergeev, A. P., Sergeeva, M. V., Yanchuk, I. T., Dobrazova, D. A., Suvorkov, P. A. & Shamalov, N. A., 2022, In: Nevrologiya, Neiropsikhiatriya, Psikhosomatika. 14, 3, p. 12-18 7 p.

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

  8. Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

    Sergeev, A. P., Buevich, A. G., Baglaeva, E. M. & Shichkin, A. V., 1 Mar 2019, In: Catena. 174, p. 425-435 11 p.

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

  9. Counter-prediction approach to predict the missing values of a spatial series on the example of the dustiness in the snow cover

    Sergeev, A. P., Shichkin, A. V., Buevich, A. G. & Baglaeva, E. M., 1 Jun 2023, In: Modeling Earth Systems and Environment. 9, 2, p. 1523-1530 8 p.

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

  10. Forecasting of some greenhouse gases content trend in the air of the Russian Arctic region

    Baglaeva, E., Buevich, A., Sergeev, A., Rakhmatova, A. & Shichkin, A., Feb 2021, In: Atmospheric Pollution Research. 12, 2, p. 68-75 8 p.

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

  11. Generalization of the classical signal detection theory for the less-equal-more task

    Sergeev, A., Rakhmatova, A., Buevich, A., Symanyuk, E. & Pavlova, S., 15 Sept 2020, In: Mathematical Methods in the Applied Sciences. 43, 13, p. 7834-7840 7 p.

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

  12. 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 journal › Article › peer-review

  13. Influence of prematurity as a risk factor on neurocognitive functions development at the age of 5, 10 and 14 months

    Chegodaev, D., Bakushkina, N., Lvova, O., Sergeev, A., Suleymanova, E., Tuktareva, I. & Rahmatova, A., 1 Oct 2018, In: International Journal of Psychophysiology. 131, p. S182

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

  14. Invariance of specific mass increment in the case of non-equilibrium growth

    Martyushev, L. M., Sergeev, A. P. & Terentiev, P. S., 1 Sept 2015, In: Chinese Physics B. 24, 9, 3 p., 090502.

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

  15. Method for reconstructing the initial baseline relationship between potentially harmful element and conservative element concentrations in urban puddle sediment

    Seleznev, A. A., Yarmoshenko, I. V. & Sergeev, A. P., 15 Sept 2018, In: Geoderma. 326, p. 1-8 8 p.

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

  16. Particulate matter size distribution in air surface layer of Middle Ural and Arctic territories

    Baglaeva, E. M., Sergeev, A. P., Buevich, A. G., Subbotina, I. E. & Shichkin, A. V., 1 Jul 2019, In: Atmospheric Pollution Research. 10, 4, p. 1220-1226 7 p.

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

  17. The Effect of Splitting of Raw Data into Training and Test Subsets on the Accuracy of Predicting Spatial Distribution by a Multilayer Perceptron

    Baglaeva, E. M., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 1 Jan 2020, In: Mathematical Geosciences. 52, 1, p. 111-121 11 p.

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

  18. The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil

    Baglaeva, E. M., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., Dec 2021, In: Catena. 207, 8 p., 105699.

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

  19. The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder

    Pitsik, E. N., Maximenko, V. A., Kurkin, S. A., Sergeev, A. P., Stoyanov, D., Paunova, R., Kandilarova, S., Simeonova, D. & Hramov, A. E., 1 Feb 2023, In: Chaos, Solitons and Fractals. 167, 113041.

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

  20. АВТОМАТИЗИРОВАННЫЙ ПРОСМОТРОВЫЙ КОМПЛЕКС ДЛЯ ИССЛЕДОВАНИЙ ЦВЕТОПЕРЕДАЧИ ПРИ RGB-СВЕТОДИОДНОМ ОСВЕЩЕНИИ

    Арапова, С. П., Арапов, С. Ю., Солодова, М. С. & Сергеев, А. П., 2015, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 6, p. 3-11 9 p.

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

  21. Биоиндикация урбанизированных почв Шарташского лесопарка города Екатеринбурга с использованием Raphanus Sativus

    Баглаева, Е. М., Рахматова, А. Ю., Крамаренко, А. А. & Сергеев, А. П., 2016, In: Принципы экологии. 2, p. 16-26 11 p.

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

  22. ВАРИАНТЫ ПРОГНОЗИРОВАНИЯ ИСХОДОВ ИШЕМИЧЕСКОГО ИНСУЛЬТА У ЛИЦ МОЛОДОГО ВОЗРАСТА

    Гусев, В. В., Львова, О. А., Ковтун, О. П., Шамалов, Н. А., Сергеев, А. П., Сергеева, М. В. & Медведева, Д. А., 2024, In: Пермский медицинский журнал. 41, 2, p. 87-95 9 p.

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

  23. ВЛИЯНИЕ КОМБИНАЦИЙ ГЕНЕТИЧЕСКИХ ПОЛИМОРФИЗМОВ НА ВЕРОЯТНОСТЬ ВОЗНИКНОВЕНИЯ ИНВАЛИДНОСТИ ПОСЛЕ ПЕРЕНЕСЕННОГО В ДЕТСТВЕ ИШЕМИЧЕСКОГО ИНСУЛЬТА

    Львова, О. А., Косаченко, А. И., Буторова, А. С., Сергеева, М. В. & Сергеев, А. П., 2019, In: Уральский медицинский журнал. 13 (181), p. 52-56 5 p.

