Publikationen
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Sedding, Helmut A.,
2023.
Journal of Scheduling.
Verfügbar unter: https://doi.org/10.1007/s10951-023-00787-5
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Mildenberger, Thoralf,
2023.
Assessing keyness using permutation tests.
arXiv.
Verfügbar unter: https://doi.org/10.48550/arXiv.2308.13383
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Wulf, Jochen,
2023.
Medium.
Verfügbar unter: https://medium.com/@jocwulf/gamification-of-childrens-learning-with-chatgpt-a-prototype-application-and-first-application-51e5cb89c6c8
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Wulf, Jochen; Meierhofer, Jürg,
2023.
Pioneering a new era of automated customer service with large language models (LLMs).
Medium.
Verfügbar unter: https://medium.com/@jocwulf/pioneering-a-new-era-of-automated-customer-service-with-large-language-models-llms-1cc4aacbeb03
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Wulf, Jochen; Meierhofer, Jürg,
2023.
Unlocking the business potential of large language models : real-world applications and obstacles.
LinkedIn Pulse.
Verfügbar unter: https://www.linkedin.com/pulse/unlocking-business-potential-large-language-models-real-world-wulf/
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Schweiger, Lukas; Barth, Linard,
2023.
Properties and characteristics of digital twins : review of industrial definitions.
SN Computer Science.
4(5), S. 436.
Verfügbar unter: https://doi.org/10.1007/s42979-023-01937-4
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Sedding, Helmut; Seidel, Maxim,
2023.
Lot sizing and scheduling of injection molding machines with setup resources and demand uncertainty [Paper].
In:
IWDSP 2023 : The Fourth International Workshop on Dynamic Scheduling Problems, Winterthur, Switzerland, 5-6 June 2023.
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Goren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel,
2023.
Physics-informed machine learning for predictive maintenance : applied use-cases [Paper].
In:
2023 10th IEEE Swiss Conference on Data Science (SDS).
10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.
IEEE.
S. 66-72.
Verfügbar unter: https://doi.org/10.1109/SDS57534.2023.00016
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Muratori, Corrado,
2023.
Planning and visual tools for an optimal linking of on-demand services & public transit [Paper].
In:
23rd Swiss Transport Research Conference (STRC), Ascona, Switzerland, 10-12 May 2023.
Lausanne:
Visual Intelligence for Transport, EPFL.
S. 24.
Verfügbar unter: https://www.strc.ch/2023/Muratori.pdf
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Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas,
2023.
Data driven decision support framework for industrial smart services design and operations [Poster].
In:
Bigdeli, Ali Z.; Kohtamäki, Marko; Rabetino, Rodrigo; Baines, Tim, Hrsg.,
The Role of Servitization in Grand Challenges.
Spring Servitization Conference (SSC), Helsinki, Finland, 8-9 May 2023.
Birmingham:
Aston University.
S. 220-221.
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Weisskopf, Simon; Meierhofer, Jürg,
2023.
Industrial smart services for circular economy [Paper].
In:
Bigdeli, Ali Z.; Kohtamäki, Marko; Rabetino, Rodrigo; Baines, Tim, Hrsg.,
The Role of Servitization in Grand Challenges.
Spring Servitization Conference (SSC), Helsinki, Finland, 8-9 May 2023.
Birmingham:
Aston University.
S. 54-64.
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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
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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.
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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
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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
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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.,
2023.
Ethical aspects of computational modelling in science, decision support and communication [Paper].
In:
Artificial Life and Evolutionary Computation.
XV Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.
Cham:
Springer.
Communications in Computer and Information Science ; 1722.
Verfügbar unter: https://doi.org/10.1007/978-3-031-23929-8_24
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Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Ziebart, Volker; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,
2023.
Deconvolution of NMR spectra : a deep learning-based approach [Poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-27429
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Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Pyatigorskaya, Asya; Schiffer, Penny; Grabner, Helmut,
2023.
Making it into a successful series a funding : an analysis of Crunchbase and LinkedIn data.
The Journal of Finance and Data Science.
9(100099).
Verfügbar unter: https://doi.org/10.1016/j.jfds.2023.100099
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Renold, Manuel; Vollenweider, Janik; Mijović, Nemanja; Kuljanin, Jovana; Kalić, Milica,
2023.
Journal of Air Transport Management.
106(102305).
Verfügbar unter: https://doi.org/10.1016/j.jairtraman.2022.102305
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Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Grabner, Helmut,
2023.
