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Comparative analysis of the security of configuration protocols for industrial control devices., , , , , и . Int. J. Crit. Infrastructure Prot., (2017)Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder., , , , , и . Integr. Comput. Aided Eng., 31 (2): 157-172 (2024)Analysis of electricity bills using visual continuous maps., , , , , и . Neural Comput. Appl., 23 (3-4): 645-655 (2013)An Approach to Develop Digital Twins in Industry., , , , , и . Sensors, 24 (3): 998 (февраля 2024)Tool for instruction and learning on variable speed drives through the Internet., , , , , , , и . ECC, стр. 4048-4053. IEEE, (2009)Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders., , , , , и . EANN, том 744 из Communications in Computer and Information Science, стр. 15-26. Springer, (2017)Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network., , , , , и . EANN, том 1600 из Communications in Computer and Information Science, стр. 247-259. Springer, (2022)Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers., , , , , и . EANN, том 1000 из Communications in Computer and Information Science, стр. 307-319. Springer, (2019)Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers., , , , и . Comput. Appl. Eng. Educ., 22 (3): 375-386 (2014)Guidelines to develop demonstration models on industry 4.0 for engineering training., , , , , и . Int. J. Comput. Integr. Manuf., 36 (10): 1465-1481 (октября 2023)