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

  24. Двухшаговый комбинированный алгоритм повышения точности прогнозирования концентрации метана в атмосферном воздухе на основе нейронной сети NARX и последующего прогнозирования невязок

    Субботина, И. Е., Буевич, А. Г., Сергеев, А. П., Шичкин, А. В., Баглаева, Е. М. & Ремезова, М. С., 2020, In: Арктика: Экология и экономика. 38, 2 (38), p. 59-67 9 p.

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

  25. ДИСПЕРСНЫЙ СОСТАВ ПЫЛИ ПРИЗЕМНОГО СЛОЯ АТМОСФЕРЫ УРБАНИЗИРОВАННОЙ ТЕРРИТОРИИ ПО ДАННЫМ ЭКОЛОГИЧЕСКОГО СКРИНИНГА НА ПРИМЕРЕ ГОРОДА ЕКАТЕРИНБУРГА

    Субботина, И. Е., Буевич, А. Г., Сергеев, А. П., Баглаева, Е. М., Семянников, В. С. & Дзвинко, И. В., 2018, In: Экологические системы и приборы. 9, p. 3-10 8 p.

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

  26. ИНТЕРЛИНЬЯЖ КАК ФАКТОР СКОРОСТИ ЧТЕНИЯ НА ПРИМЕРЕ БУМАЖНЫХ И ВЕБ-ТЕКСТОВ

    Тарасов, Д. А., Сергеев, А. П. & Корнилова, Ю. И., 2013, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 2, p. 81-88 8 p.

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

  27. 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 journal › Article › peer-review

  28. 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 journal › Article › peer-review

  29. МОДЕЛИРОВАНИЕ СПЕКТРОВ ОТРАЖЕНИЯ НА ОСНОВЕ БАЗИСА ИЗ ФУНКЦИЙ ТИПА ИНТЕГРАЛА ОШИБОК

    Арапов, С. Ю., Тарасов, Д. А., Сергеев, А. П. & Колмогоров, Ю. Н., 2012, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 6, p. 017-029

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

  30. МОДИФИКАЦИЯ МЕТОДИКИ ИЗУЧЕНИЯ ВЕРТИКАЛЬНОГО РАСПРЕДЕЛЕНИЯ ПЫЛИ И ЕЕ ДИСПЕРСНОГО СОСТАВА В ПРИЗЕМЛЕННОМ СЛОЕ ВОЗДУХА НА ПРИМЕРЕ ГОРОДА ЕКАТЕРИНБУРГА

    Субботина, И. Е., Буевич, А. Г., Сергеев, А. П., Баглаева, Е. М., Косаченко, А. И. & Москалева, А. С., 2019, In: Экологические системы и приборы. 2, p. 3-8

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

  31. НЕКОТОРЫЕ ВОПРОСЫ ВЛИЯНИЯ ИНТЕРЛИНЬЯЖА НА УДОБОЧИТАЕМОСТЬ И СУБЪЕКТИВНО ВОСПРИНИМАЕМОЕ КАЧЕСТВО ТЕКСТОВ В ПОЛИГРАФИИ И ВЕБ-ДИЗАЙНЕ

    Тарасов, Д. А., Колмогоров, Ю. Н. & Сергеев, А. П., 2013, In: Качество. Инновации. Образование. 8(99), p. 56-61 7 p.

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

  32. 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 journal › Article › peer-review

  33. НЕКОТОРЫЕ ЭКОЛОГИЧЕСКИЕ И СОЦИАЛЬНОПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ ВОСПРИЯТИЯ УРБАНИЗИРОВАННОЙ ТЕРРИТОРИИ В ЗАДАЧАХ УПРАВЛЕНИЯ КАЧЕСТВОМ СРЕДЫ ОБИТАНИЯ

    Сергеев, А. П. & Минаева, Н. С., 2012, In: Экология урбанизированных территорий. 4, p. 12-17 6 p.

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

  34. 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 journal › Article › peer-review

  35. ОЦЕНКА ПОГРЕШНОСТИ РЕКОНСТРУКЦИИ СПЕКТРОВ ОТРАЖЕНИЯ ТЕСТОВЫХ ПОЛЕЙ ПО ДАННЫМ МУЛЬТИСПЕКТРАЛЬНОЙ ФОТОСЪЕМКИ

    Арапов, С. Ю., Арапова, С. П., Дубинин, И. С. & Сергеев, А. П., 2015, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 3, p. 68-77 10 p.

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

  36. ОЦЕНКА СОДЕРЖАНИЯ ВТОРИЧНЫХ МИНЕРАЛЬНЫХ РЕСУРСОВ В ПРУДАХ-ОСВЕТЛИТЕЛЯХ ШАХТНЫХ ВОД МЕСТОРОЖДЕНИЙ ЦВЕТНЫХ МЕТАЛЛОВ

    Баглаева, Е. М., Буевич, А. Г., Сергеев, А. П. & Тарасов, Д. А., 2017, In: Экологические системы и приборы. 3, p. 22-30 9 p.