Mitigating discriminatory biases in success prediction models for venture capitals [Paper].
In:
2023 10th IEEE Swiss Conference on Data Science (SDS).
10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.
IEEE.
S. 26-33.
Verfügbar unter: https://doi.org/10.1109/SDS57534.2023.00011
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Meierhofer, Jürg; West, Shaun; Buecheler, Thierry, Hrsg.,
2023.
Smart Services Summit : smart services creating sustainability.
Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022.
Cham:
Springer.
Progress in IS.
ISBN 978-3-031-36697-0.
Verfügbar unter: https://doi.org/10.1007/978-3-031-36698-7
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Meierhofer, Jürg; Stucki, Melissa,
2023.
Sustainable value optimization by smart services along the customer lifecycle [Paper].
In:
Meierhofer, Jürg; West, Shaun; Buecheler, Thierry, Hrsg.,
Smart Services Summit : smart services creating sustainability.
Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022.
Cham:
Springer.
S. 23-30.
Progress in IS.
Verfügbar unter: https://doi.org/10.1007/978-3-031-36698-7_3
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Meierhofer, Jürg; Stucki, Melissa,
2023.
Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services.
Service Today.
2023(1), S. 71-72.
Verfügbar unter: https://doi.org/10.21256/zhaw-27574
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Monstein, Raphael; Figuet, Benoit; Krauth, Timothé; Waltert, Manuel; Dettling, Marcel,
2022.
Large landing trajectory dataset for go-around analysis [Paper].
In:
10th OpenSky Symposium, Delft, The Netherlands, 10-11 November 2022.
MDPI.
S. 2.
Verfügbar unter: https://doi.org/10.3390/engproc2022028002
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Herzog, Lisa; Kook, Lucas; Götschi, Andrea; Petermann, Katrin; Hänsel, Martin; Hamann, Janne; Dürr, Oliver; Wegener, Susanne; Sick, Beate,
2022.
Deep transformation models for functional outcome prediction after acute ischemic stroke.
Biometrical Journal.
Verfügbar unter: https://doi.org/10.1002/bimj.202100379
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Scherrer, Maike; Steiner, Albert; Rühlin, Viola,
2022.
Greening urban logistics : introducing a method to evaluate optimised decoupling hub locations [Paper].
In:
9th Transport Research Arena (TRA), Lisbon, Portugal, 14-17 November 2022.
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Meierhofer, Jürg; Stucki, Melissa,
2022.
Mit Smart Services zu mehr Nachhaltigkeit.
KunststoffXtra .
2022(11-12), S. 54-56.
Verfügbar unter: https://doi.org/10.21256/zhaw-26269
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Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach,
2022.
Physics informed deep learning for tracker fault detection in photovoltaic power plants [Paper].
In:
Kulkarni, Chetan; Saxena, Abhinav, Hrsg.,
Proceedings of the Annual Conference of the PHM Society 2022.
14th Annual Conference of the Prognostics and Health Management Society, Nashville, USA, 1-4 November 2022.
PHM Society.
Verfügbar unter: https://doi.org/10.36001/phmconf.2022.v14i1.3235
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Braune, Stefan; Drewek, Anna; Bergmann, Arnfin; Keenan, Alex; Gandhi, Kavita; Schuler, Maximilian; van Denderen, Jacqueline; Ait-Tihyaty, Maria; H Le, Hoa,
2022.
In:
38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis, Amsterdam, The Netherlands, 26-28 October 2022.
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Braune, Stefan; Drewek, Anna; Bergmann, Arnfin; Schuler, Maximilian; Ait-Tihyaty, Maria; H Le, Hoa; Keenan, Alex; Gandhi, Kavita; van Denderen, Jacqueline,
2022.
In:
38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis, Amsterdam, The Netherlands, 26-28 Oktober 2022.
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Bütikofer, Stephan; Wüst, Reimond Matthias,
2022.
Erweiterungsmassnahmen für LinTim-Einsätze in «Multi-Linetype»-Umgebungen.
In:
Workshop der DFG-Forschungsgruppe 2083, Industrietag LinTim, Karlsruhe, Deutschland, 22. September 2022.
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Bütikofer, Stephan; Wüst, Reimond Matthias; Zumkehr, Maria,
2022.
Automatic generation of a service intention in public transport with integrated travel chains.
