Günther, Roman; Caseri, Walter; Brändli, Christof,

2023.

Application of atmospheric-pressure jet plasma in the presence of acrylic acid for joining polymers without adhesives.

Materials.

16(7), S. 2673.

Verfügbar unter: https://doi.org/10.3390/ma16072673

Schärer, Roman Pascal; Schumacher, Jürgen,

2023.

A transient non-isothermal cell performance model for organic redox flow batteries [Poster].

In:

19th Symposium on Modeling and Experimental Validation of Electrochemical Energy Technologies (ModVal), Duisburg, Germany, 21-23 March 2023.

Klenk, Markus,

2023.

Energiegründach mit vertikal installierter PV in der Praxis.

In:

21. Schweizer Photovoltaik-Tagung, Bern, Schweiz, 20.-21. März 2023.

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Yavari, Arash; Safa, Yasser; Soleiman Fallah, Arash,

2023.

Finite extension of accreting nonlinear elastic solid circular cylinders.

Continuum Mechanics and Thermodynamics.

36(5), S. 1053-1069.

Verfügbar unter: https://doi.org/10.1007/s00161-023-01208-w

Allenspach, Cyril Armand; Baumgartner, Franz,

2023.

Performance of power optimizer versus string inverter systems [Poster].

In:

21. Schweizer Photovoltaik-Tagung, Bern, Schweiz, 20.-21. März 2023.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-27169

Barth, Linard; Schweiger, Lukas; Galeno, Gianluca; Schaal, Nikolas; Ehrat, Matthias,

2023.

Value creation with digital twins : application-oriented conceptual framework and case study.

Applied Sciences.

13(6), S. 3511.

Verfügbar unter: https://doi.org/10.3390/app13063511

Bütikofer, Stephan; Wüst, Reimond Matthias,

2023.

Modelling approaches for travel chains of customers (in LinTim).

In:

Hot Topic Workshop: Integrated Planning in Public Transport, Münchweiler, Germany, 6-8 March 2023.

Schneider, Lukas; Kalt, Martina; Koch, Samuel; Sithamparanathan, Shanmugi; Villiger, Veronika; Mattiat, Johann; Kradolfer, Flavia; Slyshkina, Ekaterina; Luber, Sandra; Bonmarin, Mathias; Maake, Caroline; Spingler, Bernhard,

2023.

BODIPY-based photothermal agents with excellent phototoxic indices for cancer treatment.

Journal of the American Chemical Society.

145(8), S. 4534-4544.

Verfügbar unter: https://doi.org/10.1021/jacs.2c11650

Tan, Liguo; Zhou, Junjie; Zhao, Xing; Wang, Siyang; Li, Minghao; Jiang, Chaofan; Li, Hang; Zhang, Yu; Ye, Yiran; Tress, Wolfgang; Ding, Liming; Grätzel, Michael; Yi, Chenyi,

2023.

Combined vacuum evaporation and solution process for high-efficiency large-area perovskite solar cells with exceptional reproducibility.

Advanced Materials.

35(13), S. e2205027.

Verfügbar unter: https://doi.org/10.1002/adma.202205027

Michelucci, Umberto; Fluri, Silvan; Baumgartner, Michael; Venturini, Francesca,

2023.

Deep learning super resolution for high-speed excitation emission matrix measurements [Paper].

In:

Jalali, Bahram; Kitayama, Ken-ichi, Hrsg.,

AI and Optical Data Sciences IV.

SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

SPIE.

Verfügbar unter: https://doi.org/10.1117/12.2647589

Schläpfer, Tobias; Lorenz, David; Künzli, Simon,

2023.

Dynamic approach to IoT security : a new security solution for IoT [Paper].

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Proceedings of Embedded World Conference 2023.

Embedded World Conference, Nuremberg, Germany, 14-16 March 2023.

WEKA.

S. 261-266.

Verfügbar unter: https://doi.org/10.21256/zhaw-27992

Hernandez, Marco; Gür, Gürkan; Tangade, Shrikant; Namuduri, Kamesh,

2023.

Security for vehicle-to-vehicle communications for unmanned aircraft systems.

IEEE.

ISBN 978-1-5044-9576-9.

Verfügbar unter: https://ieeexplore.ieee.org/document/10085744

Mildenberger, Thoralf; Braschler, Martin; Ruckstuhl, Andreas; Vorburger, Robert; Stockinger, Kurt,

2023.

The role of data scientists in modern enterprises : experience from data science education.

SIGMOD Record.

52(2), S. 48-52.

Verfügbar unter: https://doi.org/10.21256/zhaw-27357

Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

2023.

Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra [Paper].

In:

Jalali, Bahram; Kitayama, Ken-ichi, Hrsg.,

AI and Optical Data Sciences IV.

SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

SPIE.

Verfügbar unter: https://doi.org/10.1117/12.2647809

Felux, Michael; Figuet, Benoit; Waltert, Manuel; Fol, Patric; Strohmeier, Martin; Olive, Xavier,

2023.

Analysis of GNSS disruptions in European airspace [Paper].

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Proceedings of the 2023 International Technical Meeting of The Institute of Navigation.

International Technical Meeting of the Institute of Navigation (ION ITM), Long Beach, USA, 24-26 January 2023.

Manassas:

Institute of Navigation.

S. 315-326.

Verfügbar unter: https://doi.org/10.33012/2023.18626

Cvetkovski, Oliver; Gkikopoulos, Panagiotis; Spillner, Josef,

2023.

Digitalisation in shopping : an IoT and smart applications perspective

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In:

Klymash, Mikhailo; Luntovskyy, Andriy; Beshley, Mykola; Melnyk, Igor; Schill, Alexander, Hrsg.,

Emerging Networking in the Digital Transformation Age.

Cham:

Springer.

S. 197-213.

Lecture Notes in Electrical Engineering ; 965.

Verfügbar unter: https://doi.org/10.1007/978-3-031-24963-1_11

Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G.; Graf, D.; Fey, M.; Henrici, A.; Ziebart, V.; Heitmann, B.; Grabner, H.; Wegner, J.D.; Sigel, R.K.O.; Wilhelm, D.,

2023.

Deconvolution of 1D NMR spectra : a deep learning-based approach.

Journal of Magnetic Resonance.

347(107357).

Verfügbar unter: https://doi.org/10.1016/j.jmr.2022.107357

Shin, Bong‐Rim; Yu, In Cheol; Jazbinsek, Mojca; Yoon, Woojin; Yun, Hoseop; Kim, Sang‐Wook; Kim, Dongwook; Rotermund, Fabian; Kwon, O‐Pil,

2023.

Dichlorinated organic‐salt terahertz sources for THz spectroscopy.

Advanced Optical Materials.

11(4), S. 2202027.

Verfügbar unter: https://doi.org/10.1002/adom.202202027

Meli, Marcel Louis; Favre, Sebastien; Maij, Benjamin; Stajic, Stefan; Boebel, Manuel; Poole, Philip John; Schellenberg, Martin; Kouzinopoulos, Charalampos S.,

2023.

Energy autonomous wireless sensing node working at 5 Lux from a 4 cm2 solar cell.

Journal of Low Power Electronics and Applications.

13(1), S. 12.

Verfügbar unter: https://doi.org/10.3390/jlpea13010012

Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

2023.

Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra.

In:

SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.