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Showing results 1 to 20 of 71 next >

Issue Date	Title	Author(s)
2023	Assessing the Mass Transfer Coefficient in Jet Bioreactors with Classical Computer Vision Methods and Neural Networks Algorithms	Nizovtseva, I.; Palmin, V.; Simkin, I.; Starodumov, I.; Mikushin, P.; Nozik, A.; Hamitov, T.; Ivanov, S.; Vikharev, S.; Zinovev, A.; Svitich, V.; Mogilev, M.; Nikishina, M.; Kraev, S.; Yurchenko, S.; Mityashin, T.; Chernushkin, D.; Kalyuzhnaya, A.; Blyakhman, F.
2018	Building extraction from satellite imagery using a digital surface model	Dunaeva, A. V.; Kornilov, F. A.
2019	Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices	Karimov, A.; Razumov, A.; Manbatchurina, R.; Simonova, K.; Donets, I.; Vlasova, A.; Khramtsova, Y.; Ushenin, K.
2021	Computer vision system for the automatic asbestos content control in stones	Zyuzin, V.; Ronkin, M.; Porshnev, S.; Kalmykov, A.
2023	Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review	Pazderin, A.; Kamalov, F.; Gubin, P. Y.; Safaraliev, M.; Samoylenko, V.; Mukhlynin, N.; Odinaev, I.; Zicmane, I.
2022	Deep Machine Learning Potentials for Multicomponent Metallic Melts: Development, Predictability and Compositional Transferability	Ryltsev, R. E.; Chtchelkatchev, N. M.
2021	Deepfake: эволюция фейка как угроза медиасреде	Чертов, Д. А.; Chertov, D. A.
2023	Enhancing seismic design of non-structural components implementing artificial intelligence approach: Predicting component dynamic amplification factors	Bhavani, B. D.; Challagulla, S. P.; Noroozinejad, Farsangi, E.; Hossain, I.; Manne, M.
2021	Generation of echocardiographic 2D images of the heart using cGAN	Zyuzin, V.; Komleva, J.; Porshnev, S.
2023	Implication of radiation on the thermal behavior of a partially wetted dovetail fin using an artificial neural network	Nimmy, P.; Nagaraja, K. V.; Srilatha, P.; Karthik, K.; Sowmya, G.; Kumar, R. S. V.; Khan, U.; Hussain, S. M.; Hendy, A. S.; Ali, M. R.
2023	Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on k-Means and k-Nearest Neighbors Algorithms	Matrenin, P. V.; Khalyasmaa, A. I.; Gamaley, V. V.; Eroshenko, S. A.; Papkova, N. A.; Sekatski, D. A.; Potachits, Y. V.
2019	Machine learning in the processing and analysis of texts	Ptukhin, A. A.; Khrushkov, A. E.; Bozhko, E. M.; Птухин, А. А.; Хрушков, А. Е.; Божко, Е. М.
2014	Methods of neural networks and pattern recognition and theirs applications to economy, engineering, and medicine	Мазуров, Вл. Д.; Смирнов, А. И.; Mazurov, Vl. D.; Smirnov, A. I.
2020	Modeling of changes in heat resistance of nickel-based alloys using bayesian artificial neural networks	Anoshina, O. V.; Trubnikova, A. S.; Milder, O. B.; Tarasov, D. A.; Ganeev, A. A.; Tyagunov, A. G.
2022	Modeling the influence of the composition of refractory elements on the heat resistance of nickel alloys by a deep learning artificial neural network	Tarasov, D. A.; Milder, O. B.; Tiagunov, A. G.
2023	Noise-induced complex dynamics and synchronization in the map-based Chialvo neuron model	Bashkirtseva, I.; Ryashko, L.; Used, J.; Seoane, J. M.; Sanjuán, M. A. F.
2018	Nonlinear mean-field dynamo and prediction of solar activity	Safiullin, N.; Kleeorin, N.; Porshnev, S.; Rogachevskii, I.; Ruzmaikin, A.
2023	Operational Forecasting of Wind Speed for an Self-Contained Power Assembly of a Traction Substation	Matrenin, P. V.; Khalyasmaa, A. I.; Rusina, A. G.; Eroshenko, S. A.; Papkova, N. A.; Sekatski, D. А.
2022	Prediction of Sandstone Dilatancy Point in Different Water Contents Using Infrared Radiation Characteristic: Experimental and Machine Learning Approaches	Ma, L.; Khan, N. M.; Cao, K.; Rehman, H.; Salman, S.; Rehman, F. U.
2021	A Proposed ANN-Based Acceleration Control Scheme for Soft Starting Induction Motor	Menaem, A. A.; Elgamal, M.; Abdel-Aty, A. -H.; Mahmoud, E. E.; Chen, Z.; Hassan, M. A.

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