All publications from the School of Engineering | ZHAW Zurich University of Applied Sciences

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), pp. 4534-4544.

Available from: 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), pp. e2205027.

Available from: 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, eds.,

AI and Optical Data Sciences IV.

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

SPIE.

Available from: 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].

In:

Proceedings of Embedded World Conference 2023.

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

WEKA.

pp. 261-266.

Available from: 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.

Available from: 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), pp. 48-52.

Available from: 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, eds.,

AI and Optical Data Sciences IV.

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

SPIE.

Available from: 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].

In:

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.

pp. 315-326.

Available from: https://doi.org/10.33012/2023.18626

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

2023.

Digitalisation in shopping : an IoT and smart applications perspective

.

In:

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

Emerging Networking in the Digital Transformation Age.

Cham:

Springer.

pp. 197-213.

Lecture Notes in Electrical Engineering ; 965.

Available from: 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).

Available from: 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), pp. 2202027.

Available from: 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), pp. 12.

Available from: 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.

Militano, Leonardo; Arteaga, Adriana; Toffetti Carughi, Giovanni; Mitton, Nathalie,

2023.

The cloud-to-edge-to-IoT continuum as an enabler for search and rescue operations.

Future Internet.

15(2), pp. 55.

Available from: https://doi.org/10.3390/fi15020055

Durand, Eliot; Durdina, Lukas; Smallwood, Greg; Johnson, Mark; Spirig, Curdin; Edebeli, Jacinta; Roth, Manuel; Brem, Benjamin; Sevcenco, Yura; Crayford, Andrew,

2023.

Correction for particle loss in a regulatory aviation nvPM emissions system using measured particle size.

Journal of Aerosol Science.

169(106140).

Available from: https://doi.org/10.1016/j.jaerosci.2023.106140

Füchslin, Rudolf Marcel; Ambühl, Jacques; Faggian, Alessia; Fellermann, Harold M.; Flumini, Dandolo; Geller, Armando; Hanczyc, Martin M.; Klinkert, Andreas; Krütli, Pius; Matuttis, Hans-Georg; Ott, Thomas; Scheidegger, Stephan; Schmid, Gary Bruno; Smieszek, Timo; Schneider, Johannes J.; Steiner, Albert; Weyland, Mathias S.,