In:
Annual conference of the Operations Research Society of Germany (GOR e.V.) (OR2022), Karlsruhe, Germany, 6-9 September 2022.
Verfügbar unter: https://www.or2022.de/
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Bütikofer, Stephan; Wüst, Reimond Matthias; Steiner, Albert; Fontana, Dominik,
2022.
Efficient timetable stability analysis using a graph contraction procedure.
In:
Fifth International Conference on Railway Technology: Research, Development and Maintenance, Montpellier, France, 22-25 August 2022.
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Bütikofer, Stephan; Fontana, Dominik; Steiner, Albert; Wüst, Raimond,
2022.
Efficient timetable stability analysis using a graph contraction procedure [Paper].
In:
Fifth International Conference on Railway Technology: Research, Development and Maintenance, Montpellier, France, 22-25 August 2022.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-27165
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De Martinis, Valerio,
2022.
Enhancing the calibration of train resistance parameters with power measurements [Paper].
In:
Fifth International Conference on Railway Technology: Research, Development and Maintenance, Montpellier, France, 22-25 August 2022.
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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, Hrsg.,
EUROMAR 2022 Abstractbook.
European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
S. 242.
Verfügbar unter: https://doi.org/10.21256/zhaw-27336
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Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach,
2022.
Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data [Paper].
In:
Do, Phuc; Michau, Gabriel; Ezhilarasu, Cordelia, Hrsg.,
Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022.
7th European PHM, Turin, Italy, 6-8 July 2022.
State College:
PHM Society.
S. 530-540.
PHM Society European Conference ; 7.
Verfügbar unter: https://doi.org/10.36001/phme.2022.v7i1.3342
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Sedding, Helmut,
2022.
Scheduling with time-dependent processing time functions of V-shaped linear pieces.
In:
18th Swiss Operations Research Days (Swiss OR Days 2022), Winterthur, Switzerland, 2-3 June 2022.
-
Goren Huber, Lilach; Notaristefano, Antonio,
2022.
Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall Photovoltaikanlagen.
fmpro service.
2022(3), S. 24-25.
Verfügbar unter: https://doi.org/10.21256/zhaw-25292
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Gioia, Stefano; Bütikofer, Stephan; Wüst, Reimond Matthias,
2022.
In:
22nd Swiss Transport Research Conference (STRC), Ascona, Switzerland, 18-20 May 2022.
Institute for Transport Planning and Systems, ETH Zurich.
S. 18.
Verfügbar unter: https://www.strc.ch/2022/Gioia_EtAl.pdf
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Meierhofer, Jürg; Kugler, Petra; Vogt, Helen; Dobler, Martin; Benedech, Rodolfo Andres; Strittmatter, Marc; Treiterer, Manuel,
2022.
In:
Bigdeli, Ali; Rapaccini, Mario; Saccani, Nicola; Adrodegari, Federico; Baines, Tim, Hrsg.,
Achieving Net-Zero through Servitization.
Spring Servitization Conference (SSC), Florence, Italy, 9-10 May 2022.
Birmingham:
Aston University.
S. 86-94.
Verfügbar unter: https://doi.org/10.21256/zhaw-25047
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Schweiger, Lukas; Meierhofer, Jürg; Barbieri, Cosimo; Rapaccini, Mario,
2022.
End-to-end digital twin approach for near-real-time decision support services [Paper].
In:
West, Shaun; Meierhofer, Jürg; Mangla, Utpal, Hrsg.,
Smart services summit : smart services supporting the new normal.
Fourth Smart Services Summit, Zurich, 22 October 2021.
Cham:
Springer.
S. 67-75.
Progress in IS.
Verfügbar unter: https://doi.org/10.1007/978-3-030-97042-0_7
-
Schmidhuber, Christof,
2022.
Financial markets and the phase transition between water and steam.
Physica A: Statistical Mechanics and its Applications.
592(126873).
Verfügbar unter: https://doi.org/10.1016/j.physa.2022.126873
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Meierhofer, Jürg,
2022.
Wie produzierende KMU den Wert ihrer Daten erkennen können.
Topsoft-Fachmagazin.
22(1), S. 10-11.
Verfügbar unter: https://doi.org/10.21256/zhaw-24559
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Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas; Barbieri, Cosimo; Rapaccini, Mario,
2022.
Quantitative modelling of the value of data for manufacturing SMEs in smart service provision [Paper].
In:
Le Dinh, Thắng; Drăgoicea, Monica, Hrsg.,
International Conference on Exploring Service Science (IESS 2.2).
