Titlebook: 14th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Seville, Spain, May Francisco Martín

新陳代謝

Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application978-3-663-04213-6

監(jiān)禁

dearth

畸形

stress-response

,R?uber, Schwindler, Menschenfresser,video-based model and a sensor-based model based on deep learning. To evaluate the performance of the proposed method, experiments are conducted with the data collected from real construction workplace. The proposed method yields the accuracy of 98.48% which is higher than conventional methods, and

Pantry

Offstage

星星

Sprache und Musik: Intermediale Relationenetwork of sensors into grey-scaled maps is proposed. Later, these maps are investigated for searching outliers—extreme episodes—with .. Also the sensitivity of the search of extreme episodes to the methodology for transforming numerical information into maps is investigated.

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anarchist