Список публикаций в журналах, выступлений на конференциях и т.п.:
Тык...
2019
- М. А. Михалькова, В. О. Ячная, Е. Н. Яблоков, Исследование возможностей сверточных нейронных сетей для анализа однородных изображений, СЕМЬДЕСЯТ ВТОРАЯ МЕЖДУНАРОДНАЯ СТУДЕНЧЕСКАЯ НАУЧНАЯ КОНФЕРЕНЦИЯ ГУАП, 2019, с. 1-3.
- A. Vinogradov, E. Yablokov and V. Yachnaya, "Upgrade of Ethernet-SpaceWire Protocol," 2019 24th Conference of Open Innovations Association (FRUCT), 2019, pp. 486-492, doi: 10.23919/FRUCT.2019.8711937.
- E. N. Yablokov, A. Y. Vinogradov and V. O. Yachnaya, "Network Traffic Analysis Using Eth-SpW Protocol," 2019 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), 2019, pp. 1-4, doi: 10.1109/WECONF.2019.8840633.
2020
- V. O. Yachnaya, M. A. Mikhalkova, E. N. Yablokov and V. R. Lutsiv, "Noise Model Effect upon the GAN-Synthesized Images," 2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), 2020, pp. 1-6, doi: 10.1109/WECONF48837.2020.9131529.
- M. A. Mikhalkova, V. O. Yachnaya, E. N. Yablokov and V. R. Lutsiv, "Automatic Detection of Pedestrians in Traffic Scene Images," 2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), 2020, pp. 1-6, doi: 10.1109/WECONF48837.2020.9131458.
2021
- Ячная, В.О., Луцив, В.Р. Исследование устойчивости Условной генеративно-состязательной сети pix2pix к искажению входных данных разметки изображений // Оптический журнал. 2021. Т. 88. № 11. С. 46–55. DOI:10.17586/1023-5086-2021-88-11-46-55. IF = 0.22. Q3.
- V. O. Yachnaya and V. R. Lutsiv, "Stability investigation of the Pix2Pix conditional generative adversarial network with respect to input semantic image labeling data distortion," J. Opt. Technol. 88, 647-653 (2021)
- V. Yachnaya, Semantic map distortion effect on Conditional Generative Adversarial Network Pix2Pix // 6th IEEE International Conference “Video and Audio Signal Processing in the Context of Neurotechnologies” SPCN-2021
2022
- Компьютерное зрение: учеб. пособие: в 3 ч. Ч. 1. Основные понятия и начала теории автоматического анализа изображений / В. Р. Луцив, М. А. Михалькова, В. О. Ячная. — СПб ГУАП, 2022. — 157 с. ISBN 978-5-8088-1727-2
- V. Yachnaya, M. Mikhalkova, G. Khamdulayeva, The specifics of the microscopic bacteria images recognition using artificial neural networks // 7th IEEE International Conference “Video and Audio Signal Processing in the Context of Neurotechnologies” SPCN-2022
- V. Yachnaya, Components of communication stored in videodata and its recognition technologies // 7th IEEE International Conference “Video and Audio Signal Processing in the Context of Neurotechnologies” SPCN-2022
2023
- Ячная, В.О. Современные технологии автоматического распознавания средств общения на основе визуальных данных / В.О. Ячная, В.Р. Луцив, Р.О. Малашин // Компьютерная оптика. – 2023. – Т. 47, № 2. – С. 287-305. – DOI: 10.18287/2412-6179-CO-1154.
- M. A. Mikhalkova, V. O. Yachnaya and R. O. Malashin, "Comparative Analysis of Convolutional Neural Networks and Vision Transformer on Classification of Images Containing Homogenous Microstructures," 2023 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), St. Petersburg, Russian Federation, 2023, pp. 1-6, doi: 10.1109/WECONF57201.2023.10148032.
- V. Yachnaya, The role of the number of smallest linguistic units in a word on the accuracy of the word-level lip-reading system // 8th International Conference “Video and Audio Signal Processing in the Context of Neurotechnologies” SPCN-2023
- V. Yachnaya, M. Mikhalkova, A. Efimtsev, The generalizability of Alzheimer's disease automatic detection system on new data // 8th International Conference “Video and Audio Signal Processing in the Context of Neurotechnologies” SPCN-2023
- A. Chuprov, R. Malashin, V. Yachnaya. Application of modern speech recognition neural networks to create a visual speech recognition dataset in Russian language // 8th International Conference “Video and Audio Signal Processing in the Context of Neurotechnologies” SPCN-2023
- Компьютерное зрение. учеб. пособие: в 3 ч. Часть 2. Современные методы автоматического анализа изображений / В. Р. Луцив, М. А. Михалькова, В. О. Ячная. – СПб.: ГУАП, 2023. – 192 с. ISBN 978-5-8088-1881-1
2024
- V. O. Yachnaya, M. A. Mikhalkova, "Methods of increasing training data for a 3D neural network for Alzheimer's disease diagnosis," 2024 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), St. Petersburg, Russian Federation, 3-7 June 2024, pp. 1-6. // Программа конференции
- Ячная В.О., Михалькова М.А., Малашин Р.О. Исследование когнитивных нарушений методами машинного обучения. X Международная конференция по когнитивной науке. Июнь 26-30, 2024, Пятигорск, Россия.
- bacteria
- lipreading