12th International Conference on Exploring Service Science, Geneva (virtual), 16-18 February 2022.
EDP Sciences.
S. 04001.
ITM Web of Conferences ; 41.
Verfügbar unter: https://doi.org/10.1051/itmconf/20224104001
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Meierhofer, Jürg,
2022.
KunststoffXtra .
1-2(2022), S. 30-32.
Verfügbar unter: https://doi.org/10.21256/zhaw-24530
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Bütikofer, Stephan; Wüst, Reimond Matthias; Zumkehr, Maria,
2022.
A service intention in public transport with integrated travel chains : generation and benefits.
In:
18th Swiss Operations Research Days (Swiss OR Days 2022), Winterthur, Switzerland, 2-3 June 2022.
-
Templ, Matthias; Sariyar, Murat,
2022.
A systematic overview on methods to protect sensitive data provided for various analyses.
International Journal of Information Security.
21(6), S. 1233-1246.
Verfügbar unter: https://doi.org/10.1007/s10207-022-00607-5
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Wang, Pengling; Jeiziner, Annik; Luan, Xiaojie; De Martinis, Valerio; Corman, Francesco,
2022.
An experimental analysis of hierarchical rail traffic and train control in a stochastic environment.
Journal of Advanced Transportation.
2022(8674538).
Verfügbar unter: https://doi.org/10.1155/2022/8674538
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Baldenweg-Bölle, Ulrike; Meierhofer, Jürg; Mertes, Alexander,
2022.
Co-creating service value from data in a public administration context.
Swiss Yearbook of Administrative Sciences.
13(1), S. 35-50.
Verfügbar unter: https://doi.org/10.5334/ssas.163
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Scherrer, Maike; Steiner, Albert; Rühlin, Viola,
2022.
Decoupling hubs for sustainable urban logistics : introducing a method to define optimal locations [Paper].
In:
6th World Conference on Production and Operations Management (P&OM), online, 23-25 August 2022.
-
Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate,
2022.
Deep and interpretable regression models for ordinal outcomes.
Pattern Recognition.
122(108263).
Verfügbar unter: https://doi.org/10.48550/arXiv.2010.08376
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Schweiger, Lukas; Benedech, Rodolfo Andres; Meierhofer, Jürg,
2022.
Development approach for value-creating service process twins based on service design methods [Paper].
In:
IEEE DASC/PiCom/CBDCom/CyberSciTech 2022 Proceedings.
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy, 12-15 September 2022.
IEEE.
Verfügbar unter: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9928003
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Pezzotta, Giuditta; Arioli, Veronica; Adrodegari, Federico; Rapaccini, Mario; Saccani, Nicola; Rakic, Slavko; Marjanovic, Ugljesa; West, Shaun; Stoll, Oliver; Meierhofer, Jürg; Holst, Lennard; Wiesner, Stefan A.; Bertoni, Marco; Romero, David; Pirola, Fabiana; Sala, Roberto; Gaiardelli, Paolo,
2022.
Digital servitization in the manufacturing sector : survey preliminary results [Paper].
In:
Kim, Duck Young; Cieminski, Gregor von; Romero, David, Hrsg.,
Advances in Production Management Systems. Smart Manufacturing and Logistics Systems : Turning Ideas into Action : IFIP WG 5.7 International Conference, APMS 2022, Gyeongju, South Korea, September 25-29, 2022, Proceedings, Part II.
IFIP International Conference on Advances in Production Management Systems (APMS 2022), hybrid, 25-29 September 2022.
Cham:
Springer.
S. 310-320.
Verfügbar unter: https://doi.org/10.1007/978-3-031-16411-8_37
-
Kook, Lucas; Sick, Beate; Bühlmann, Peter,
2022.
Distributional anchor regression.
Statistics and Computing.
32(3), S. 39.
Verfügbar unter: https://doi.org/10.1007/s11222-022-10097-z
-
Baumann, Joachim; Hannák, Anikó; Heitz, Christoph,
2022.
Enforcing group fairness in algorithmic decision making : utility maximization under sufficiency [Paper].
In:
2022 ACM Conference on Fairness, Accountability, and Transparency.
FAccT '22 : 2022 ACM Conference on Fairness, Accountability, and Transparency, hybrid, 21-24 June 2022.
New York:
ACM.
