--- _id: '4448' article_type: original author: - first_name: Nadine full_name: Madeira Firmino, Nadine id: '250837' last_name: Madeira Firmino - first_name: Jürgen full_name: Bauknecht, Jürgen last_name: Bauknecht citation: alphadin: 'Madeira Firmino, Nadine ; Bauknecht, Jürgen: Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern. In: Pädagogischer Blick, Nr. 1' ama: Madeira Firmino N, Bauknecht J. Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern. Pädagogischer Blick. (1). apa: Madeira Firmino, N., & Bauknecht, J. (n.d.). Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern. Pädagogischer Blick, (1). bibtex: '@article{Madeira Firmino_Bauknecht, title={Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern.}, number={1}, journal={Pädagogischer Blick}, author={Madeira Firmino, Nadine and Bauknecht, Jürgen} }' chicago: Madeira Firmino, Nadine, and Jürgen Bauknecht. “Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern.” Pädagogischer Blick, no. 1 (n.d.). ieee: N. Madeira Firmino and J. Bauknecht, “Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern.,” Pädagogischer Blick, no. 1. mla: Madeira Firmino, Nadine, and Jürgen Bauknecht. “Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern.” Pädagogischer Blick, no. 1. short: N. Madeira Firmino, J. Bauknecht, Pädagogischer Blick (n.d.). date_created: 2024-03-28T15:18:40Z date_updated: 2024-03-28T15:18:44Z issue: '1' language: - iso: ger publication: Pädagogischer Blick publication_status: accepted quality_controlled: '1' status: public title: Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern. type: journal_article user_id: '250837' year: '2024' ... --- _id: '4444' author: - first_name: Fabian full_name: Erichsmeier, Fabian id: '218080' last_name: Erichsmeier - first_name: Maksim full_name: Kukushkin, Maksim last_name: Kukushkin - first_name: Johannes full_name: Fiedler, Johannes last_name: Fiedler - first_name: Matthias full_name: Enders, Matthias last_name: Enders - first_name: Simon full_name: Goertz, Simon last_name: Goertz - first_name: Martin full_name: Bogdan, Martin last_name: Bogdan - first_name: Thomas full_name: Schmid, Thomas last_name: Schmid - first_name: Reinhard full_name: Kaschuba, Reinhard last_name: Kaschuba citation: alphadin: 'Erichsmeier, Fabian ; Kukushkin, Maksim ; Fiedler, Johannes ; Enders, Matthias ; Goertz, Simon ; Bogdan, Martin ; Schmid, Thomas ; Kaschuba, Reinhard: Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In: Heinemann, D. ; Polder, G. (Hrsg.): Photonic Technologies in Plant and Agricultural Science : SPIE, 2024, S. 21' ama: 'Erichsmeier F, Kukushkin M, Fiedler J, et al. Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In: Heinemann D, Polder G, eds. Photonic Technologies in Plant and Agricultural Science. SPIE; 2024:21. doi:10.1117/12.3002665' apa: 'Erichsmeier, F., Kukushkin, M., Fiedler, J., Enders, M., Goertz, S., Bogdan, M., … Kaschuba, R. (2024). Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In D. Heinemann & G. Polder (Eds.), Photonic Technologies in Plant and Agricultural Science (p. 21). San Francisco, United States: SPIE. https://doi.org/10.1117/12.3002665' bibtex: '@inproceedings{Erichsmeier_Kukushkin_Fiedler_Enders_Goertz_Bogdan_Schmid_Kaschuba_2024, title={Automating the purity analysis of oilseed rape through usage of hyperspectral imaging}, DOI={10.1117/12.3002665}, booktitle={Photonic Technologies in Plant and Agricultural Science}, publisher={SPIE}, author={Erichsmeier, Fabian and Kukushkin, Maksim and Fiedler, Johannes and Enders, Matthias and Goertz, Simon and Bogdan, Martin and Schmid, Thomas and Kaschuba, Reinhard}, editor={Heinemann, Dag and Polder, GerritEditors}, year={2024}, pages={21} }' chicago: Erichsmeier, Fabian, Maksim Kukushkin, Johannes Fiedler, Matthias