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

  37. ПОВЕРХНОСТНАЯ ИНТЕРПОЛЯЦИЯ СОДЕРЖАНИЙ ТЯЖЕЛЫХ МЕТАЛЛОВ В ПОЧВЕ МЕТОДАМИ МАШИННОГО ОБУЧЕНИЯ

    Буевич, А. Г., Буторова, А. С., Косаченко, А. И., Шичкин, А. В. & Сергеев, А. П., 2019, In: Геоинформатика. 1, p. 36-43 8 p.

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

  38. ПОДБОР ТИПА И СТРУКТУРЫ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ ОЦЕНКИ РАСПРЕДЕЛЕНИЯ ХИМИЧЕСКИХ ЭЛЕМЕНТОВ В ВЕРХНЕМ СЛОЕ ПОЧВЫ

    Мокрушин, А. А., Тарасов, Д. А., Сергеев, А. П., Буевич, А. Г. & Баглаева, Е. М., 2017, In: Экологические системы и приборы. 8, p. 36-48 13 p.

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

  39. 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 journal › Article › peer-review

  40. ПРИМЕНЕНИЕ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ ВОССТАНОВЛЕНИЯ ГЕОХИМИЧЕСКИХ ПОЛЕЙ ПОВЕРХНОСТНОГО СЛОЯ ПОЧВЫ НА ПРИМЕРЕ МАЛОЙ ПЛОЩАДКИ

    Некурящих, А. А., Сергеев, А. П., Буевич, А. Г., Баглаева, Е. М., Медведев, А. Н. & Сергеева, М. В., 2014, In: Экологические системы и приборы. 11, p. 15-23 9 p.

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

  41. ПРОСТРАНСТВЕННОЕ РАСПРЕДЕЛЕНИЕ ТЯЖЕЛЫХ МЕТАЛЛОВ В ВЕРХНЕМ СЛОЕ ПОЧВЫ: РЕПРЕЗЕНТАТИВНОСТЬ ИСХОДНЫХ ДАННЫХ ДЛЯ ОБУЧЕНИЯ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ

    Шичкин, А. В., Баглаева, Е. М., Сергеев, А. П., Мамедалиева, А. Ю. & Буевич, А. Г., 2022, In: Экологические системы и приборы. 8, p. 33-42 10 p.

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

  42. РАЗРАБОТКА УНИВЕРСАЛЬНОЙ ПРОСМОТРОВОЙ КАМЕРЫ ДЛЯ КВАЛИМЕТРИЧЕСКИХ ИССЛЕДОВАНИЙ В СООТВЕТСТВИИ С ISO 3664:2009

    Тарасов, Д. А., Арапова, С. П., Арапов, С. Ю. & Сергеев, А. П., 2014, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 1, p. 27-36

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

  43. РАЗРЕШЕНИЕ КАК ПРЕДИКТОР КВАЛИМЕТРИЧЕСКОГО РЕШЕНИЯ НА ПРИМЕРЕ АХРОМАТИЧЕСКИХ ОТТИСКОВ

    Тарасов, Д. А., Фоминых, О. А., Сергеев, А. П. & Арапова, С. П., 2012, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 6, p. 081-091

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

  44. СРАВНЕНИЕАЛГОРИТМОВ ОБУЧЕНИЯ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ NARX ДЛЯ ПРОГНОЗИРОВАНИЯ ВРЕМЕННЫХ РЯДОВ КОНЦЕНТРАЦИЙ МЕТАНА И УГЛЕКИСЛОГО ГАЗА

    Буторова, А. С., Шичкин, А. В., Буевич, А. Г., Сергеев, А. П., Баглаева, Е. М. & Субботина, И. Е., 2023, In: Экологические системы и приборы. 9, p. 37-45 9 p.

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

  45. ТОЧНОСТЬ МЕТОДОВ СЛУЧАЙНЫЙ ЛЕС И МНОГОСЛОЙНЫЙ ПЕРСЕПТРОН В ЗАДАЧЕ ПРОГНОЗИРОВАНИЯ ИСХОДОВ ДЕТСКИХ ИШЕМИЧЕСКИХ ИНСУЛЬТОВ

    Рахматова, А. Ю., Косаченко, А. И., Москалева, А. С., Львова, О. А., Сергеева, М. В. & Сергеев, А. П., 2017, In: Уральский медицинский журнал. 10(154), p. 58-62 5 p.

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

  46. УЧЕТ ПРОСТРАНСТВЕННЫХ ХАРАКТЕРИСТИК ПОЛОСЫ НАБОРА ТЕКСТА В ФОРМУЛЕ СКОРОСТИ ЧТЕНИЯ

    Тарасов, Д. А., Сергеев, А. П. & Тягунов, А. Г., 2014, In: Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 6, p. 3-10 8 p.

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

  47. Meeting Abstract › Research › Peer-reviewed

  48. Arterial ischaemic stroke in children: Whether or not procoagulant and prothrombotic genes are able to predict the outcome?

