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Enabling Real-Time Quality Inspection in Smart Manufacturing Through Wearable Smart Devices and Deep Learning

Autor: Sarivan, Ioan-Matei, Greiner, Johannes, Díez Alvarez, Daniel, Euteneuer, Felix, Reichenbach, Matthias, Madsen, Ole, Bøgh, Simon

Publikováno v: Sarivan, I-M, Greiner, J, Díez Alvarez, D, Euteneuer, F, Reichenbach, M, Madsen, O & Bøgh, S 2020, ' Enabling Real-Time Quality Inspection in Smart Manufacturing Through Wearable Smart Devices and Deep Learning ', Procedia Manufacturing, vol. 51, pp. 373-380 . https://doi.org/10.1016/j.promfg.2020.10.053

In this paper, we present a novel method for utilising wearable devices with Convolutional Neural Networks (CNN) trained on acoustic and accelerometer signals in smart manufacturing environments in order to provide real-time quality inspection during

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1c15b82d06b32a7379176392c4d7c1e2
https://vbn.aau.dk/ws/files/431644731/1_s2.0_S2351978920319089_main.pdf

Rendering expressions to improve accuracy of relevance assessment for math search.

Autor: Reichenbach, Matthias S., Agarwal, Anurag, Zanibbi, Richard

Publikováno v: Proceedings of the 37th International ACM Sigir Conference Research & Development in Information Retrieval; 7/3/2014, p851-854, 4p