Enders, Simon Goertz, Martin Bogdan, Thomas Schmid, and Reinhard Kaschuba. “Automating the Purity Analysis of Oilseed Rape through Usage of Hyperspectral Imaging.” In Photonic Technologies in Plant and Agricultural Science, edited by Dag Heinemann and Gerrit Polder, 21. SPIE, 2024. https://doi.org/10.1117/12.3002665. ieee: F. Erichsmeier et al., “Automating the purity analysis of oilseed rape through usage of hyperspectral imaging,” in Photonic Technologies in Plant and Agricultural Science, San Francisco, United States, 2024, p. 21. mla: Erichsmeier, Fabian, et al. “Automating the Purity Analysis of Oilseed Rape through Usage of Hyperspectral Imaging.” Photonic Technologies in Plant and Agricultural Science, edited by Dag Heinemann and Gerrit Polder, SPIE, 2024, p. 21, doi:10.1117/12.3002665. short: 'F. Erichsmeier, M. Kukushkin, J. Fiedler, M. Enders, S. Goertz, M. Bogdan, T. Schmid, R. Kaschuba, in: D. Heinemann, G. Polder (Eds.), Photonic Technologies in Plant and Agricultural Science, SPIE, 2024, p. 21.' conference: location: San Francisco, United States name: SPIE LASE date_created: 2024-03-28T08:24:33Z date_updated: 2024-03-28T09:42:55Z doi: 10.1117/12.3002665 editor: - first_name: Dag full_name: Heinemann, Dag last_name: Heinemann - first_name: Gerrit full_name: Polder, Gerrit last_name: Polder language: - iso: eng page: '21' publication: Photonic Technologies in Plant and Agricultural Science publication_identifier: eisbn: - '9781510670198' isbn: - '9781510670181' publication_status: published publisher: SPIE status: public title: Automating the purity analysis of oilseed rape through usage of hyperspectral imaging type: conference user_id: '218080' year: '2024' ... --- _id: '4400' author: - first_name: Grit full_name: Behrens, Grit id: '207629' last_name: Behrens orcid: 0009-0009-0247-8204 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454423 - first_name: Niklas full_name: Theis, Niklas last_name: Theis - first_name: 'Andreas ' full_name: 'Boschert, Andreas ' last_name: Boschert - first_name: Mike full_name: Zehner, Mike last_name: Zehner citation: alphadin: 'Behrens, Grit ; Theis, Niklas ; Boschert, Andreas ; Zehner, Mike: Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In: Conexio-PSE GmbH (Hrsg.): Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland, 2024' ama: 'Behrens G, Theis N, Boschert A, Zehner M. Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In: Conexio-PSE GmbH, ed. Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland; 2024.' apa: Behrens, G., Theis, N., Boschert, A., & Zehner, M. (2024). Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland. bibtex: '@inproceedings{Behrens_Theis_Boschert_Zehner_2024, place={Pforzheim, Deutschland}, title={Wolkensegementierung und -matching mit Deep Learning in All Sky Images}, booktitle={Tagungsunterlagen 39. PV-Symposium}, author={Behrens, Grit and Theis, Niklas and Boschert, Andreas and Zehner, Mike}, editor={Conexio-PSE GmbHEditor}, year={2024} }' chicago: Behrens, Grit, Niklas Theis, Andreas Boschert, and Mike Zehner. “Wolkensegementierung und -matching mit Deep Learning in All Sky Images.” In Tagungsunterlagen 39. PV-Symposium, edited by Conexio-PSE GmbH. Pforzheim, Deutschland, 2024. ieee: G. Behrens, N. Theis, A. Boschert, and M. Zehner, “Wolkensegementierung und -matching mit Deep Learning in All Sky Images,” in Tagungsunterlagen 39. PV-Symposium, Kloster Banz, Bad Staffelstein, 2024. mla: Behrens, Grit, et al. “Wolkensegementierung und -matching mit Deep Learning in All Sky Images.” Tagungsunterlagen 39. PV-Symposium, edited by Conexio-PSE GmbH, 2024. short: 'G. Behrens, N. Theis, A. Boschert, M. Zehner, in: Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, Pforzheim, Deutschland, 2024.' conference: end_date: 