    Lvova, O., Sergeev, A., Dron, A., Gusev, V. & Kiselev, S., 2017, In: Brain Injury. 31, 6-7, p. 1000-1001 2 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  49. Demyelinating diseases in childhood: Associations with monophasic course

    Nevmerzhitskaya, K., Sergeev, A., Pavlova, S. & Sergeeva, M., 15 Oct 2019, In: Journal of the Neurological Sciences. 405, 2 p., 104899.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  50. EARLY MOTOR REPERTOIRE ASSESSMENT AND FEATURES OF BEHAVIOR IN INFANTS AT-RISK (THE RESULTS OF PILOT COMMUNICATION)

    Lvova, O., Palchik, A., Suleymanova, E., Bakushkina, N., Lavrova, M., Tuktareva, I. & Sergeev, A., Dec 2018, In: Psychophysiology. 55, p. S124-S124 1 p., 4-056.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  51. Early Motor Repertoire Assessment and One-year Neurocognitive Outcome in Infants At-risk. (A pilot communication)

    Chegodaev, D., Palchik, A., Lvova, O., Lavrova, M., Bakushkina, N., Suleymanova, E., Tuktareva, I. & Sergeev, A., 1 Oct 2018, In: International Journal of Psychophysiology. 131, S154.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  52. 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 journal › Meeting Abstract › peer-review

  53. Paediatric ischemic stroke: The relationship between the probability of disability in the outcome and thrombophilic genes' polymorphisms

    Lvova, O., Sergeev, A., Rakhmatova, A. & Gusev, V., 15 Oct 2017, In: Journal of the Neurological Sciences. 381, p. 111-111 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  54. Prediction of The Outcomes in Pediatric Ischemic Stroke: Multilayer Perceptron Vs Random Forest Learning Methods

    Rakhmatova, A., Lvova, O. & Sergeev, A., 2018, In: Journal of head trauma rehabilitation. 33, 3, p. E89-E89 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  55. Relationships between temperament and cognitive development of premature children 14 months-old

    Lavrova, M., Suleymanova, E., Tuktareva, I., Valieva, E., Sergeev, A., Lvova, O. & Gusev, V., 15 Oct 2019, In: Journal of the Neurological Sciences. 405, 2 p., 105277.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  56. Sleep assessment in infants and toddlers after arterial ischemic stroke

    Tarasov, D., Kotyusov, A., Chegodaev, D., Sergeev, A. & Lvova, O., 15 Oct 2019, In: Journal of the Neurological Sciences. 405, 1 p., 105287.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  57. THE FORECAST VALUE OF THROMBOPHILIC POLYMORPHISMS' COMBINATIONS ON THE PROBABILITY OF PEDIATRIC ISCHEMIC STROKE

    Gusev, V., Lvova, O., Kosachenko, A., Butorova, A. & Sergeev, A., Nov 2020, In: International Journal of Stroke. 15, 1_SUPPL, p. 633-633 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  58. The influence of combinations of genetic polymorphisms on the probability of disability after arterial ischemic stroke in childhood

    Sergeev, A., Lvova, O., Moskaleva, A. & Kosachenko, A., 15 Oct 2019, In: Journal of the Neurological Sciences. 405, 2 p., 105206.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  59. The relationships between carrying thrombophilic genes' polymorphisms and forecast of pediatric arterial ischemic strokes: the result of investigation using logistic regression

    Rakhmatova, A., Lvova, O., Sergeev, A. & Buevich, A., 15 Oct 2019, In: Journal of the Neurological Sciences. 405, 1 p., 105205.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  60. The role of the procoagulant and prothrombotic genes in predicting of disability after arterial ischemic stroke in children

    Lvova, O., Sergeev, A., Gusev, V. & Dron, A., 2017, In: Cerebrovascular Diseases. 43, 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  61. Chapter › Research › Not peer-reviewed

  62. 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 proceeding › Chapter

  63. 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 proceeding › Chapter

  64. Chapter › Research › Peer-reviewed

  65. 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

  66. 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

  67. Conference contribution › Research › Peer-reviewed

  68. A GENERALIZED MANAGEMENT PROGRAM OF ENVIRONMENTAL MONITORING STUDIES DURING GEOLOGICAL PROSPECTING

    Medvedev, A. N., Medvedev, M. A. & Sergeev, A. P., 2016, 16TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE, SGEM 2016: SCIENCE AND TECHNOLOGIES IN GEOLOGY, EXPLORATION AND MINING, VOL II. STEF92 Technology, p. 11-16 6 p. (International Multidisciplinary Scientific GeoConference-SGEM).

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

  69. 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 proceeding › Conference contribution › peer-review

  70. About data separation for the artificial neural network training to predict the spatial distribution of the chemical element in the soil

    Rakhmatova, A. Y., Sergeev, A. P., Shichkin, A. V. & Buevich, A. G., 6 Dec 2019, Physics, Technologies and Innovation, PTI 2019: Proceedings of the VI International Young Researchers Conference. Volkovich, V. A., Zvonarev, S. V., Kashin, I. V., Smirnov, A. A. & Narkhov, E. D. (eds.). American Institute of Physics Inc., 5 p. 020159. (AIP Conference Proceedings; vol. 2174).

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

  71. About legislative regulation of local environmental monitoring in the Russian federation and Republic of Belarus

    Medvedev, A., Sergeev, A. & Melnichenka, D., 2015, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 5 ed. International Multidisciplinary Scientific Geoconference, Vol. 2. p. 591-597 7 p.

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

  72. About the methods of research digital copies works of art to determine their specific features

    Slavnykh, V., Sergeev, A. & Filimonov, V., 2015, CEUR Workshop Proceedings. CEUR-WS, Vol. 1452. p. 196-202 7 p.

