Publications
Researchers from 14 institutes and centres are working with industry and institutional partners to develop innovative, scientifically based solutions. This research work is documented in a number of scientific publications.
ZHAW digitalcollection
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Zumofen, Livia; Kirchheim, Andreas; Dennig, Hans-Jörg,
2020.
Progress in Additive Manufacturing.
2020(5), pp. 75-81.
Available from: https://doi.org/10.1007/s40964-020-00121-x
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Kropp, Martin; Meier, Andreas; Anslow, Craig; Biddle, Robert,
2020.
Satisfaction and its correlates in agile software development.
Journal of Systems and Software.
164, pp. 110544.
Available from: https://doi.org/10.1016/j.jss.2020.110544
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Goren Huber, Lilach,
2020.
Intelligente Instandhaltung : Chancen und Herausförderungen für die Umsetzung in der Praxis.
In:
Smart Maintenance Konferenz, Maintenance Messe, Zürich Oerlikon, 12. - 13. Februar 2020.
Available from: https://www.maintenance-schweiz.ch/en/smart-maintenance-conference/
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Huber, Philipp; Rosenthal, Matthias,
2020.
Echtzeit-Datenaustausch zwischen FPGA und GPU.
Aktuelle Technik.
2020(2), pp. 32-33.
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Templ, Matthias; Heitz, Christoph,
2020.
Austrian Journal of Statistics.
49(2), pp. 53-69.
Available from: https://doi.org/10.17713/ajs.v49i2.1114
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Chamorro, Harold; Gonzalez, Francisco; Rouzbehi, Kumars; Segundo Sevilla, Felix Rafael; Chavez, Hector; Sood, Vijay,
2020.
Innovative primary frequency control in low-inertia power systems based on wide-area RoCoF sharing.
IET Energy Systems Integration.
Available from: https://doi.org/10.1049/iet-esi.2020.0001
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Liebhart, Daniel,
2020.
Netzwoche.
2019(16), pp. 61.
Available from: https://doi.org/10.21256/zhaw-19926
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Sedding, Helmut A.,
2020.
Line side placement for shorter assembly line worker paths.
IISE Transactions.
52(2), pp. 181-198.
Available from: https://doi.org/10.1080/24725854.2018.1508929
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Brenner, Lorenz; Tillenkamp, Frank; Krütli, Markus; Ghiaus, Christian,
2020.
Applied Energy.
259(114111).
Available from: https://doi.org/10.1016/j.apenergy.2019.114111
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Meli, Marcel; Stajic, Stefan; Wick, Stefan,
2020.
Powering Sigfox nodes with harvested energy [paper].
In:
Embedded World Conference 2020, Nürnberg, 25.-27. Februar 2020.
WEKA.
Available from: https://doi.org/10.21256/zhaw-20066
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Meierhofer, Jürg; West, Shaun; Rapaccini, Mario; Barbieri, Cosimo,
2020.
The digital twin as a service enabler : from the service ecosystem to the simulation model [paper].
In:
Nóvoa, Henriqueta; Drăgoicea, Monica; Kühl, Niklas, eds.,
IESS 2020 : Exploring Service Science.
10th International Conference on Exploring Service Science, Porto, Portugal, 5–7 February 2020.
Cham:
Springer.
pp. 347-359.
Lecture Notes in Business Information Processing ; 377.
Available from: https://doi.org/10.1007/978-3-030-38724-2_25
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Jeunet, Camille; Tonin, Luca; Albert, Louis; Chavarriaga, Ricardo; Bideau, Benoît; Argelaguet, Ferran; Millán, José del R.; Lécuyer, Anatole; Kulpa, Richard,
2020.
Scientific Reports.
10(1705).
Available from: https://doi.org/10.1038/s41598-020-58533-2
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Zhang, Xiao; Wu, Dongrui; Ding, Lieyun; Luo, Hanbin; Lin, Chin-Teng; Jung, Tzyy-Ping; Chavarriaga, Ricardo,
2020.
National Science Review.
Available from: https://doi.org/10.1093/nsr/nwaa233
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Brenner, Lorenz; Steiger, Silvan; Shehu, Besetar; Schneider, Martin Albert; Tillenkamp, Frank,
2020.
Exerate proof of concept : Exergie-Ansatz zur Beurteilung der Energieeffizienz von Klimakälteanlagen.
Bern:
Bundesamt für Energie BFE.
Available from: https://doi.org/10.21256/zhaw-20206
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Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,
2020.
Multi-task learning approach for optical luminescence sensing [poster].
In:
Applied Machine Learning Days (AMLD), Lausanne, 25-29 January 2020.
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Fluder, Otto; Henke, René; Christopher, Henschel,
2020.
Aktuelle Technik.
2020(1), pp. 32-38.
Available from: https://doi.org/10.21256/zhaw-19430
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Wildi, Marc; McElroy, Tucker,
2020.
The multivariate linear prediction problem : model-based and direct filtering solutions.
Econometrics and Statistics.
14, pp. 112-130.
Available from: https://doi.org/10.1016/j.ecosta.2019.12.004
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Venturini, Francesca,
2020.
Applications of ML to oxygen sensing.
In:
Deep learning meets (Astro)physics : A one day tutorial on neural nets, deep learning and TensorFlow 2.0, with applications to (astro)physics and science, ETHZ, Institute for Particle Physics and Astrophysics, Zurich (Switzerland), 22 January 2020.
Available from: https://sites.google.com/view/dl-meets-astrophysics-2020/
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Boiger, Gernot Kurt; Lienhard, Viktor; Buff, Vincent; Siyahhan, Bercan,
2020.
In:
Invited Talk/Lecture at NIC National Institute of Chemistry, Ljubljana, Slovenia, 16 January 2020.
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Boiger, Gernot Kurt; Lienhard, Viktor; Buff, Vincent; Siyahhan, Bercan,
2020.
In:
Invited Talk/Lecture at NIC National Institute of Chemistry, Ljubljana, Slovenia, 16 January 2020.