2024-02-29 location: Kloster Banz, Bad Staffelstein name: 39. PV-Symposium start_date: 2024-02-27 corporate_editor: - Conexio-PSE GmbH date_created: 2024-03-18T18:54:49Z date_updated: 2024-03-28T09:01:16Z department: - _id: '102' language: - iso: ger place: Pforzheim, Deutschland publication: Tagungsunterlagen 39. PV-Symposium publication_identifier: isbn: - 978-3-948176-25-9 publication_status: published status: public title: Wolkensegementierung und -matching mit Deep Learning in All Sky Images type: conference user_id: '237837' year: '2024' ... --- _id: '4399' author: - first_name: Grit full_name: Behrens, Grit id: '207629' last_name: Behrens orcid: 0009-0009-0247-8204 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454420 - first_name: Dennis full_name: Hepp, Dennis last_name: Hepp - first_name: 'Sebastian ' full_name: 'Hempelmann, Sebastian ' last_name: Hempelmann - first_name: 'Werner ' full_name: 'Friedrich , Werner ' last_name: 'Friedrich ' citation: alphadin: 'Behrens, Grit ; Hepp, Dennis ; Hempelmann, Sebastian ; Friedrich , Werner : Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In: Conexio-PSE GmbH (Hrsg.): Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein. Pforzheim, Deutschland, 2024' ama: 'Behrens G, Hepp D, Hempelmann S, Friedrich W. Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In: Conexio-PSE GmbH, ed. Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein. Pforzheim, Deutschland; 2024.' apa: Behrens, G., Hepp, D., Hempelmann, S., & Friedrich , W. (2024). Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein. Pforzheim, Deutschland. bibtex: '@inproceedings{Behrens_Hepp_Hempelmann_Friedrich _2024, place={Pforzheim, Deutschland}, title={Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen}, booktitle={Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein}, author={Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian and Friedrich , Werner }, editor={Conexio-PSE GmbHEditor}, year={2024} }' chicago: Behrens, Grit, Dennis Hepp, Sebastian Hempelmann, and Werner Friedrich . “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen.” In Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, edited by Conexio-PSE GmbH. Pforzheim, Deutschland, 2024. ieee: G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich , “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen,” in Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, Kloster Banz, Bad Staffelstein, 2024. mla: Behrens, Grit, et al. “Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen.” Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, edited by Conexio-PSE GmbH, 2024. short: 'G. Behrens, D. Hepp, S. Hempelmann, W. Friedrich , in: Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein, Pforzheim, Deutschland, 2024.' conference: end_date: 2024-02-29 location: Kloster Banz, Bad Staffelstein name: Photovoltaisches Symposium start_date: 2024-02-27 corporate_editor: - Conexio-PSE GmbH date_created: 2024-03-18T18:50:23Z date_updated: 2024-03-28T09:01:10Z language: - iso: ger place: Pforzheim, Deutschland project: - _id: A82B586E-C7DA-11E9-B0AE-1F4CB252D58D name: Adaptive Ertragsprognose mit data-Mining im PV-Feld auf Grundlage iener digitalen Signatur der PV-Module und der Systemkomponenten (PV digital 4.0) publication: Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein publication_identifier: isbn: - 978-3-948176-25-9 publication_status: published status: public title: Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen type: conference user_id: '237837' year: '2024' ... --- _id: '4397' author: - first_name: Cezary full_name: Orlowski, Cezary last_name: Orlowski - first_name: Grit full_name: Behrens, Grit id: '207629' last_name: Behrens orcid: 0009-0009-0247-8204 