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

  73. Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks

    Shichkin, A., Buevich, A., Sergeev, A., Antonov, K. & Sergeeva, M., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050009

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

  74. Anomalies of chromium surface distribution in urban soils from subarctic region of Russia

    Sergeev, A., Baglaeva, E., Antonov, K., Medvedev, A. & Rakhmatova, A., 2015, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 3 ed. International Multidisciplinary Scientific Geoconference, Vol. 2. p. 27-34 8 p.

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

  75. Application of the Wavelet Data Transformation for the Time Series Forecasting by the Artificial Neural Network: book chapter

    Butorova, A., Baglaeva, E., Subbotina, I., Sergeeva, M., Sergeev, A., Shichkin, A., Buevich, A. & Petrov, P., 18 Mar 2023, New Trends in the Applications of Differential Equations in Sciences: book. Slavova, A. (ed.). Springer Cham, p. 365-370 6 p. (Springer Proceedings in Mathematics & Statistics; vol. 412).

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

  76. Artificial neural network and kriging interpolation for the chemical elements contents in the surface layer of soil on a background area

    Sergeev, A., Buevich, A., Medvedev, A., Subbotina, I. & Sergeeva, M., 2015, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 3 ed. International Multidisciplinary Scientific Geoconference, Vol. 2. p. 49-56 8 p.

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

  77. 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 proceeding › Conference contribution › peer-review

  78. Classification of graph topologies by machine learning methods: book chapter

    Bobakov, V., Koryukin, E., Butorova, A. & Sergeev, A., 2023, Proceedings - 7th Scientific School: Dynamics of Complex Networks and their Applications, DCNA 2023: book. Institute of Electrical and Electronics Engineers Inc., p. 32-35 4 p.

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

  79. Comparing the Types of Artificial Neural Networks to Predict the Carbon Dioxide Concentration Changes

    Sergeev, A., Buevich, A., Shichkin, A., Baglaeva, E., Subbotina, I. & Sergeeva, M., 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., 110007. (AIP Conference Proceedings; vol. 2425).

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

  80. Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution

    Shichkin, A. V., Buevich, A. G. & Sergeev, A. P., 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. 020005. (AIP Conference Proceedings; vol. 1982).

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

  81. 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 proceeding › Conference contribution › peer-review

  82. Computer vision for obtaining retrospective data of urbanized landscape condition

    Koryukin, E. A., Bobakov, V. S., Butorova, A. S. & Sergeev, A. P., 15 May 2023, Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023: book. Institute of Electrical and Electronics Engineers Inc., p. 274-277 4 p.

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

  83. Conjoint approach of the "residual" prediction and the nonlinear autoregressive neural network increases the forecast precision of the base model

    Sergeev, A., Shichkin, A., Buevich, A., Baglaeva, E., Subbotina, I., Rakhmatova, A., Kosachenko, A., Moskaleva, A., Medvedev, A. & Sergeeva, M., 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. 120021. (AIP Conference Proceedings; vol. 2293).

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

  84. Descriptive statistics of air particulate matter size distribution in industrial city

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A. & Subbotina, I., 10 Dec 2019, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. Simos, TE., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 4 p. 050011. (AIP Conference Proceedings; vol. 2186).

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

  85. Forecasting of spatial variable by the models based on artificial neural networks on an example of heavy metal content in topsoil

    Shichkin, A., Buevich, A., Sergeev, A., Baglaeva, E. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050007

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

  86. Geostatistical modeling of links between pollutants’ content in soil of a megalopolis and geographical predictors

    Medvedev, A., Buevich, A., Sergeev, A., Buslovskaya, A. & Urazbaeva, R., 2015, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 3 ed. International Multidisciplinary Scientific Geoconference, Vol. 2. p. 161-168 8 p.

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

  87. 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 proceeding › Conference contribution › peer-review

  88. Improved Algorithm for Splitting Raw Data into Training and Test Subsamples for MLP-Based Models

    Sergeev, A., Rakhmatova, A., Buevich, A., Shichkin, A., Baglaeva, E. & Subbotina, I., 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., 110009. (AIP Conference Proceedings; vol. 2425).

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

  89. Information systems used in Bulgarian university libraries as online public access catalogs

    Petrova, S., Stefanov, S., Ivanov, S., Sergeev, A. & Getova, I., 1 Jan 2019, Education and Accreditation in Geosciences; Environmental Legislation, Multilateral Relations and Funding Opportunities. 2.1 ed. International Multidisciplinary Scientific Geoconference, p. 353-360 8 p. (International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM; vol. 19, no. 2.1).

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

  90. 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 proceeding › Conference contribution › peer-review

  91. 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 proceeding › Conference contribution › peer-review

  92. Method of selecting spatially distributed information for constructing training set of artificial neural networks

    Sydikhov, A., Buevich, A., Sergeev, A., Shichkin, A., Subbotina, I. & Baglaeva, E., 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. 200020. (AIP Conference Proceedings; vol. 2116).

