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С.В. Жиганов

Observed names: S V Zhiganov, S. V. Zhiganov, S. Zhiganov, S.V. Zhiganov, Sergey V. Zhiganov, Sergey Victorovich Zhiganov, Sergey Zhiganov, Жиганов С.В., С. В. Жиганов
ORCID: 0000-0003-4621-5093
Observed ORCID: 0000-0003-4621-5093
OpenAlex ID: A5068305176
Human localization in video frames using a growing neural gas algorithm and fuzzy inference
2017 · O. Amosov, Y. Ivanov, et al. · Computer Optics · 31
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Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles
2020 · Oleg Semenovich Amosov, Svetlana Gennadievna Amosova, et al. · Neural Computing and Applications · 23
Using the Ensemble of Deep Neural Networks for Normal and Abnormal Situations Detection and Recognition in the Continuous Video Stream of the Security System
2019 · O.S. Amosov, S.G. Amosova, et al. · Procedia Computer Science · 20
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Deep Neural Network Method of Recognizing the Critical Situations for Transport Systems by Video Images
2019 · F.F. Pashchenko, O.S. Amosov, et al. · Procedia Computer Science · 13
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Investigation of Neural Network Algorithms for Human Movement Prediction Based on LSTM and Transformers
2023 · S. V. Zhiganov, Y. S. Ivanov, et al. · Doklady Mathematics · 12
Human Localization in the Video Stream Using the Algorithm Based on Growing Neural Gas and Fuzzy Inference
2017 · O.S. Amosov, Y.S. Ivanov, et al. · Procedia Computer Science · 12
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Computational Method for Recognizing Situations and Objects in the Frames of a Continuous Video Stream Using Deep Neural Networks for Access Control Systems
2020 · O. S. Amosov, S. G. Amosova, et al. · Journal of Computer and Systems Sciences International · 10
Using an Ensemble of Deep Neural Networks to Detect Human Keypoints in the Workspace of a Collaborative Robotic System
2023 · Yuri Ivanov, Sergey Zhiganov, et al. · International Symposium on Intelligent Systems (INTELS) · 6
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Intelligent Deep Neuro-Fuzzy System of Abnormal Situation Recognition for Transport Systems
2021 · Yuriy S. Ivanov, Sergey V. Zhiganov, et al. · Lecture notes in networks and systems · 5
The Use of Deep Neural Networks to Recognize Network Traffic Abnormalities in Enterprise Information and Telecommunication Systems
2019 · O. S. Amosov, S. G. Amosova, et al. · International Conference Management of Large-Scale System Development (MLSD) · 5
Semantic Video Segmentation with Using Ensemble of Particular Classifiers and a Deep Neural Network for Systems of Detecting Abnormal Situations
2018 · O.S. Amosov, Yuriy Ivanov, et al. · 5
A Combined Approach to the Classification and Semantic Segmentation of Production Tools Through the Use of the One-Shot Learning Method
2025 · D. M. Grabar, S. V. Zhiganov, et al. · Springer proceedings in mathematics & statistics · 4
Intelligent Deep Neuro-Fuzzy System Recognition of Abnormal Situations for Unmanned Surface Vehicles
2019 · Y.S. Ivanov, S.V. Zhiganov, et al. · International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) · 4
Detection and Recognition of Emergency Situations in Continuous Video Stream of Information and Telecommunication Systems
2018 · O.S. Amosov, Y.S. Ivanov, et al. · International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) · 4
Improving Collaborative Robotic Complex Efficiency: An Approach to the Intellectualization of the Control System
2023 · Mikhail Gorkavyy, Yuri Ivanov, et al. · International Symposium on Intelligent Systems (INTELS) · 1
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Modelling of Intelligent Access Monitoring and Control System for Vehicles with Using the Deep Neural Networks
2019 · O. S. Amosov, S. G. Amosova, et al. · INFORMACIONNYE TEHNOLOGII · 1
Computational Method of Pattern Recognition by Video Images Based on the Use of Deep Neural Networks With Convolutional and Recurrent Layers With Applications for Transportation Systems
2019 · O.S. Amosov, S.G. Amosova, et al. · Informatika i sistemy upravleniya · 1
Оценка архитектур трансформеров и CNN для One-Shot классификации инструментов в коллаборативных системах технического обслуживания судов
2025 · С.В. Жиганов, Ю.С. Иванов, et al. · МОРСКИЕ ИНТЕЛЛЕКТУАЛЬНЫЕ ТЕХНОЛОГИИ
Improving Safety in Collaborative Robotic Systems Through Multimodal Emotion Recognition
2025 · Y. S. Ivanov, E.S. Ilchenko, et al. · Communications in computer and information science
Comparative Analysis of Deep Neural Networks Architectures for Visual Recognition in the Autonomous Transport Systems
2021 · Y S Ivanov, S V Zhiganov, et al. · Journal of Physics Conference Series
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Face Video Tracking Using Deep Neural Networks
2020 · O.S. Amosov, S.G. Amosova, et al. · International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)
Вычислительный Метод Распознавания Ситуаций И Объектов В Кадрах Непрерывного Видеопотока С Использованием Глубоких Нейронных Сетей Для Систем Контроля И Управления Доступом
2020 · О. С. Амосов, С. Г. Амосова, et al. · Известия Российской академии наук Теория и системы управления
Comparative Analysis of Harmonic Function Approximation Methods
2018 · Vsevolod Chekushkin, Sergey Zhiganov, et al. · Vestnik of Volga State University of Technology Ser Radio Engineering and Infocommunication Systems
Works count: 24
Citation count: 157
H-index: 7
I10-index: 7
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