Sedding, Helmut A.,

2024.

Mixed-model moving assembly line material placement optimization for a shorter time-dependent worker walking time.

Journal of Scheduling.

27(3), S. 257-275.

Verfügbar unter: https://doi.org/10.1007/s10951-023-00787-5

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.

Verfügbar unter: https://doi.org/10.21256/zhaw-30917

Camenisch, Ursin; Michel, Clotaire,

2024.

Resilienz von Feuerwehren verbessern.

Management und Qualität.

2024(5-6), S. 41-43.

Verfügbar unter: https://doi.org/10.21256/zhaw-30910

Nusser, Michaela; Carroll, Daniel; Kiener, Luca; Baumgartner, Daniel,

2024.

Screw configuration optimization in 4-part humeral fracture surgery : an algorithmic approach [Poster].

In:

29th Congress of the European Society of Biomechanics (ESB), Edinburgh, Scotland, 30 June - 3 July 2024.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-31222

Wulf, Jochen; Meierhofer, Jürg,

2024.

Utilizing large language models for automating technical customer support.

arXiv.

Verfügbar unter: https://doi.org/10.48550/arXiv.2406.01407

Goren Huber, Lilach,

2024.

A data-centric-AI trick to clean your dirty data.

In:

Detecting unusual or abnormal patterns in data is one of the common tasks of AI algorithms in commercial applications. In some applications, such as fraud detection, defect detection or medical diagnostics, anomaly detection is the main objective. In other applications, detecting abnormal data points is part of the data cleaning and preparation pipeline. In all cases, the use of AI-based methods relies on having a training dataset which can represent the normal behaviour, and must therefore be free of anomalies. Problems arise when we realize that having an anomaly-free training dataset is not always possible in practice: most real-world datasets are contaminated with unknown anomalies or mislabeled data..

Tordoya Taquichiri, Carlos Rafael; Ganz, David,

2024.

AI acceleration for space applications.

In:

Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024.

Rechsteiner, Ralph,

2024.

Development of a containerized embedded operating environment with GUIX.

In:

Embedded Computing Conference (ECC), Winterthur, Switzerland, 28. Mai 2024.

Lone, Omar; Doran, Hans Dermot,

2024.

Evolving certification testing for industrial communication protocols.

In:

Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024.

Veljanovska, Suzana; Doran, Hans Dermot,

2024.

Feasibility of utilizing symbolic aggregate approximation in IoT platforms.

In:

Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024.

Tordoya Taquichiri, Carlos Rafael; Ganz, David; Buchheim, Klaus,

2024.

Reconfigurable hardware revisited : implementing an optimised AI pipeline on the HPDP processor.

In:

Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024.

Doran, Hans Dermot,

2024.

Safe and dependable AI, state of the art and prospectives.

In:

Embedded Computing Conference (ECC), Winterthur, Switzerland, 28 May 2024.

Cellina, Francesca; Derboni, Marco; Giuffrida, Vincenzo; Tomic, Uros; Hoerler, Raphael,

2024.

Trust me if you can : practical challenges affecting the integration of carpooling in Mobility-as-a-Service platforms.

Travel Behaviour and Society.

2024(37), S. 100832.

Verfügbar unter: https://doi.org/10.1016/j.tbs.2024.100832

Schmitt-Koopmann, Felix; Huang, Elaine M.; Hutter, Hans-Peter; Stadelmann, Thilo; Darvishy, Alireza,

2024.

MathNet : a data-centric approach for printed mathematical expression recognition.

IEEE Access.

12, S. 76963-76974.

Verfügbar unter: https://doi.org/10.1109/ACCESS.2024.3404834

Stocker, David; Sommer, Christian; Gueng, Sarah; Stäuble, Jason; Özden, Ismail; Griessinger, Jennifer; Weyland, Mathias S.; Lutters, Gerd; Scheidegger, Stephan,

2024.

Probabilistic U-Net model observer for the DDC method in CT scan protocol optimization.

Physics in Medicine & Biology.

69(11), S. 115026.

Verfügbar unter: https://doi.org/10.1088/1361-6560/ad4302

Brunner, Kilian; Da Silva Miranda, Luis; Ostertag, Martin,

2024.

Timestamp accuracy of 10BASE-T1L for TSN applications [Paper].

In:

2023 IEEE Third International Conference on Signal, Control and Communication (SCC).

3rd IEEE International Conference on Signal, Control and Communication (SCC), Hammamet, Tunisia, 1-3 December 2023.

IEEE.

Verfügbar unter: https://doi.org/10.1109/SCC59637.2023.10527511

Gür, Gürkan; Porambage, Pawani; Osorio, Diana Moya; Yavuz, Attila A.; Liyanage, Madhusanka,

2024.

6G security vision : a concise update [Paper].

In:

2023 IEEE Future Networks World Forum (FNWF).

IEEE Future Networks World Forum, Baltimore, USA, 13-15 November 2023.

IEEE.

Verfügbar unter: https://doi.org/10.1109/FNWF58287.2023.10520627

Wulf, Jochen; Meierhofer, Jürg,

2024.

Exploring the potential of large language models for automation in technical customer service [Paper].

In:

Bigdeli, Ali Z.; Baines, Tim; Akkermans, Henk, Hrsg.,

Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference.

Spring Servitization Conference, Tilburg, The Netherlands, 13-14 May 2024.

The Advanced Services Group.

S. 146-157.

Verfügbar unter: https://doi.org/10.21256/zhaw-30660

Benedech, Rodolfo; Moorthy, Anand R.; Weisskopf, Simon; Meierhofer, Jürg; Rapaccini, Mario,

2024.

Unveiling the synergy : economic and environmental value of building management systems in the era of digital service innovation [Paper].

In:

Bigdeli, Ali Z.; Baines, Tim; Akkermans, Henk, Hrsg.,

Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference.

Spring Servitization Conference, Tilburg, The Netherlands, 13-14 Mai 2024.

The Advanced Services Group.

S. 181-192.

Verfügbar unter: https://doi.org/10.21256/zhaw-30883

Baumgartner, Corinna; Helmers, Eckard,

2024.

Life cycle assessment of electric kick scooters : consolidating environmental impact quantification and concluding climate-friendly use options.

Environmental Sciences Europe.

36(1), S. 96.

Verfügbar unter: https://doi.org/10.1186/s12302-024-00920-x