Mathematical Model of the Impulses Transformation Processes in Natural Neurons for Biologically Inspired Control Systems Development. A Bakhshiev, F Gundelakh AIST (Supplement), 1-12, 2015 | 28 | 2015 |
Determination of the relative position of space vehicles by detection and tracking of natural visual features with the existing TV-cameras D Stepanov, A Bakhshiev, D Gromoshinskii, N Kirpan, F Gundelakh Analysis of Images, Social Networks and Texts: 4th International Conference …, 2015 | 17 | 2015 |
The architecture of a software platform for growing spiking neural networks simulator developing AV Bakhshiev, IS Fomin, FV Gundelakh, AA Demcheva, AM Korsakov Journal of Physics: Conference Series 1679 (4), 042001, 2020 | 13 | 2020 |
Object detection on docking images with deep convolutional network IS Fomin, SR Orlova, DA Gromoshinskii, AV Bakhshiev Advances in Neural Computation, Machine Learning, and Cognitive Research II …, 2019 | 10 | 2019 |
The system for histopathology images analysis of spinal cord slices VV Mikhaylov, AV Bakhshiev Procedia Computer Science 103, 239-243, 2017 | 9 | 2017 |
Study of using deep learning nets for mark detection in space docking control images IS Fomin, AV Bakhshiev, DA Gromoshinskii Procedia Computer Science 103, 59-66, 2017 | 9 | 2017 |
Нейроморфные системы управления роботами АВ Бахшиев, ИВ Клочков, ВЛ Косарева, ЛА Станкевич Робототехника и техническая кибернетика, 40-44, 2014 | 9 | 2014 |
Research on convolutional neural network for object classification in outdoor video surveillance system IS Fomin, AV Bakhshiev Advances in Neural Computation, Machine Learning, and Cognitive Research III …, 2020 | 7 | 2020 |
Determination of an Unmanned Mobile Object Orientation by Natural Landmarks. AM Korsakov, I Fomin, D Gromoshinsky, A Bakhshiev, D Stepanov, ... AIST (Supplement), 91-101, 2016 | 7 | 2016 |
Математическое моделирование процессов преобразования импульсных потоков в биологическом нейроне АВ Бахшиев, СП Романов Нейрокомпьютеры: разработка, применение, 71-80, 2009 | 7 | 2009 |
Object Detection on Images in Docking Tasks Using Deep Neural Networks I Fomin, D Gromoshinskii, A Bakhshiev Advances in Neural Computation, Machine Learning, and Cognitive Research …, 2018 | 6 | 2018 |
Software package for determining the spatial orientation of objects by tv picture in the problem space docking AV Bakhshiev, PA Korban, NA Kirpan Robotics and Technical Cybernetics, Saint-Petersburg, Russia, RTC 1, 71-75, 2013 | 6 | 2013 |
CSNM: the compartmental spiking neuron model for developing neuromorphic information processing systems A Bakhshiev, A Demcheva, L Stankevich Advances in Neural Computation, Machine Learning, and Cognitive Research V …, 2022 | 5 | 2022 |
Development of hard hat wearing monitoring system using deep neural networks with high inference speed N Filatov, N Maltseva, A Bakhshiev 2020 International Russian Automation Conference (RusAutoCon), 459-463, 2020 | 5 | 2020 |
Application the spiking neuron model with structural adaptation to describe neuromorphic systems AV Bakhshiev, FV Gundelakh Procedia Computer Science 103, 190-197, 2017 | 5 | 2017 |
Методические основы проектирования систем поддержания динамической устойчивости для реабилитации пациентов с нейромоторными заболеваниями АВ Бахшиев, ЕЮ Смирнова, ПЕ Мусиенко Известия Южного федерального университета. Технические науки, 201-213, 2015 | 5 | 2015 |
Hierarchical system for car make and model recognition on image using neural networks I Fomin, I Nenahov, A Bakhshiev 2020 International conference on industrial engineering, applications and …, 2020 | 4 | 2020 |
Compartmental spiking neuron model CSNM AV Bakhshiev, AA Demcheva Izvestiya VUZ. Applied Nonlinear Dynamics 30 (3), 299-310, 2022 | 3 | 2022 |
The method of structural adaptation of the compartmental spiking neuron model A Korsakov, L Astapova, A Bakhshiev International Conference Cyber-Physical Systems and Control, 545-553, 2021 | 3 | 2021 |
Prospects for the Development of Neuromorphic Systems A Bakhshiev, L Stankevich Advances in Neural Computation, Machine Learning, and Cognitive Research …, 2018 | 3 | 2018 |