Publications

@article{Krukenfellner2024,

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

author = {Philip Krukenfellner and Elmar Rueckert and Helmut Flachberger},

url = {https://cloud.cps.unileoben.ac.at/index.php/s/GJN9XCBzW5TqPys},

isbn = {1558-1748},

year  = {2024},

date = {2024-10-04},

urldate = {2024-10-04},

journal = {IEEE Sensors Journal},

pages = {1--13},

keywords = {Applied Deep Learning, Industrial Applications, Vibrating Screens},

pubstate = {published},

tppubtype = {article}

}

@article{Trimmel2024,

title = {Green and blue infrastructure as model system for emissions of technology-critical elements},

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

url = {https://cloud.cps.unileoben.ac.at/index.php/s/WJwtk2JC4XnyzL6},

isbn = {0048-9697},

year  = {2024},

date = {2024-05-21},

journal = {Science of The Total Environment},

volume = {934},

note = {https://doi.org/10.1016/j.scitotenv.2024.173364},

keywords = {Applied Deep Learning, environmental health risks, pollution},

pubstate = {published},

tppubtype = {article}

}

@article{Krukenfellner2024,

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

author = {Philip Krukenfellner and Elmar Rueckert and Helmut Flachberger},

url = {https://cloud.cps.unileoben.ac.at/index.php/s/GJN9XCBzW5TqPys},

isbn = {1558-1748},

year  = {2024},

date = {2024-10-04},

urldate = {2024-10-04},

journal = {IEEE Sensors Journal},

pages = {1--13},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Trimmel2024,

title = {Green and blue infrastructure as model system for emissions of technology-critical elements},

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

url = {https://cloud.cps.unileoben.ac.at/index.php/s/WJwtk2JC4XnyzL6},

isbn = {0048-9697},

year  = {2024},

date = {2024-05-21},

journal = {Science of The Total Environment},

volume = {934},

note = {https://doi.org/10.1016/j.scitotenv.2024.173364},

keywords = {},

pubstate = {published},

tppubtype = {article}

}