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2024

Krukenfellner, Philip; Rueckert, Elmar; Flachberger, Helmut

Predicting condition states, based on displacement data, generated by acceleration sensors on industrial linear vibrating screens through neural networks Journal Article

In: IEEE Sensors Journal, pp. 1–13, 2024, ISBN: 1558-1748.

Links | BibTeX | Tags: Applied Deep Learning, Industrial Applications, Vibrating Screens

Predicting condition states, based on displacement data, generated by acceleration sensors on industrial linear vibrating screens through neural networks

Trimmel, Simone; Spörl, Philipp; Haluza, Daniela; Lashin, Nagi; Meisel, Thomas C.; Pitha, Ulrike; Prohaska, Thomas; Puschenreiter, Markus; Rückert, Elmar; Spangl, Bernhard; Wiedenhofer, Dominik; Irrgeher, Johanna

Green and blue infrastructure as model system for emissions of technology-critical elements Journal Article

In: Science of The Total Environment, vol. 934, 2024, ISBN: 0048-9697, (https://doi.org/10.1016/j.scitotenv.2024.173364).

Links | BibTeX | Tags: Applied Deep Learning, environmental health risks, pollution

Green and blue infrastructure as model system for emissions of technology-critical elements

Compact List without Images

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Journal Articles

Krukenfellner, Philip; Rueckert, Elmar; Flachberger, Helmut

Predicting condition states, based on displacement data, generated by acceleration sensors on industrial linear vibrating screens through neural networks Journal Article

In: IEEE Sensors Journal, pp. 1–13, 2024, ISBN: 1558-1748.

Links | BibTeX

Trimmel, Simone; Spörl, Philipp; Haluza, Daniela; Lashin, Nagi; Meisel, Thomas C.; Pitha, Ulrike; Prohaska, Thomas; Puschenreiter, Markus; Rückert, Elmar; Spangl, Bernhard; Wiedenhofer, Dominik; Irrgeher, Johanna

Green and blue infrastructure as model system for emissions of technology-critical elements Journal Article

In: Science of The Total Environment, vol. 934, 2024, ISBN: 0048-9697, (https://doi.org/10.1016/j.scitotenv.2024.173364).

Links | BibTeX