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Algorithm for individual learning content formation in automated machine learning system
Asadullaev, R. G., Lomakin, V. V., Zaharov, V. M., Dakhova, M. N., Bugaeva, E. S.
be used in machine learning. The algorithm for generating educational content based on the input test
Using artificial intelligence to develop a machine translation system and teaching resources in the Tuvan language; [Использование искусственного интеллекта для создания системы машинного перевода и образовательных ресурсов на тувинском языке]
Novikova M.L., Novikov P.N.
in the development of large language models based on machine learning and neural network technologies have reached
Classical and quantum improvements of generic decision tree constructing algorithm for classification problem
Khadiev K., Mannapov I., Safina L.
algorithm. The decision tree is constructed in ((running time in the classical case, where is a class
Recognition of human emotional state using the SVM and ANN algorithms
Astakhov, D., Kataev, A. V.
The work compares the results of the work of the machine learning algorithm SVM, ANN on a set
Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography Scans
Shakhmametova, G. R., Stepanova, E. S., Akhmetshin, A. A., Zulkarneev, R. Kh.
-platform. For machine learning algorithms, PyTorch 1.9.0 packages were used. An analysis of the effectiveness
Comparative analysis of machine learning methods by the example of the problem of determining muon decay
Gevorkyan M.N., Demidova A.V., Kulyabov D.S.
The history of using machine learning algorithms to analyze statistical models is quite long
Machine learning-based demand response in PV-based smart home considering energy management in digital twin
Huang J., Koroteev D.D., Rynkovskaya M.
of improving the performance and reliability of the electrical system. Here, an hour-ahead DR algorithm
Using Machine Learning for Recognition of Alzheimer’s Disease Based on Transcription Information
Vishniakou, U. A., Yu Chu Yue
of Alzheimer’s disease based on decoded text speech data using machine learning algorithms. The data used
Detecting anomalies in network traffic using machine learning techniques
Tuleubay Safiullin, Abramovich, M.
The problem of anomaly detection in network traffic using machine learning and neural network
Architectural framework of a prototype for anomaly detection in network traffic using machine learning
Wang, Х., Prudnik, А.
visual analytics and unsupervised machine learning. Built using a Flask-based three-tier architecture

Страница 6 из 3782

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