Search by keyword: "deep learning"
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 |
Using of deep learning in the task of diagnosing diseases using optical coherence tomography images
Authors: Tsykunov D.V., Moiseeva V.A. | Published: 17.12.2018 |
Published in issue: #12(29)/2018 | |
DOI: DOI: 10.18698/2541-8009-2018-12-416 | |
Category: Medical sciences | Chapter: Medical equipment and devices | |
Keywords: optical coherent tomography, deep learning, convolutional neural networks, artificial intelligence, image classification, choroidal neovascularization, diabetic retinopathy, retina |