S. 2315-2326.
Verfügbar unter: https://doi.org/10.1145/3531146.3534645
-
Larsson, Anders; Elldér, Erik; Vafeiadis, Evangelos; Curtis, Carey; Steiner, Albert,
2022.
Exploring the potential for sustainable accessibility across settlement types : a Swedish case.
Transportation Research Part D: Transport and Environment.
107(103297).
Verfügbar unter: https://doi.org/10.1016/j.trd.2022.103297
-
Baumann, Joachim; Heitz, Christoph,
2022.
Group fairness in prediction-based decision making : from moral assessment to implementation [Paper].
In:
Proceedings 2022 9th Swiss Conference on Data Science (SDS).
9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.
IEEE.
S. 19-25.
Verfügbar unter: https://doi.org/10.1109/SDS54800.2022.00011
-
Loi, Michele; Heitz, Christoph,
2022.
In:
2022 ACM Conference on Fairness, Accountability, and Transparency.
5th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Seoul, Republic of Korea, 21-24 June 2022.
Association for Computing Machinery.
S. 2026-2034.
Verfügbar unter: https://doi.org/10.1145/3531146.3533245
-
Erland, Sveinung; Bachmat, Eitan; Steiner, Albert,
2022.
European Journal of Operational Research.
Verfügbar unter: https://doi.org/10.1016/j.ejor.2022.12.027
-
Meierhofer, Jürg; Lindegger, Reto; Brunner, Roger,
2022.
Nutzen für BürgerInnen und Verwaltung durch einen Smart Service-orientierten Gestaltungsansatz
.
In:
Pleger, Lyn Ellen; Mertes, Alexander, Hrsg.,
Digitale Transformation der öffentlichen Verwaltung in der Schweiz : Stand, Entwicklungslinien und Praxisbeispiele.
Wiesbaden:
Springer.
S. 219-241.
Verfügbar unter: https://doi.org/10.1007/978-3-658-36591-2_10
-
Dobler, Martin; Meierhofer, Jürg; Frick, Klaus; Bentele, Marcus,
2022.
In:
Morel, Laure; Dupont, Laurent; Camargo, Mauricio, Hrsg.,
Conference Proceedings of 2022 IEEE 28th ICE/IMT & 31st IAMOT joint conference.
28th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association for Management of Technology (IAMOT) Joint Conference, Nancy, France, 19 - 23 June 2022.
IEEE.
S. 242-249.
Verfügbar unter: https://doi.org/10.1109/ICE/ITMC-IAMOT55089.2022.10033266
-
Meierhofer, Jürg; Benedech, Rodolfo Andres; Heitz, Christoph,
2022.
In:
Ceballos, Cristina, Hrsg.,
Proceedings : 2022 9th Swiss Conference on Data Science (SDS).
9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.
IEEE.
S. 33-39.
Verfügbar unter: https://doi.org/10.1109/SDS54800.2022.00013
-
Templ, Matthias; Kanjala, Chifundo; Siems, Inken,
2022.
JMIR Public Health and Surveillance.
8(9), S. e34472.
Verfügbar unter: https://doi.org/10.2196/34472
-
Ulmer, Markus; Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach,
2022.
Scaling-up deep learning based predictive maintenance for commercial machine fleets : a case study [Paper].
In:
2022 9th Swiss Conference on Data Science (SDS).
9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.
IEEE.
S. 40-46.
Verfügbar unter: https://doi.org/10.1109/SDS54800.2022.00014
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West, Shaun; Meierhofer, Jürg; Mangla, Utpal, Hrsg.,
2022.
Smart Services Summit : smart services supporting the new normal.
Fourth Smart Services Summit, Zurich, 22 October 2021.
Cham:
Springer.
Progress in IS.
ISBN 978-3-030-97041-3.
Verfügbar unter: https://doi.org/10.1007/978-3-030-97042-0
-
De Meer Pardo, Fernando; Schwendner, Peter; Wunsch, Marcus,
2022.
The Journal of Financial Data Science.
4(4), S. 110-132.
Verfügbar unter: https://doi.org/10.3905/jfds.2022.1.109
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Herterich, Matthias M.; Dremel, Christian; Wulf, Jochen; vom Brocke, Jan,
2022.
The emergence of smart service ecosystems : the role of socio‐technical antecedents and affordances.
Information Systems Journal.
33(3), S. 524-566.
Verfügbar unter: https://doi.org/10.1111/isj.12412
-
Koller, Thomas; Grabner, Helmut,
2022.
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