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Issue Date	Title	Author(s)
2020	Analysis of Finite Fluctuations as a Basis of Deﬁning a Set of Neural Network Model Inputs	Sheglevatych, R. V.; Sysoev, A. S.
2018	Analysis of verbal disorders with the help of neural networks	Menshakou, P. A.
2022	Artificial intelligence and its importance	Lappo, K. S.
2023	Artificial intelligence implementation and development	Bulynia, A. V.; Kabacheuski, D. V.
2018	Audio/Speech Coding Based on the Perceptual Sparse Representation of the Signal with DAE Neural Network Quantizer and Near-End Listening Enhancement	Herasimovich, V.; Petrovsky, Al. A.; Avramov, V. V.; Petrovsky, A.
2021	Chest Pathologies Intellectual Analysis	Krasnoproshin, V.; Naumovich, A.
2021	Comparison of hybrid approaches in classification using decision trees and neural networks	Fomchenko, A.
2023	Detecting anomalies in network traffic using machine learning techniques	Tuleubay Safiullin; Abramovich, M.
2024	EmotionIQ: emotion recognition by photo with neural networks	Orsik, S. P.
2024	Emotioniq: emotion recognition by photo with neural networks	Orsik, S. P.
2023	Fast Random Search Algorithm in Neural networks Training	Matskevich, V.
2022	Gesture recognition based on convolutional neural network	Cheng Peng
2022	How do artificial neural networks work?	Pauliutkin, P. S.
2020	Hyperparameters of Multilayer Perceptron with Normal Distributed Weights	Karaki, Y.; Ivanov, N.
2019	Information structures in the framework of information warfare – ontology approach	Grabusts, P.
2023	Introduction to neural networks and deep learning	Боброва, Н. Л.; Стецко, В. Ю.; Харкевич, А. П.
2024	IoT Network for Diagnosis of Parkinson’s disease Using Neural Networks and OSTIS	Vishniakou, U.; Yiwei Xia
2023	IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning	Vishniakou, U. A.; YiWei Xia
2023	Learnable Global Layerwise Nonlinearities Without Activation Functions	Diamond, J.
2021	Linking Russian Words to Semantic Frames of FrameNet	Zlochevskaya, D.; Loukachevitch, N.; Nevzorova, O.

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Browsing by Subject neural networks