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| Issue | Title | |
| Vol 67, No 11 (2024) | Ensembles of Neural Network Classifiers in the Problem of Analyzing Telemetry Information Data of a Small Spacecraft | Abstract PDF (Rus) similar documents |
| V. Yu. Skobtsov | ||
| "... of ensembles of classifiers such as Random Forest, Bagging, Gradient Boosting, Adaptive Boosting (AdaBoost ..." | ||
| Vol 69, No 1 (2026) | Method of text classification without the use of training | Abstract similar documents |
| T. M. Tatarnikova, D. R. Milyaev | ||
| "... . The main metrics for assessing the quality of a text classifier and the results of testing the proposed ..." | ||
| Vol 68, No 10 (2025) | Model of an engineering change management system and optimization of routes for their coordination at a radio electronic instrumentation enterprise | Abstract similar documents |
| G. Kh. Irzaev | ||
| "... . A classifier of the causes of engineering changes is developed, changes are grouped according to the complexity ..." | ||
| Vol 66, No 10 (2023) | Approach to automatic recognition of emotions in speech transcriptions | Abstract PDF (Rus) similar documents |
| A. A. Dvoynikova, K. K. Kondratenko | ||
| "... material is carried out using the TF-IDF, BoW, Word2Vec methods. The used classifiers are support vector ..." | ||
| Vol 66, No 4 (2023) | Method of data transmission in software-defined networks using a scheduler and rate control | Abstract PDF (Rus) similar documents |
| K. I. Nikishin | ||
| "... ТРАФИКА Валидатор времени доставки Модификация классификатора коммутатора Рис. 1 Классический ..." | ||
| Vol 67, No 2 (2024) | Hybrid neural network models for monitoring time series data of complex objects | Abstract PDF (Rus) similar documents |
| V. Yu. Skobtsov, B. V. Sokolov, W.-A. Zhang, M. Fu | ||
| "... классификационного и регрессионного анализа данных временных рядов. Разработаны и исследованы гибридные нейросетевые ..." | ||
| Vol 66, No 11 (2023) | Review on Optimization Techniques of Binary Neural Networks | Abstract PDF (Eng) similar documents |
| A. Shakkouf | ||
| "... dramatically outperforms current best performing methods like QNet in [26] and BENN-6, Bagging in [27 ..." | ||
| Vol 67, No 4 (2024) | Using Deep Learning in Pneumonia Diagnosis from X-rays Patterns | Abstract PDF (Rus) similar documents |
| А. S. Raskopina, V. V. Bozhenko, T. M. Tatarnikova | ||
| "... классификации обладает опреде- ленными преимуществами: меньшее время прогнозирования, а точность классификатора ..." | ||
| Vol 68, No 9 (2025) | Grounding Keypoint Descriptors into 3D-Gaussian Splatting for Visual Localization in Dynamic Indoor/Outdoor Environments | Abstract similar documents |
| M. Mohrat, G. K. Sidorov, D. D. Gridusov, S. A. Kolyubin | ||
| "... , we incorporate semantic masks generated from a classifier that utilizes a pre-trained diffusion model ..." | ||
| Vol 65, No 3 (2022) | Objects segmentation with retraining function | Abstract PDF (Rus) similar documents |
| I. D. Nenakhov, K. Artemov, S. Zabihifar, A. N. Semochkin, S. A. Kolyubin | ||
| "... соединением экстрактора признаков в Mask R- CNN и классификатора для ускорения работы алгоритма, а также с ..." | ||
| Vol 66, No 3 (2023) | Automatic Recognition of Visual Stimules by Single Evoked Potentials on an Electroencephalogram | Abstract PDF (Rus) similar documents |
| M. Ya. Marusina, I. V. Burdaev | ||
| "... заболеваниями [4]. Эффектив- ное использование таких автоматических классификаторов ограничено сложностью распо ..." | ||
| Vol 67, No 11 (2024) | Automating the Creation of Machine Learning Models for Solving Time Series Forecasting Problems | Abstract PDF (Rus) similar documents |
| V. А. Sobolevsky | ||
| "... и экстремальный градиентный бустинг (eXtreme Gradient Boosting — XGBoost) [11]. Линейная ..." | ||
| Vol 67, No 4 (2024) | Classification of Heart Rhythm Disorder Episodes by Informative Features in the Electrocardiogram Time Domain | Abstract PDF (Rus) similar documents |
| B. K. Akopyan | ||
| "... эффективное подмножество для конкретного классификатора. Как показано в статье [12], эти группы методов ..." | ||
| Vol 65, No 11 (2022) | Application of training data synthesis methods for recognition of partially hidden faces in images | Abstract PDF (Rus) similar documents |
| M. A. Letenkov, R. N. Iakovlev, M. V. Markitantov, D. A. Ryumin, A. A. Karpov | ||
| "... экспериментальных исследований, нейросетевые модели, дообученные на наборах данных, в которых объем искусственно ..." | ||
| Vol 67, No 11 (2024) | Analysis of Statistical Characteristics of Artificially Generated Texts | Abstract PDF (Rus) similar documents |
| S. V. Kuleshov, A. A. Zaytseva, A. Yu. Aksenov | ||
| "... идентификации текстовых данных, созданных при помощи нейросетевых технологий, включающие эвристические правила ..." | ||
| Vol 66, No 6 (2023) | Neural network model of errors of an autonomous aircraft strapdown inertial navigation system | Abstract PDF (Rus) similar documents |
| S. Alsayed, V. V. Efimov, I. V. Fominov | ||
| "... Предложена нейросетевая модель погрешностей бесплатформенной инерциальной навигационной системы ..." | ||
| Vol 67, No 9 (2024) | Text Recognition of Historical Documents Using Deep Neural Network Technologies | Abstract PDF (Rus) similar documents |
| A. M. Unterberg, A. V. Pyataeva, S. S. Zamyslova, E. D. Rukosueva, K. V. Bogdanov | ||
| "... : 10.14456/easr.2022.50. 6. Aradillas J., Murillo-Fuentes J., Olmos P. Boosting Offline Handwritten ..." | ||
| Vol 65, No 9 (2022) | Algorithm for Predicting the State of Equipment Based on Machine Learning | Abstract PDF (Rus) similar documents |
| M. R. Salikhov, R. A. Yurieva | ||
| "... следующие алго- ритмы машинного обучения: — Random Forest Regressor (RFR); — Gradient Busting Classifier ..." | ||
| Vol 65, No 8 (2022) | Development of a System of Magnetic Induction Sensors for Diagnosing Wear of the Rolling Stock Wheelset Cres | Abstract PDF (Rus) similar documents |
| K. S. Petrov, E. V. Kondratenko, V. V. Petrov | ||
| "... друг от друга (см. рис. 8). Согласно классификатору неисправностей колесных пар [8] и методике ..." | ||
| Vol 65, No 8 (2022) | Substantiation of the Neural Network Structure for Determining an Orbital Object Motion Parameters Based on Results of Its Observations from a Spacecraft | Abstract PDF (Rus) similar documents |
| V. M. Ananenko, A. D. Golyakov, A. A. Sasunkevich | ||
| "... определения ПД ОО, км Относительное время обучения нейросети, % 1 1 36 144 14,94 138 2 2 18 396 17 ..." | ||
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