Blumensaat, Frank; Schaltegger, Fabian; Ebi, Christian; Rüst, Andreas,

2020.

Das Internet der Dinge im städtischen Abwassersystem : Potenziale der LoRa-Technologie für reichweitenkritische Anwendungen im Untergrund[Paper].

In:

Internet of Things : vom Sensor bis zur Cloud, Online, 20. - 21. Oktober 2020.

Haar:

WEKA.

Verfügbar unter: https://doi.org/10.21256/zhaw-21151

Marmet, Philip; Hocker, Thomas; Grolig, Jan G.; Bausinger, Holger; Mai, Andreas; Brader, Joseph M.; Holzer, Lorenz,

2020.

Towards model-based optimization of CGO/Ni anodes[Paper].

In:

14th European SOFC & SOE Forum, Lucerne, Switzerland (online), 20-23 October 2020.

Zenodo.

Verfügbar unter: https://doi.org/10.5281/zenodo.4556898

Räber, Manuel; Heinzelmann, Andreas; Amiras, Patrick,

2020.

Analysis on the use of non-resonant inverters in single-phase induction heating applications[Paper].

In:

Proceedings : IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society.

IECON 2020, Singapore, 18-21 October 2020.

IEEE.

Verfügbar unter: https://doi.org/10.21256/zhaw-20713

Baumann, Patrick; Heinzelmann, Andreas,

2020.

How to collect current usage data outside the laboratory.

In:

7th RME Research Conference, Virtual Conference, 19-20 October 2020.

Baiker, Alfons; Wang, Xianwei; Maeda, Nobutaka; Meier, Daniel Matthias,

2020.

Potassium titanate nanobelts : a unique support for Au and AuRh nanoparticles in the catalytic reduction of NO with CO.

ChemCatChem.

13(1), S. 438-444.

Verfügbar unter: https://doi.org/10.1002/cctc.202001401

van den Boogaart, K.G.; Filzmoser, P.; Hron, K.; Templ, M.; Tolosano-Delgado, R.,

2020.

Classical and robust regression analysis with compositional data.

Mathematical Geosciences.

53(5), S. 823-858.

Verfügbar unter: https://doi.org/10.1007/s11004-020-09895-w

Steinmetz, Lukas; Geers, Christoph; Balog, Sandor; Bonmarin, Mathias; Rodriguez-Lorenzo, Laura; Taladriz-Blanco, Patricia; Rothen-Rutishauser, Barbara; Petri-Fink, Alke,

2020.

A comparative study of silver nanoparticle dissolution under physiological conditions.

Nanoscale Advances.

2(12), S. 5760-5768.

Verfügbar unter: https://doi.org/10.1039/D0NA00733A

Meierhofer, Jürg; Homberger, Pascal,

2020.

Digitale Service Innovation in Wertschöpfungsnetzwerken : Anwendung im Getränkemarkt.

ServiceToday.

34(4), S. 78-79.

Verfügbar unter: https://doi.org/10.21256/zhaw-20827

Taçyıldız, Yaşar Berkay; Ermiş, Orhan; Gür, Gürkan; Alagöz, Fatih,

2020.

Dynamic group key agreement for resource-constrained devices using blockchains[Paper].

In:

Zhou, Jianying, Hrsg.,

Applied Cryptography and Network Security Workshops.

18th International Conference on Applied Cryptography and Network Security, Rome, Italy, 19-22 October 2020.

Cham:

Springer.

S. 58-76.

Lecture Notes in Computer Science ; 12418.

Verfügbar unter: https://doi.org/10.1007/978-3-030-61638-0_4

Diethelm, Matthias; Penninck, Lieven; Regnat, Markus; Offermans, Ton; Zimmermann, Birger; Kirsch, Christoph; Hiestand, Roman; Altazin, Stéphane; Ruhstaller, Beat,

2020.

Finite element modeling for analysis of electroluminescence and infrared images of thin-film solar cells.

Solar Energy.

209, S. 186-193.

Verfügbar unter: https://doi.org/10.1016/j.solener.2020.08.058

Herzog, Lisa; Murina, Elvis; Dürr, Oliver; Wegener, Susanne; Sick, Beate,

2020.

Integrating uncertainty in deep neural networks for MRI based stroke analysis.

Medical Image Analysis.

65(101790).

Verfügbar unter: https://doi.org/10.1016/j.media.2020.101790

Müller, Marianne; Haenni Hoti, Andrea,

2020.

Item analysis of the KIDSCREEN-10 using Rasch modelling.

Health and Quality of Life Outcomes.

18(1), S. 342-384.

Verfügbar unter: https://doi.org/10.1186/s12955-020-01596-6

Weber, Maurice; Renggli, Cedric; Grabner, Helmut; Zhang, Ce,

2020.

Observer dependent lossy image compression[Paper].

In:

42nd German Conference on Pattern Recognition (DAGM-GCPR), virtual, 28 September - 1 October 2020.

Verfügbar unter: https://doi.org/10.48550/arXiv.1910.03472

Noseda, Mario; Zimmerli, Lea; Rüst, Andreas,

2020.

Security by design for IoT devices[Paper].

In:

Security By Design for Embedded Systems, Online, 29 September & 3 November 2020.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-20718

Brünnler, Kai; Flumini, Dandolo; Studer, Thomas,

2020.

A logic of blockchain updates.

Journal of Logic and Computation.

30(8), S. 1469-1485.

Verfügbar unter: https://doi.org/10.1093/logcom/exaa045

Barocio, Emilio; Romero, Josue; Betancourt, Ramon; Korba, Petr; Segundo Sevilla, Felix Rafael,

2020.

Wide-area monitoring of large power systems based on simultaneous processing of spatio-temporal data.

In:

Alhelou, Hassan Haes; Abdelaziz, Almoataz Y.; Siano, Pierluigi, Hrsg.,

Wide Area Power Systems Stability, Protection, and Security.

Cham:

Springer.

S. 189-228.

Verfügbar unter: https://doi.org/10.1007/978-3-030-54275-7_7

Weyland, Mathias S.; Thumser-Henner, Pauline; Nytko, Katarzyna J.; Rohrer Bley, Carla; Ulzega, Simone; Petri-Fink, Alke; Lattuada, Marco; Füchslin, Rudolf Marcel; Scheidegger, Stephan,

2020.

Holistic view on cell survival and DNA damage : how model-based data analysis supports exploration of dynamics in biological systems.

Computational and Mathematical Methods in Medicine.

2020.

Verfügbar unter: https://doi.org/10.1155/2020/5972594

Di Sorbo, Andrea; Grano, Giovanni; Visaggio, Corrado Aaron; Panichella, Sebastiano,

2020.

Investigating the criticality of user‐reported issues through their relations with app rating.

Journal of Software: Evolution and Process.

Verfügbar unter: https://doi.org/10.1002/smr.2316

Panichella, Sebastiano; Zaugg, Nik,

2020.

An empirical investigation of relevant changes and automation needs in modern code review.

Empirical Software Engineering.

25(6), S. 4833-4872.

Verfügbar unter: https://doi.org/10.1007/s10664-020-09870-3

Weber, Raphael; Mehmet, Yesil; Füchslin, Rudolf Marcel; Stockinger, Kurt,

2020.

Quantum databases and quantum machine learning : how far can we go on a publicly available quantum computer?.

In:

Datalab Seminar ZHAW, Winterthur, 9. September 2020.

Verfügbar unter: https://www.zhaw.ch/de/forschung/departementsuebergreifende-kooperationen/datalab/datalab-seminar/