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454416 - first_name: Kostas full_name: Karatzas, Kostas last_name: Karatzas citation: alphadin: 'Orlowski, Cezary ; Behrens, Grit ; Karatzas, Kostas: Commonalities and Differences in ML-Pipelines for Air Quality Systems. In: Wohlgemuth, V. ; Kranzlmüller, D. ; Höb, M. (Hrsg.): Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, Progress in IS. Cham : Springer Nature Switzerland, 2024, S. 21–37' ama: 'Orlowski C, Behrens G, Karatzas K. Commonalities and Differences in ML-Pipelines for Air Quality Systems. In: Wohlgemuth V, Kranzlmüller D, Höb M, eds. Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society. Progress in IS. Cham: Springer Nature Switzerland; 2024:21-37. doi:10.1007/978-3-031-46902-2_2' apa: 'Orlowski, C., Behrens, G., & Karatzas, K. (2024). Commonalities and Differences in ML-Pipelines for Air Quality Systems. In V. Wohlgemuth, D. Kranzlmüller, & M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society (pp. 21–37). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-46902-2_2' bibtex: '@inbook{Orlowski_Behrens_Karatzas_2024, place={Cham}, series={Progress in IS}, title={Commonalities and Differences in ML-Pipelines for Air Quality Systems}, DOI={10.1007/978-3-031-46902-2_2}, booktitle={Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society}, publisher={Springer Nature Switzerland}, author={Orlowski, Cezary and Behrens, Grit and Karatzas, Kostas}, editor={Wohlgemuth, Volker and Kranzlmüller, Dieter and Höb, MaximilianEditors}, year={2024}, pages={21–37}, collection={Progress in IS} }' chicago: 'Orlowski, Cezary, Grit Behrens, and Kostas Karatzas. “Commonalities and Differences in ML-Pipelines for Air Quality Systems.” In Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, edited by Volker Wohlgemuth, Dieter Kranzlmüller, and Maximilian Höb, 21–37. Progress in IS. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-46902-2_2.' ieee: 'C. Orlowski, G. Behrens, and K. Karatzas, “Commonalities and Differences in ML-Pipelines for Air Quality Systems,” in Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, V. Wohlgemuth, D. Kranzlmüller, and M. Höb, Eds. Cham: Springer Nature Switzerland, 2024, pp. 21–37.' mla: Orlowski, Cezary, et al. “Commonalities and Differences in ML-Pipelines for Air Quality Systems.” Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, edited by Volker Wohlgemuth et al., Springer Nature Switzerland, 2024, pp. 21–37, doi:10.1007/978-3-031-46902-2_2. short: 'C. Orlowski, G. Behrens, K. Karatzas, in: V. Wohlgemuth, D. Kranzlmüller, M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society, Springer Nature Switzerland, Cham, 2024, pp. 21–37.' date_created: 2024-03-18T17:55:57Z date_updated: 2024-03-28T09:01:05Z doi: 10.1007/978-3-031-46902-2_2 editor: - first_name: Volker full_name: Wohlgemuth, Volker last_name: Wohlgemuth - first_name: Dieter full_name: Kranzlmüller, Dieter last_name: Kranzlmüller - first_name: Maximilian full_name: Höb, Maximilian last_name: Höb language: - iso: eng page: 21-37 place: Cham publication: Advances and New Trends in Environmental Informatics 2023. Sustainable Digital Society publication_identifier: eisbn: - 978-3-031-46902-2 eissn: - 2196-8713 isbn: - 978-3-031-46901-5 issn: - 2196-8705 publication_status: published publisher: Springer Nature Switzerland quality_controlled: '1' series_title: Progress in IS status: public title: Commonalities and Differences in ML-Pipelines for Air Quality Systems type: book_chapter user_id: '237837' year: '2024' ... --- _id: '4395' author: - first_name: Grit full_name: Behrens, Grit id: '207629' last_name: Behrens orcid: 0009-0009-0247-8204 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/156454414 - first_name: 'Kostans ' full_name: 'Karaztas, Kostans ' last_name: Karaztas - first_name: 'Cezary ' full_name: 'Orlowski, Cezary ' last_name: Orlowski citation: alphadin: 'Behrens, Grit ; Karaztas, Kostans ; Orlowski, Cezary : Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. In: Bui, T. X. ; ScholarSpace (Hrsg.): 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, dblp computer science bibliography, 2024, S. 288–297' ama: 'Behrens G, Karaztas K, Orlowski C. Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. In: Bui TX, ScholarSpace, eds. 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024. dblp computer science bibliography. ; 2024:288-297. doi:10125/106409' apa: Behrens, G., Karaztas, K., & Orlowski, C. (2024). Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships. In T. X. Bui & ScholarSpace (Eds.), 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024 (pp. 288–297). Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA. https://doi.org/10125/106409 bibtex: '@inproceedings{Behrens_Karaztas_Orlowski_2024, series={dblp computer science bibliography}, title={Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships}, DOI={10125/106409}, booktitle={57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024}, author={Behrens, Grit and Karaztas, Kostans and Orlowski, Cezary }, editor={Bui, Tung X. and ScholarSpaceEditors}, year={2024}, pages={288–297}, collection={dblp computer science bibliography} }' chicago: Behrens, Grit, Kostans Karaztas, and Cezary Orlowski. “Business Intelligence Fog IoT Node Development Model for Big Data Processing of Air Quality in Scientific Partnerships.” In 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, edited by Tung X. Bui and ScholarSpace, 288–97. Dblp Computer Science Bibliography, 2024. https://doi.org/10125/106409. ieee: G. Behrens, K. Karaztas, and C. Orlowski, “Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships,” in 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, 2024, pp. 288–297. mla: Behrens, Grit, et al. “Business Intelligence Fog IoT Node Development Model for Big Data Processing of Air Quality in Scientific Partnerships.” 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, edited by Tung X. Bui and ScholarSpace, 2024, pp. 288–97, doi:10125/106409. short: 'G. Behrens, K. Karaztas, C. Orlowski, in: T.X. Bui, ScholarSpace (Eds.), 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024, 2024, pp. 288–297.' conference: end_date: 2024-01-06 location: Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA name: 57th Hawaii International Conference on System Sciences start_date: 2024-01-03 corporate_editor: - ScholarSpace date_created: 2024-03-18T17:25:30Z date_updated: 2024-03-28T09:00:54Z department: - _id: '102' doi: 10125/106409 editor: - first_name: 'Tung X. ' full_name: 'Bui, Tung X. ' last_name: Bui language: - iso: eng page: 288-297 project: - _id: f432a2ee-bceb-11ed-a251-a83585c5074d name: Institute for Data Science Solutions publication: 57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024 publication_identifier: isbn: - 978-0-9981331-7-1 publication_status: published series_title: dblp computer science bibliography status: public title: Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships type: conference user_id: '237837' year: '2024' ... --- _id: '4392' abstract: - lang: eng text: 'Current solutions for holistic and real-time planning of dynamic manufacturing processes are reaching their limits. This is particularly applicable to complex sociotechnical production environments with flexible material flows as well as undetermined events and fluctuations. Methods of optimization under uncertainty are very computationally intensive and crucial interactions with the real world are insufficiently considered. This lack of field synchronicity reduces the quality of production