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Articles 537
- Reinforcement learning for adaptive interference suppression in a phased array antenna with discrete phase control pp. 147-154
- Comparative analysis of convolutional neural network architectures: the efficacy of individual learning strategies and hyperparameter tuning pp. 56-62
- Application of machine learning methods to restore damaged objects in a photograph pp. 31-39
- Calculation of per-unit-length parameters of multiconductor microstrip transmission lines using machine learning models pp. 63-76
- Hybrid approach to supply management on marketplaces: Integra-tion of machine learning algorithms and mathematical programming pp. 88-96
- A program for predicting the optimal variant of a set of educational tools based on machine learning and artificial intelligence pp. 89-95
- An investigation into methods for reducing the computational complexity of signal processing algorithms in MU-MIMO-OFDM systems via machine learning pp. 69-81
- Deep learning for channel decoding with codebook adaptation by transmission rate pp. 62-66
- A game-theoretic method for constructing training samples for machine learning models in cybersecurity pp. 109-118
- A machine learning model for detecting anomalies in smart contracts based on graph neural networks and LSTM pp. 71-82
- Cybersecurity of systems implementing data intensive domains. Ensuring trust in DID-systems using artificial intelligence and machine learning technologies pp. 5-17
- Application of large language models for machine learning interpretability in dynamic pricing pp. 69-79
- Hybrid real-time phishing detection system based on integration of blacklists and machine learning pp. 43-53
- Analysis of the availability and accuracy of its assessment for the HF radio channel on the predicted ORF determined by the machine learning method pp. 78-87
- Neural network approach to detecting acoustic signals of unmanned aerial vehicles based on transfer learning pp. 84-94
- A study on the effectiveness of deep learning methods in the task of dermatoscopy image classification pp. 82-90
- The integrated method of machine learning used to identify side effects of polypragmasia pp. 22-31
- Hybrid MIMO detectors with quasi-orthogonal space-time block coding and adaptive complexity management based on deep learning pp. 53-65
- Systematization of Orkhon-Yenisei runic scripts and prospects for their automated analysis using machine learning methods pp. 97-103
- A machine learning-based model for assessing carbon sequestration in russian forests using integrated satellite, meteorological, and soil data pp. 7-16