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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Gucciardi, Arnaud; El Ghazouali, Safouane; Michelucci, Umberto; Venturini, Francesca,
2024.
Machine learning feature extraction for predicting the ageing of olive oil [paper].
In:
Bocklitz, Thomas, ed.,
Data Science for Photonics and Biophotonics.
SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.
SPIE.
pp. 130110A.
Proceedings of SPIE ; 13011.
Available from: https://doi.org/10.1117/12.3017680
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2024.
In:
NGSolve User Meeting, Vienna, Austria, 17-19 June 2024.
Available from: https://simonstingelin.github.io/NGSUserMeeting24/intro.html
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De Lorenzi, Flavio; Weinmann, Tom; Bruderer, Simon; Heitmann, Björn; Henrici, Andreas; Stingelin, Simon,
2024.
Bayesian analysis of 1D 1H-NMR spectra.
Journal of Magnetic Resonance.
364(107723).
Available from: https://doi.org/10.1016/j.jmr.2024.107723
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Wick-Joliat, René; Weisshar, Florian B.; Gorbar, Michal; Meier, Daniel M.; Penner, Dirk,
2024.
CO2 capture with polyethylenimine supported on 3D-printed porous SiO2 structures.
Materials.
17(12), pp. 2913.
Available from: https://doi.org/10.3390/ma17122913
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Marmet, Philip; Holzer, Lorenz; Hocker, Thomas; Bausinger, Holger; Grolig, Jan G.; Mai, Andreas; Brader, Joseph M.; Boiger, Gernot K.,
2024.
The International Journal of Multiphysics.
18(2s), pp. 58-83.
Available from: https://doi.org/10.21256/zhaw-30992
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Boiger, Gernot Kurt; Siyahhan, Bercan,
2024.
In:
AIP Conference Proceedings.
20th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), Heraklion, Greece, 19-25 September 2022.
AIP Publishing.
pp. 030008.
Available from: https://doi.org/10.1063/5.0211780
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2024.
Wasserstoff: Schlüsselelement der Energiewende.
In:
11. Energiekongress, St. Gallen, Schweiz, 7. Juni 2024.
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Morgese, Giulia; Siegmann, Konstantin; Mu, Linyu; Schwitzer, Alwin; Winkler, Martin,
2024.
Hydrophile selbstschmierende Beschichtung für medizinische Interventionskatheter.
In:
Winterthurer Oberflächentag WOT, Winterthur, Schweiz, 6. Juni 2024.
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Schärer, Roman Pascal; Schumacher, Jürgen,
2024.
A hybrid 3D/2D model for performance predictions of organic flow battery cells [poster].
In:
The International Flow Battery Forum (IFBF), Glasgow, Scotland, 25-27 June 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
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Gopalakrishnan, Harish; Maddipati, Raj; Gruber, Andrea; Bothien, Mirko; Aditya, Konduri,
2024.
In:
Proceedings of ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition: Volume 3B: Combustion, Fuels, and Emissions.
ASME Turbo Expo 2024, London, United Kingdom, 24-28 June 2024.
Available from: https://doi.org/10.1115/GT2024-129095
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Weng, Joanna; Denzel, Philipp; Reif, Monika Ulrike; Schilling, Frank-Peter; Billeter, Yann; Frischknecht-Gruber, Carmen; Brunner, Stefan; Chavarriaga, Ricardo; Repetto, Marco; Iranfar, Arman,
2024.
Certification scheme for artificial intelligence based systems [paper].
In:
34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-30549
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van de Laar, Piërre; Corvino, Rosilde; Mooij, Arjan J.; van Wezep, Hans; Rosmalen, Raymond,
2024.
Custom static analysis to enhance insight into the usage of in-house libraries.
Journal of Systems and Software.
212(112028).
Available from: https://doi.org/10.1016/j.jss.2024.112028
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Deutschmann, Nicolas; Pelissier, Aurelien; Weber, Anna; Gao, Shuaijun; Bogojeska, Jasmina; Rodríguez Martínez, María,
2024.
Do domain-specific protein language models outperform general models on immunology-related tasks?.
Immunoinformatics.
142667-1190(100036).
Available from: https://doi.org/10.1016/j.immuno.2024.100036
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Baumann, Joachim; Sapiezynski, Piotr; Heitz, Christoph; Hannák, Anikó,
2024.
Fairness in online ad delivery [paper].
In:
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency.
7th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Rio de Janeiro, Brazil, 3-6 June 2024.
Association for Computing Machinery.
pp. 1418-1432.
Available from: https://doi.org/10.1145/3630106.3658980
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Carroll, Daniel; Kiener, Luca; Baumgartner, Daniel; Nusser, Michaela,
2024.
Finite element modelling of locking plate fixation during humeral abduction cycle [poster].
In:
29th Congress of the European Society of Biomechanics (ESB), Edinburgh, Scotland, 30 June - 3 July 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-31221
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Verstockt, Jan; Clarys, Warre; Hillen, Michaël; Verspeek, Simon; Bonmarin, Mathias; Thiessen, Filip; Broche, Lieve; Steenackers, Gunther,
2024.
HypIRskin : thermography-guided device for diagnosis and characterization of skin cancer lesions [paper].
In:
2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Eindhoven, The Netherlands, 26-28 June 2024.
IEEE.
Available from: https://doi.org/10.1109/MEMEA60663.2024.10596792
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Brunner, Stefan; Reif, Monika Ulrike; Rejzek, Martin,
2024.
In:
Kołowrocki, Krzysztof; Dąbrowska, Ewa, eds.,
Advances in Reliability, Safety and Security, Part 4.
34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024.
Gdynia:
Polish Safety and Reliability Association.
pp. 39-48.
Available from: https://doi.org/10.21256/zhaw-30985
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Dashti, Ali; Stadelmann, Thilo; Kohl, Thomas,
2024.
Machine learning for robust structural uncertainty quantification in fractured reservoirs.
Geothermics.
120(103012).
Available from: https://doi.org/10.1016/j.geothermics.2024.103012
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2024.
Journal of Scheduling.
27(3), pp. 257-275.
Available from: https://doi.org/10.1007/s10951-023-00787-5
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Kittelmann, Florian; Sulimov, Pavel; Stockinger, Kurt,
2024.
QardEst : using quantum machine learning for cardinality estimation of join queries [paper].
In:
1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data), ACM SIGMOD/PODS 2024, Santiago, Chile, 9 June 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-30917