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Aleksandr Bakhshiev
Aleksandr Bakhshiev
Peter the Great St.Petersburg Polytechnic University
Verified email at spbstu.ru
Title
Cited by
Cited by
Year
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
282015
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
172015
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
132020
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
102019
The system for histopathology images analysis of spinal cord slices
VV Mikhaylov, AV Bakhshiev
Procedia Computer Science 103, 239-243, 2017
92017
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
92017
Нейроморфные системы управления роботами
АВ Бахшиев, ИВ Клочков, ВЛ Косарева, ЛА Станкевич
Робототехника и техническая кибернетика, 40-44, 2014
92014
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
72020
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
72016
Математическое моделирование процессов преобразования импульсных потоков в биологическом нейроне
АВ Бахшиев, СП Романов
Нейрокомпьютеры: разработка, применение, 71-80, 2009
72009
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
62018
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
62013
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
52022
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
52020
Application the spiking neuron model with structural adaptation to describe neuromorphic systems
AV Bakhshiev, FV Gundelakh
Procedia Computer Science 103, 190-197, 2017
52017
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
52015
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
42020
Compartmental spiking neuron model CSNM
AV Bakhshiev, AA Demcheva
Izvestiya VUZ. Applied Nonlinear Dynamics 30 (3), 299-310, 2022
32022
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
32021
Prospects for the Development of Neuromorphic Systems
A Bakhshiev, L Stankevich
Advances in Neural Computation, Machine Learning, and Cognitive Research …, 2018
32018
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