Search by keyword: "deep learning"
Comprehensive optimization of Deeplabv3 for mobile devices using lightweight architectures
| Authors: Malyshev P.V. | Published: 09.12.2025 |
| Published in issue: #6(101)/2025 | |
| DOI: DOI: | |
| Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems | |
| Keywords: convolutional neural networks, segmentation, digital image processing, deep learning, optimization | |
Synthesizing iris images using generative adversarial networks
| Authors: Konnova N.S., Martynov S.M. | Published: 17.10.2025 |
| Published in issue: #5(100)/2025 | |
| DOI: DOI: | |
| Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems | |
| Keywords: generative adversarial network (gan), synthetic irides, deep learning, presentation attack, iris recognition | |
Audio-to-video image conversion technologies
| Authors: Karpov I.E., Moskalik A.A. | Published: 09.04.2025 |
| Published in issue: #2(97)/2025 | |
| DOI: DOI: | |
| Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems | |
| Keywords: audio conversion technologies, visual images, hearing impairments, deep learning, natural language processing, computer vision, audio visualization, audiovisual methods, social inclusion, quality of life | |
Application of the deep learning method in solving the problem of identifying landmarks in the image
| Authors: Nguyen Quy Thanh | Published: 19.12.2023 |
| Published in issue: #11(88)/2023 | |
| DOI: DOI: 10.18698/2541-8009-2023-11-950 | |
| Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems | |
| Keywords: computer vision, convolutional neural network, image recognition, object detection, image processing, deep learning, artificial intelligence methods, DELF | |
Practical implementation of the Siamese neural network in biometric palmar digital veins authentication
| Authors: Desyatov A.G. | Published: 19.05.2023 |
| Published in issue: #5(82)/2023 | |
| DOI: DOI: 10.18698/2541-8009-2023-5-892 | |
| Category: Informatics, Computer Engineering and Control | Chapter: Methods and Systems of Information Protection, Information Security | |
| Keywords: biometrics, authentication, palmar digital veins, deep learning, Siamese neural network, Conv2D, MaxPooling2D, Dropout, Dense, dataset | |
Malware recognition system based on the representation of a binary file in the form of an image with machine learning
| Authors: Panchekhin N.I., Desyatov A.G., Sidorkin A.D. | Published: 06.05.2023 |
| Published in issue: #4(81)/2023 | |
| DOI: DOI: 10.18698/2541-8009-2023-4-886 | |
| Category: Informatics, Computer Engineering and Control | Chapter: Methods and Systems of Information Protection, Information Security | |
| Keywords: malware detection, static analysis, deep learning, artificial neural network, software, Python, Keras, dataset | |
Biometric authentication based on the pattern of the inner side of a human hand
| Authors: Desyatov A.G., Sidorkin A.D., Panchekhin N.I. | Published: 22.12.2022 |
| Published in issue: #12(77)/2022 | |
| DOI: DOI: 10.18698/2541-8009-2022-12-844 | |
| Category: Informatics, Computer Engineering and Control | Chapter: Methods and Systems of Information Protection, Information Security | |
| Keywords: biometrics, authentication, papillary lines, palm, deep learning, artificial neural network, Python, OpenCV, TensorFlow, webcam, data set | |
Multi-agent learning methods with reinforcement using game theory algorithms
| Authors: Bolshakov V.E. | Published: 26.11.2020 |
| Published in issue: #11(52)/2020 | |
| DOI: DOI: 10.18698/2541-8009-2020-11-652 | |
| Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics | |
| Keywords: deep learning, game theory, multi-agent reinforcement learning, Nash equilibrium, neural networks, stochastic games, StarCraft II, equilibrium search, matrix games | |
Approaches to improving machine learning with reinforcement based on intrinsic motivation
| Authors: Balitskaya A.V. | Published: 11.07.2020 |
| Published in issue: #6(47)/2020 | |
| DOI: DOI: 10.18698/2541-8009-2020-6-620 | |
| Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics | |
| Keywords: reinforced machine learning, multi-agent learning, intrinsic motivation algorithms, deep learning, neural networks, agents, behavioral psychology, Starcraft, SMAC | |
Determination of the optimal neural network architecture for the search for the railway fishplates
| Authors: Marenov N.E. | Published: 21.06.2020 |
| Published in issue: #6(47)/2020 | |
| DOI: DOI: 10.18698/2541-8009-2020-6-618 | |
| Category: Instrument Engineering, Metrology, Information-Measuring Instruments and Systems | Chapter: Laser and opto-electronic systems | |
| Keywords: convolutional neural network, deep learning, machine learning, image classification, pattern recognition, rail, fishplates, defect detection | |