schedules, leads to manual efforts firefighting), and has a negative impact on the logistical performance. The present work is based on four journal articles that demonstrate novel methods and models for improving field-synchronous scheduling. Through the combination of instruments from operations research and machine learning, generic and predictive algorithms are developed to improve the efficiency and effectiveness of planning procedures. The findings suggest that regression models can replace computation-heavy stochastic simulations in obtaining robustness metrics. Additionally, using reinforcement learning, uncertainty-robust and realistic production schedules for human-centered manufacturing can be generated in a short time. For this purpose, discrete simulation models are used, which are data-driven initialized based on a general control logic. The algorithms can be integrated into a virtual factory, which serves as a digital representation of the real world and is the basis for smart and field-synchronous scheduling systems. In this context, a prototype distributed system for the planning of dynamic manufacturing processes can be presented, which is being tested by industry research partners and further developed in collaboration. Beyond the publications, further research needs can be derived. In order to ensure the transferability of the methods, they need to be evaluated in the context of additional and more comprehensive environments. From a scientific and practical perspective, it is a crucial challenge to develop holistic and proactive scheduling systems that orchestrate a comprehensive set of data-driven analysis and decision-making processes. In this regard, the presented methods and models need to be further developed and integrated into a generic overall concept. The work identifies four focus areas that future research should address in an interdisciplinary manner: (1) Generic simulation models, (2) Human-centered optimization, (3) Field-synchronous scheduling, and (4) System development and rollout.' author: - first_name: Felix full_name: Grumbach, Felix id: '243801' last_name: Grumbach orcid: 0000-0001-6348-7897 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-6348-7897/work/156390666 citation: alphadin: 'Grumbach, Felix: Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024' ama: 'Grumbach F. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt; 2024. doi:10.25673/115290' apa: 'Grumbach, F. (2024). Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt. https://doi.org/10.25673/115290' bibtex: '@book{Grumbach_2024, place={Bernburg}, title={Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]}, DOI={10.25673/115290}, publisher={Universitäts- und Landesbibliothek Sachsen-Anhalt}, author={Grumbach, Felix}, year={2024} }' chicago: 'Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. https://doi.org/10.25673/115290.' ieee: 'F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024.' mla: Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024, doi:10.25673/115290. short: F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und Landesbibliothek Sachsen-Anhalt, Bernburg, 2024. date_created: 2024-03-14T11:32:15Z date_updated: 2024-03-27T14:10:49Z doi: 10.25673/115290 file: - access_level: open_access content_type: application/pdf creator: fgrumbach1 date_created: 2024-03-14T11:32:13Z date_updated: 2024-03-14T11:32:13Z file_id: '4393' file_name: Diss_FGrumbach_2024_Final.pdf file_size: 7859995 relation: main_file success: 1 file_date_updated: 2024-03-14T11:32:13Z has_accepted_license: '1' keyword: - Produktionsplanung und -steuerung - Operations Research - Machine Learning - Reinforcement Learning language: - iso: ger main_file_link: - open_access: '1' url: http://dx.doi.org/10.25673/115290 