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

  93. 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 proceeding › Conference contribution › peer-review

  94. 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 proceeding › Conference contribution › peer-review

  95. Mono vs Stereo Modes of Visual-Auditory Sensory Substitution in Spatial Localization Task

    Butorova, A. S., Koryukin, E. A., Nurullina, N. I., Bobakov, V. S. & Sergeev, A. P., 18 Sept 2023, Proceedings - 5th International Conference "Neurotechnologies and Neurointerfaces", CNN 2023: book. Institute of Electrical and Electronics Engineers Inc., p. 16-19 4 p.

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

  96. 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 proceeding › Conference contribution › peer-review

  97. On the hybrid models of soil contaminants concentrations predicting in subarctic region

    Sergeev, A., Buevich, A., Medvedev, A., Spasov, K., Kosachenko, A. & Moskaleva, A., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440006

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

  98. On the use of non-Gaussian models for prediction of extreme pollution levels in environmental studies

    Berg, D. B., Medvedev, A. N., Sergeev, A. P. & Taubayev, A. A., 30 Nov 2015, 41st International Conference "Applications of Mathematics in Engineering and Economics", AMEE 2015. Pasheva, Popivanov, N. & Venkov, G. (eds.). American Institute of Physics Publising LLC, Vol. 1690. 5 p. 020004. (AIP Conference Proceedings; vol. 1690).

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

  99. ONLINE PUBLIC ACCESS CATALOGS IN BULGARIAN UNIVERSITY LIBRARIES AN EMPIRICAL STUDY OF SEVEN-YEAR EVOLUTION

    Petrova, S., Sergeev, A., Getova, I. & Kostadinova, I. S., 2019, 12TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI 2019). Chova, LG., Martinez, AL. & Torres, IC. (eds.). International Academy of Technology, Education and Development, p. 230-236 7 p. (ICERI Proceedings).

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

  100. Partition Procedure of the Initial Data for the Models Based on Artificial Neural Networks

    Rakhmatova, A., Sergeev, A., Buevich, A., Shichkin, A. & Sergeeva, M., 1 Apr 2019, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Institute of Electrical and Electronics Engineers Inc., p. 241-243 3 p. 8736648. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

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

  101. Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere: book chapter

    Butorova, A., Buevich, A., Shichkin, A., Sergeev, A., Baglaeva, E., Sergeeva, M., Subbotina, I. & Vasilev, J., 18 Mar 2023, New Trends in the Applications of Differential Equations in Sciences: book. Slavova, А. (ed.). Springer Cham, p. 383-388 16 p. (Springer Proceedings in Mathematics & Statistics; vol. 412).

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

  102. Prediction the dynamic of changes in the concentrations of main greenhouse gases by an artificial neural network type NARX

    Sergeev, A., Buevich, A., Shichkin, A., Baglaeva, E., Subbotina, I., Medvedev, A. & Sergeeva, M., 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. 120020. (AIP Conference Proceedings; vol. 2293).

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

  103. Psychophysical Model of the Signal Detection Theory in the Categorization Task of Textual and Pictographic Visual Stimuli

    Butorova, A. S., Sergeev, A. P. & Tarasov, D. A., 2022, Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 228-231 4 p. (Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022).

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

  104. Psychophysical model of the signal detection theory with nine events. Basic provisions

    Sergeev, A., Vezhleva, D., Sydikhov, A., Arapov, S. & Lvova, O., 10 Jul 2018, International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. American Institute of Physics Inc., Vol. 1978. 440007

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

  105. 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 proceeding › Conference contribution › peer-review

  106. Recognition of chromium distribution features in different urban soils by multilayer perceptron

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A. & Subbotina, I., 30 Nov 2018, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Simos, T. E., Kalogiratou, Z., Monovasilis, T., Simos, T. E. & Simos, T. E. (eds.). American Institute of Physics Inc., Vol. 2040. 050008

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

  107. 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 proceeding › Conference contribution › peer-review

  108. Short-Term Forecast the Dynamics of Changes in the Surface Concentration of Methane Using a Non-Linear Autoregressive Neural Network with External Input and Vector Autoregression Model

    Sergeev, A., Shichkin, A., Buevich, A., Rakhmatova, A. & Remezova, M., 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., 110010. (AIP Conference Proceedings; vol. 2425).

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

  109. SNOW POLLUTION REGRESSION MODEL FOR KARABASH CITY OF RUSSIA

    Medvedev, A., Taushankova, D., Medvedeva, M., Varaksin, A. & Sergeev, A., 2014, GEOCONFERENCE ON ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION, VOL I. STEF92 Technology, p. 601-606 6 p. (International Multidisciplinary Scientific GeoConference-SGEM).

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

  110. Statistical analysis of the spatial distribution of impurities in the snow cover in the vicinity of copper mine in the Middle Ural of Russia

    Subbotina, I., Buevich, A., Medvedev, A., Sergeev, A., Sergeeva, M., Kazakova, H., Kosachenko, A. & Moskaleva, A., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060012

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

  111. Statistical characteristics calculation of the natural dust size distribution in the air surface layer of Belyy Island

    Baglaeva, E., Buevich, A., Sergeev, A., Shichkin, A., Subbotina, I., Markelov, Y. & Petrov, P., 10 Dec 2019, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. Simos, TE., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 4 p. 050012. (AIP Conference Proceedings; vol. 2186).

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

  112. 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

  113. Ternary information in psychophysical research. Receiving and primary processing

    Sergeev, A., Buevich, A., Arapov, S. & Rakhmatova, A., 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. 200018. (AIP Conference Proceedings; vol. 2116).

