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Titlebook: 17th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Salamanca, Spain, Se Pablo García Bri

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https://doi.org/10.1007/978-3-658-34364-4sary maintenance costs and improve product quality in the manufacturing sector. The premise of this paper is to implement and explore some of the most promising machine learning models for PdM, a Gradient Boosting (GB) model, and a Support Vector Machine (SVM) model. An innovative methodology for mo
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Julian Windscheid,Till Rauterbergus process for the operators and stressful for the animal. In this paper, we propose a method to estimate the weight of live lambs automatically, fast, non-invasive and affordably. The system only requires a camera like those that can be found in mobile phones. Our approach is based on the use of a
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Julian Windscheid,Bernadette Gold been applied to analyse air quality in this complex zone. A three-year hourly database of air pollutants, meteorological and vessel data were used to test different prediction scenarios. The data were divided into disjoint quartiles (Q1–Q4). AE models are better performed in the medium values (quar
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Anwendung der Differentialrechnung, in . (Spain). Chlorophyll ɑ can be used as a eutrophication indicator, which is especially essential in a rich yet vulnerable ecosystem like the study area. Bayesian regularized artificial neural networks and Long Short-term Memory Neural Networks (LSTMs) employing a rolling window approach were us
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