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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)

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Juan Carlos Ramírez Martínez

Hsiao-Mei Juan

Alexander Juan

Juan Alfredo Martínez Jerves

María Elena Juan Pardo

 

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Tool for instruction and learning on variable speed drives through the Internet., , , , , , , и . ECC, стр. 4048-4053. IEEE, (2009)Remote Laboratory with an Electro-Pneumatic Classication Cell., , , , , и . ACE, стр. 351-356. International Federation of Automatic Control, (2013)Virtual and Remote Laboratory of a DC Motor., , , , , и . ACE, стр. 288-293. International Federation of Automatic Control, (2012)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)Modeling of Dynamics Using Process State Projection on the Self Organizing Map., , , , , и . ICANN (1), том 4668 из Lecture Notes in Computer Science, стр. 589-598. Springer, (2007)Internet-based remote supervision of industrial processes using self-organizing maps., , , , и . Eng. Appl. Artif. Intell., 20 (6): 757-765 (2007)Analysis of Electricity Bill Data using Interactive Dimensionality Reduction., , , , и . EANN Workshops, стр. 3:1-3:7. ACM, (2015)MorphingProjections: Interactive Visualization of Electric Power Demand Time Series., , , , и . EuroVis (Short Papers), Eurographics Association, (2012)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)Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network., , , , , и . EANN, том 2 из Proceedings of the International Neural Networks Society, стр. 155-166. Springer, (2020)Online only because of the COVID-19 pandemic..