oa: '1' place: Bernburg publication_identifier: eisbn: - 978-3-96057-174-2 publication_status: published publisher: Universitäts- und Landesbibliothek Sachsen-Anhalt status: public supervisor: - first_name: Sebastian full_name: Trojahn, Sebastian last_name: Trojahn title: Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation] tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: dissertation urn: urn:nbn:de:hbz:bi10-43927 user_id: '237837' year: '2024' ... --- _id: '4434' author: - first_name: Michael full_name: Eisfeld, Michael id: '231110' last_name: Eisfeld citation: alphadin: 'Eisfeld, Michael: BIM - Einstieg kompakt für Tragwerksplaner : Beuth' ama: Eisfeld M. BIM - Einstieg kompakt für Tragwerksplaner. Beuth apa: Eisfeld, M. (n.d.). BIM - Einstieg kompakt für Tragwerksplaner. Beuth. bibtex: '@book{Eisfeld, title={BIM - Einstieg kompakt für Tragwerksplaner}, publisher={Beuth}, author={Eisfeld, Michael} }' chicago: Eisfeld, Michael. BIM - Einstieg kompakt für Tragwerksplaner. Beuth, n.d. ieee: M. Eisfeld, BIM - Einstieg kompakt für Tragwerksplaner. Beuth. mla: Eisfeld, Michael. BIM - Einstieg kompakt für Tragwerksplaner. Beuth. short: M. Eisfeld, BIM - Einstieg kompakt für Tragwerksplaner, Beuth, n.d. date_created: 2024-03-27T09:42:53Z date_updated: 2024-03-27T10:34:32Z language: - iso: ger publication_status: submitted publisher: Beuth status: public title: BIM - Einstieg kompakt für Tragwerksplaner type: book user_id: '231110' year: '2024' ... --- _id: '4403' author: - first_name: K. full_name: Hamilton, K. last_name: Hamilton - first_name: D. J. full_name: Phipps, D. J. last_name: Phipps - first_name: P. full_name: Schmidt, P. last_name: Schmidt - first_name: Sebastian full_name: Bamberg, Sebastian id: '202383' last_name: Bamberg orcid: 0000-0003-1541-9616 - first_name: I. full_name: Ajzen, I. last_name: Ajzen citation: alphadin: 'Hamilton, K. ; Phipps, D. J. ; Schmidt, P. ; Bamberg, Sebastian ; Ajzen, I.: First test of the theory of reasoned goal pursuit: predicting physical activity. In: Psychology & Health Bd. 39, Informa UK Limited (2024), Nr. 1, S. 24–41' ama: 'Hamilton K, Phipps DJ, Schmidt P, Bamberg S, Ajzen I. First test of the theory of reasoned goal pursuit: predicting physical activity. Psychology & Health. 2024;39(1):24-41. doi:10.1080/08870446.2022.2026946' apa: 'Hamilton, K., Phipps, D. J., Schmidt, P., Bamberg, S., & Ajzen, I. (2024). First test of the theory of reasoned goal pursuit: predicting physical activity. Psychology & Health, 39(1), 24–41. https://doi.org/10.1080/08870446.2022.2026946' bibtex: '@article{Hamilton_Phipps_Schmidt_Bamberg_Ajzen_2024, title={First test of the theory of reasoned goal pursuit: predicting physical activity}, volume={39}, DOI={10.1080/08870446.2022.2026946}, number={1}, journal={Psychology & Health}, publisher={Informa UK Limited}, author={Hamilton, K. and Phipps, D. J. and Schmidt, P. and Bamberg, Sebastian and Ajzen, I.}, year={2024}, pages={24–41} }' chicago: 'Hamilton, K., D. J. Phipps, P. Schmidt, Sebastian Bamberg, and I. Ajzen. “First Test of the Theory of Reasoned Goal Pursuit: Predicting Physical Activity.” Psychology & Health 39, no. 1 (2024): 24–41. https://doi.org/10.1080/08870446.2022.2026946.' ieee: 'K. Hamilton, D. J. Phipps, P. Schmidt, S. Bamberg, and I. Ajzen, “First test of the theory of reasoned goal pursuit: predicting physical activity,” Psychology & Health, vol. 39, no. 1, pp. 24–41, 2024.' mla: 'Hamilton, K., et al. “First Test of the Theory of Reasoned Goal Pursuit: Predicting Physical Activity.” Psychology & Health, vol. 39, no. 1, Informa UK Limited, 2024, pp. 24–41, doi:10.1080/08870446.2022.2026946.' short: K. Hamilton, D.J. Phipps, P. Schmidt, S. Bamberg, I. Ajzen, Psychology & Health 39 (2024) 