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Visual Analysis of a Cold Rolling Process Using Data-Based Modeling.

, , , , , , and . EANN, volume 311 of Communications in Computer and Information Science, page 244-253. Springer, (2012)

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Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers., , , , , and . EANN, volume 1000 of Communications in Computer and Information Science, page 307-319. Springer, (2019)Adaptive Model for Industrial Systems Using Echo State Networks., , , , , and . EANN, volume 1826 of Communications in Computer and Information Science, page 367-378. Springer, (2023)Visualizing Knowledge for Data Mining using Dimension Reduction Mappings., , and . IRI, page 235-240. IEEE Systems, Man, and Cybernetics Society, (2004)MorphingProjections: Interactive Visualization of Electric Power Demand Time Series., , , , and . EuroVis (Short Papers), Eurographics Association, (2012)Health indicator for machine condition monitoring built in the latent space of a deep autoencoder., , , and . Reliab. Eng. Syst. Saf., (2022)Estimating cooling production and monitoring efficiency in chillers using a soft sensor., , , , , and . Neural Comput. Appl., 32 (23): 17291-17308 (2020)Internet-based remote supervision of industrial processes using self-organizing maps., , , , and . Eng. Appl. Artif. Intell., 20 (6): 757-765 (2007)Analysis of Electricity Bill Data using Interactive Dimensionality Reduction., , , , and . EANN Workshops, page 3:1-3:7. ACM, (2015)Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine., , , , and . AIAI Workshops, volume 677 of IFIP Advances in Information and Communication Technology, page 446-457. Springer, (2023)Visualizing Cell Motility Patterns from Time Lapse Videos with Interactive 2D Maps Generated with Deep Autoencoders., , , , , , and . AIAI Workshops, volume 677 of IFIP Advances in Information and Communication Technology, page 458-468. Springer, (2023)