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

  114. The forecast of the methane concentration changes for the different time periods on the arctic island bely

    Medvedev, A., Sergeev, A., Shichkin, A., Baglaeva, E., Subbotina, I., Buevich, A. & Sergeeva, M., 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. 120019. (AIP Conference Proceedings; vol. 2293).

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

  115. The Pattern of Some Greenhouse Gases Content in the Air of Belyy Island in the Russian Arctic Region

    Sergeev, A., Baglaeva, E., Buevich, A., Shichkin, A. & Remezova, M., 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., 110008. (AIP Conference Proceedings; vol. 2425).

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

  116. The vOICe Visual-Auditory Sensory Substitution Technology in the Depth Perception Task

    Butorova, A. S., Naizagarinova, A. A., Tarasov, D. A. & Sergeev, A. P., 2022, Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022. Institute of Electrical and Electronics Engineers Inc., p. 65-68 4 p. (Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022).

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

  117. Time series forecasting of methane concentrations in the surface layer of atmospheric air in Arctic region

    Sergeev, A., Shichkin, A. & Buevich, A., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060005

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

  118. 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 proceeding › Conference contribution › peer-review

  119. Training algorithms for artificial neural network in predicting of the content of chemical elements in the upper soil layer

    Shichkin, A., Buevich, A., Sergeev, A., Baglaeva, E., Subbotina, I., Vasilev, J. & Kehayova-Stoycheva, M., 10 Dec 2018, Proceedings of the 44th International Conference on Applications of Mathematics in Engineering and Economics, AMEE 2018. Venkov, G., Popivanov, N. & Pasheva, V. (eds.). American Institute of Physics Inc., Vol. 2048. 060004

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

  120. Training algorithms for artificial neural networks for time series forecasting of greenhouse gas concentrations

    Shichkin, A., Buevich, A., Sergeev, A., Medvedev, A., Kosachenko, A., Moskaleva, A. & Sergeeva, M., 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. 200019. (AIP Conference Proceedings; vol. 2116).

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

  121. Using autoregressive neural network with external input for calculation of expected carbon dioxide surface concentration for different time intervals

    Sergeev, A., Baglaeva, E., Shichkin, A., Buevich, A., Rakhmatova, A., Kosachenko, A., Moskaleva, A. & Sergeeva, M., 10 Dec 2019, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. Simos, TE., Kalogiratou, Z. & Monovasilis, T. (eds.). American Institute of Physics Inc., 4 p. 050013. (AIP Conference Proceedings; vol. 2186).

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

  122. Patent › Research

  123. База данных результатов комплексного психологического обследования детей 3-36 месяцев: регистрация базы данных

    Пальчик, А. Б., Львова, О. А., Котюсов, А. И., Сулейманова, Е. В., Туктарева, И. В., Кунникова, К. И., Бакушкина, Н. И., Павлова, Н. В., Лаврова, М. А. & Сергеев, А. П., 8 Nov 2022, Федеральный институт промышленной собственности, Patent No. 2022622780, 25 Oct 2022, Priority date 25 Oct 2022, Priority No. 2022622636

    Research output: Patent

  124. База данных результатов обследования пациентов с острыми нарушениями мозгового кровообращения на носительство генетических полиморфизмов тромбофильного спектра. регистрация базы данных

    Гусев, В. В., Львова, О. А., Буторова, А. С., Сергеев, А. П. & Сергеева, М. В., 1 Mar 2023, Федеральный институт промышленной собственности, Patent No. 2023620753, 22 Feb 2023, Priority date 22 Feb 2023, Priority No. 2023620485

    Research output: Patent

  125. База данных результатов экспериментального исследования восприятия глубины при сенсорном замещении у зрячих испытуемых: регистрация базы данных

    Буторова, А. С., Тарасов, Д. А., Корюкин, Е. А., Бобаков, В. С. & Сергеев, А. П., 17 Jul 2023, Федеральный институт промышленной собственности, Patent No. 2023622433, 5 Jul 2023, Priority date 5 Jul 2023, Priority No. 2023622065

    Research output: Patent

  126. Генератор графов трех топологий: случайных (random), малого мира (small world) и безмасштабных (scale-free) графов: свидетельство о государственной регистрации программы для ЭВМ

    Корюкин, Е. А., Бобаков, В. С., Буторова, А. С., Сергеев, А. П., Храмов, А. Е. & Павлова, С. В., 6 Mar 2023, Федеральный институт промышленной собственности, Patent No. 2023614820, 22 Feb 2023, Priority date 22 Feb 2023, Priority No. 2023613341

    Research output: Patent

  127. Классификатор графовых архитектур на основе свёрточного слоя "Graph isomorphism network": свидетельство о государственной регистрации программы для ЭВМ

    Бобаков, В. С., Корюкин, Е. А., Буторова, А. С., Сергеев, А. П., Храмов, А. Е. & Пицик, Е. Н., 28 Feb 2023, Федеральный институт промышленной собственности, Patent No. 2023614311, 22 Feb 2023, Priority date 22 Feb 2023, Priority No. 2023613227

    Research output: Patent

  128. Программа генерирования значимых комбинаций полиморфизмов генов: свидетельство о государственной регистрации программы для ЭВМ