24–41. date_created: 2024-03-21T17:55:11Z date_updated: 2024-03-23T11:58:00Z doi: 10.1080/08870446.2022.2026946 intvolume: ' 39' issue: '1' language: - iso: eng page: 24-41 publication: Psychology & Health publication_identifier: eissn: - 1476-8321 issn: - 0887-0446 publication_status: published publisher: Informa UK Limited status: public title: 'First test of the theory of reasoned goal pursuit: predicting physical activity' type: journal_article user_id: '220548' volume: 39 year: '2024' ... --- _id: '4391' author: - first_name: Fabian full_name: Karau, Fabian id: '224537' last_name: Karau orcid: 0009-0007-8379-7623 - first_name: Michael full_name: Leuer, Michael id: '230164' last_name: Leuer citation: alphadin: 'Karau, Fabian ; Leuer, Michael: Recheneffiziente Implementierung einer approximierten modellprädiktiven Regelung auf einem Industrie-PC. In: Fit für die Zukunft: Praktische Lösungen für die industrielle Automation : Hochschule für Technik, Wirtschaft und Kultur Leipzig, 2024' ama: 'Karau F, Leuer M. Recheneffiziente Implementierung einer approximierten modellprädiktiven Regelung auf einem Industrie-PC. In: Fit Für Die Zukunft: Praktische Lösungen Für Die Industrielle Automation. Hochschule für Technik, Wirtschaft und Kultur Leipzig; 2024. doi:10.33968/2024.32' apa: 'Karau, F., & Leuer, M. (2024). Recheneffiziente Implementierung einer approximierten modellprädiktiven Regelung auf einem Industrie-PC. In Fit für die Zukunft: Praktische Lösungen für die industrielle Automation. Bielefeld: Hochschule für Technik, Wirtschaft und Kultur Leipzig. https://doi.org/10.33968/2024.32' bibtex: '@inproceedings{Karau_Leuer_2024, title={Recheneffiziente Implementierung einer approximierten modellprädiktiven Regelung auf einem Industrie-PC}, DOI={10.33968/2024.32}, booktitle={Fit für die Zukunft: Praktische Lösungen für die industrielle Automation}, publisher={Hochschule für Technik, Wirtschaft und Kultur Leipzig}, author={Karau, Fabian and Leuer, Michael}, year={2024} }' chicago: 'Karau, Fabian, and Michael Leuer. “Recheneffiziente Implementierung Einer Approximierten Modellprädiktiven Regelung Auf Einem Industrie-PC.” In Fit Für Die Zukunft: Praktische Lösungen Für Die Industrielle Automation. Hochschule für Technik, Wirtschaft und Kultur Leipzig, 2024. https://doi.org/10.33968/2024.32.' ieee: 'F. Karau and M. Leuer, “Recheneffiziente Implementierung einer approximierten modellprädiktiven Regelung auf einem Industrie-PC,” in Fit für die Zukunft: Praktische Lösungen für die industrielle Automation, Bielefeld, 2024.' mla: 'Karau, Fabian, and Michael Leuer. “Recheneffiziente Implementierung Einer Approximierten Modellprädiktiven Regelung Auf Einem Industrie-PC.” Fit Für Die Zukunft: Praktische Lösungen Für Die Industrielle Automation, Hochschule für Technik, Wirtschaft und Kultur Leipzig, 2024, doi:10.33968/2024.32.' short: 'F. Karau, M. Leuer, in: Fit Für Die Zukunft: Praktische Lösungen Für Die Industrielle Automation, Hochschule für Technik, Wirtschaft und Kultur Leipzig, 2024.' conference: end_date: 2024-03-08 location: Bielefeld name: Angewandte Automatisierung in Lehre und Entwicklung 2024 start_date: 2024-03-06 date_created: 2024-03-14T06:58:36Z date_updated: 2024-03-15T05:54:35Z department: - _id: '103' doi: 10.33968/2024.32 language: - iso: eng main_file_link: - open_access: '1' oa: '1' publication: 'Fit für die Zukunft: Praktische Lösungen für die industrielle Automation' publication_identifier: isbn: - '9783910103023' publication_status: published publisher: Hochschule für Technik, Wirtschaft und Kultur Leipzig quality_controlled: '1' status: public title: Recheneffiziente Implementierung einer approximierten modellprädiktiven Regelung auf einem Industrie-PC type: conference user_id: '220548' year: '2024' ...