Titlebook: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Salamanca, Spain, Se Pablo García Bri

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https://doi.org/10.1007/978-3-662-40110-1dware devices, precisely on ESP32 microcontrollers so that devices do not need to depend on in-cloud remote servers. The tinyNARM reduces the number of attributes in the transaction database by discretizing the continuous numeric attributes, and replacing the stochastic evolutionary algorithm for as

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https://doi.org/10.1007/978-3-662-40110-1 methanation process. The optimal operation has been obtained from a multi-objective dynamic optimization based on an extended model of the anaerobic digestion model (ADM1 ME). Two datasets have been generated for the ADM1 ME model by generating disturbances on the inlet liquid flow rate (dataset 1)

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,über die Feinere Innervation der Tube, it is essential to establish future production. For this reason, in this work, the performance of different regression models when predicting the energy produced by a small wind turbine based on meteorological variables is compared, seeking the best predictions. Four methods are evaluated: polynomi

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,überseeischer Maschinenexport,ure. In this stage, a specific correlation case is being examined to determine the appropriate and sufficient variables needed to predict chemical oxygen demand (COD) in a wastewater treatment plant. Initially, four methods are used to select the features with all the variables being monitored. This

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,überseeischer Maschinenexport,rnatives, energy storage systems have become crucial to technological advancement. Batteries are among the most frequently used techniques for storing electrical energy. However, it is essential to be aware of the operating status of their load cells to achieve proper and secure operation. This stud

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Multi-scale Neural Model for?Tool-Narayanaswamy-Moynihan Model Parameter Extractionnd maintenance actions lead to rapid deterioration, decreased service life, lower level of service and increased community disruption. Therefore, this chapter aims at providing (1) a state-of-the-art review of the literature concerning deep learning techniques for detecting distress in both pavement

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First Approach of an Intelligent Automatic System for Aircraft Flap/Slat Positioningeiche des wirtschaftlichen Handels beeinflussen werden. So bergen dezentrale autonome Anwendungen enormes Potenzial, nicht nur Prozesse, sondern auch Vertragsabstimmungen zu automatisieren. Beispielsweise kann ein automatisiertes wirtschaftliches Handeln zwischen Maschinen erm?glicht werden. Um eine

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Fuzzy Aggregators in?Practice: Meta-Model and?Implementationg the nature and the limits of the power that adjudicators exert, be them State judges, or private arbitrators. Conversely, we can analyze it from the vantage of private law, focusing on the role of private autonomy, the importance of party impulse, and the relationship between procedural remedies a