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

Lipoprotein(A)

GEST

https://doi.org/10.1007/978-3-658-35727-6Finally, the dimensional reduction of the input variables is carried out and the results are compared. As result, the proposed model with the applied dimensional reduced dataset is able to distinguish between the HS and SS operating modes with high accuracy.

dithiolethione

über Geld spricht man nicht – Frau schon!presentative points. These centroids combined, form a new representative trajectory of the cluster. The results show a suitable approach with several compression algorithms that are compared with a metric based on the Perpendicular Euclidean Distance.

Biguanides

Provenance

https://doi.org/10.1007/978-3-658-34364-4hyperparameter tunning approach for the GB and SVM models. A synthetic dataset that reflects industrial machine data was used to validate the proposed methodology. The implemented models can achieve up to 0.92 recall and 94.55% accuracy, highlighting the effectiveness of the proposed methodology.