    Сергеев, А. П., Косаченко, А. И., Буторова, А. С., Павлова, С. В., Львова, О. А. & Гусев, В. В., 29 Nov 2022, Федеральный институт промышленной собственности, Patent No. 2022682882, 22 Nov 2022, Priority date 22 Nov 2022, Priority No. 2022682243

    Research output: Patent

  129. Программа для захвата и преобразования изображений, полученных со стереокамеры с двумя объективами, для технологии визуально-аудиального сенсорного замещения: свидетельство о государственной регистрации программы для ЭВМ

    Корюкин, Е. А., Буторова, А. С., Бобаков, В. С., Сергеев, А. П. & Храмов, А. Е., 24 May 2023, Федеральный институт промышленной собственности, Patent No. 2023660749, 17 May 2023, Priority date 17 May 2023, Priority No. 2023619939

    Research output: Patent

  130. Программа для преобразования изображения в звуковой сигнал для технологии визуально-аудиального сенсорного замещения: свидетельство о государственной регистрации программы для ЭВМ

    Корюкин, Е. А., Буторова, А. С., Бобаков, В. С., Сергеев, А. П. & Храмов, А. Е., 1 Jun 2023, Федеральный институт промышленной собственности, Patent No. 2023661560, 17 May 2023, Priority date 17 May 2023, Priority No. 2023619850

    Research output: Patent

  131. Программа для сегментации пространственно привязанных изображений урбанизированных ландшафтов: свидетельство о государственной регистрации программы для ЭВМ

    Корюкин, Е. А., Буторова, А. С., Бобаков, В. С. & Сергеев, А. П., 19 Jun 2023, Федеральный институт промышленной собственности, Patent No. 2023663057, 7 Jun 2023, Priority date 7 Jun 2023, Priority No. 2023661758

    Research output: Patent

  132. Программа для ЭВМ для анализа работы графовой сверточной нейронной сети с различным количеством скрытых слоев: свидетельство о государственной регистрации программы для ЭВМ

    Пицик, Е. Н., Храмов, А. Е. & Сергеев, А. П., 23 Dec 2022, Федеральный институт промышленной собственности, Patent No. 2022685433, 16 Dec 2022, Priority date 16 Dec 2022, Priority No. 2022684823

    Research output: Patent

  133. Программная реализация проверки статистических гипотез с помощью точного критерия Фишера: свидетельство о государственной регистрации программы для ЭВМ

    Сергеев, А. П., Буторова, А. С., Косаченко, А. И., Гусев, В. В. & Львова, О. А., 25 Nov 2022, Федеральный институт промышленной собственности, Patent No. 2022682731, 22 Nov 2022, Priority date 22 Nov 2022, Priority No. 2022682265

    Research output: Patent

  134. Scholarly edition › Research › Peer-reviewed

  135. 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/Report › Scholarly edition › peer-review

  136. 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/Report › Scholarly edition › peer-review

  137. Основы издательского дела для иностранных студентов : практикум: учебное пособие

    Климова, О. В., Плотникова, И. Ю., Ерохова, И. В., Ланских, А. В. (ed.), Подлубнова, Ю. С. & Сергеев, А. П., 2022, Екатеринбург: Издательство Уральского университета. 100 p.

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

  138. Основы машинного обучения: учебное пособие

    Лимановская, О. В., Алферьева, Т. И., Обабков, И. Н. (ed.), Сергеев, А. П. & Ткаченко, Т. Я., 2020, Екатеринбург: Издательство Уральского университета. 88 p.

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

  139. 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

  140. 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/Report › Scholarly edition › peer-review

  141. Статистические методы в системах управления качеством (в полиграфии): учебное пособие

    Арапов, С. Ю., Сергеев, А. П., Арапова, С. П., Мильдер, О. Б. (ed.) & Мартюшев, Л. М., 2023, Екатеринбург: Издательство Уральского университета. 184 p.

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

  142. Conference article › Research › Peer-reviewed

  143. Chromium distribution forecasting in subarctic noyabrsk using cokriging, generalized regression neural network, multilayer perceptron, and hybrid technique

    Buevich, A. G., Sergeev, A. P., Shichkin, A. V., Kosachenko, A. I. & Moskaleva, A. S., 1 Jan 2018, In: CEUR Workshop Proceedings. 2076, p. 39-48 10 p.

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

  144. Heavy Metal Contamination Assessment in Near Surface Soils: A Case Study from Subarctic Region of Russia

    Masih, A. & Sergeev, A. P., 23 Jul 2018, In: IOP Conference Series: Earth and Environmental Science. 167, 1, 8 p., 012023.

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

  145. Influence of the transfer function of the NARX network hidden layer on the accuracy of predicting the changes in the surface methane concentration

    Medvedev, A., Sergeev, A., Buevich, A., Shichkin, A. & Sergeeva, M., 2023, In: AIP Conference Proceedings. 2849, 1, 090025.

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

  146. RISK MANAGEMENT PROCESSES IN INFORMATION SYSTEMS DEVELOPMENT

    Petrov, P., Stoev, S., Radev, M., Sergeev, A. & Dimitrov, G., 20 Dec 2021, In: International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 21, 7.1, p. 467-473 7 p.

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

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