Publications

The following are publications by staff members of the Institute of Applied Mathematics and Physics (IAMP) arranged according to publication date:

Henrici, Andreas; Osterrieder, Jörg,

2022.

Editorial: Artificial intelligence in finance and industry: highlights from 6 European COST conferences.

Frontiers in Artificial Intelligence.

5(1007074).

Available from: https://doi.org/10.3389/frai.2022.1007074
Antille, Yasmine Sheila; Reif, Monika Ulrike,

2022.

Designing a driverless system architecture[paper].

In:

Yang, Xin-She; Sherratt, Simon; Dey, Nilanjan; Joshi, Amit, eds.,

Proceedings of Seventh International Congress on Information and Communication Technology.

7th International Congress on Information and Communication Technology (ICICT 2022), London, UK, 21-24 February 2022.

Singapore:

Springer.

pp. 499-507.

Lecture Notes in Networks and Systems ; 465.

Available from: https://doi.org/10.1007/978-981-19-2397-5_46
Herzog, Nicoleta; Weber, Alexander Séverin; Purea, Armin; Osen, David; Knott, Benno; Engelke, Frank; Wilhelm, Dirk; et al.,

2022.

Ultra low temperature microturbine for magic angle spinning system.

Journal of Fluids Engineering.

144(8), pp. 081205-1-081205-12.

Available from: https://doi.org/10.1115/1.4053746
Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Scarso, Alessandro; Caldarelli, Guido; Heitmann, Björn; Wilhelm, Dirk,

2022.

A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra[poster].

In:

Prisner, Thomas, ed.,

EUROMAR 2022 Abstractbook.

European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 236.

Available from: https://doi.org/10.21256/zhaw-27328
Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk,

2022.

Deconvolution of NMR spectra : a deep learning-based approach[poster].

In:

Prisner, Thomas, ed.,

EUROMAR 2022 Abstractbook.

European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

pp. 242.

Available from: https://doi.org/10.21256/zhaw-27336