[{"editor":[{"first_name":"Fabian","last_name":"Behrendt","full_name":"Behrendt, Fabian"},{"full_name":"Zadek, Hartmut","last_name":"Zadek","first_name":"Hartmut"},{"first_name":"Jettarat","last_name":"Janmontree","full_name":"Janmontree, Jettarat"},{"full_name":"Trojahn, Sebastian","last_name":"Trojahn","first_name":"Sebastian"},{"first_name":"Sebastian","last_name":"Lang","full_name":"Lang, Sebastian"}],"citation":{"bibtex":"@inproceedings{Döring_Trojahn_Reusch_2026, title={Smart data adapter: A hybrid pattern-LLM approach}, DOI={<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>}, booktitle={19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management}, publisher={Otto von Guericke University Library, Magdeburg, Germany}, author={Döring, Lina and Trojahn, Sebastian and Reusch, Pascal}, editor={Behrendt, Fabian and Zadek, Hartmut and Janmontree, Jettarat and Trojahn, Sebastian and Lang, SebastianEditors}, year={2026} }","mla":"Döring, Lina, et al. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, edited by Fabian Behrendt et al., Otto von Guericke University Library, Magdeburg, Germany, 2026, doi:<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Döring, Lina</span> ; <span style=\"font-variant:small-caps;\">Trojahn, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Reusch, Pascal</span>: Smart data adapter: A hybrid pattern-LLM approach. In: <span style=\"font-variant:small-caps;\">Behrendt, F.</span> ; <span style=\"font-variant:small-caps;\">Zadek, H.</span> ; <span style=\"font-variant:small-caps;\">Janmontree, J.</span> ; <span style=\"font-variant:small-caps;\">Trojahn, S.</span> ; <span style=\"font-variant:small-caps;\">Lang, S.</span> (Hrsg.): <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i> : Otto von Guericke University Library, Magdeburg, Germany, 2026","short":"L. Döring, S. Trojahn, P. Reusch, in: F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2026.","ama":"Döring L, Trojahn S, Reusch P. Smart data adapter: A hybrid pattern-LLM approach. In: Behrendt F, Zadek H, Janmontree J, Trojahn S, Lang S, eds. <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Otto von Guericke University Library, Magdeburg, Germany; 2026. doi:<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>","chicago":"Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” In <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, edited by Fabian Behrendt, Hartmut Zadek, Jettarat Janmontree, Sebastian Trojahn, and Sebastian Lang. Otto von Guericke University Library, Magdeburg, Germany, 2026. <a href=\"https://doi.org/10.25673/123544\">https://doi.org/10.25673/123544</a>.","ieee":"L. Döring, S. Trojahn, and P. Reusch, “Smart data adapter: A hybrid pattern-LLM approach,” in <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, Magdeburg, 2026.","apa":"Döring, L., Trojahn, S., &#38; Reusch, P. (2026). Smart data adapter: A hybrid pattern-LLM approach. In F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, &#38; S. Lang (Eds.), <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. <a href=\"https://doi.org/10.25673/123544\">https://doi.org/10.25673/123544</a>"},"abstract":[{"lang":"eng","text":"Adopting digital twin technologies in small andmedium-sized enterprises (SMEs) is often hinderedby heterogeneous, poorly documented productiondata. Current semantic type detection approachesrequire massive labeled datasets making themimpractical for resource-constrained SMEs. Wepropose a zero-shot hybrid framework combiningpattern-based classification with selective largelanguage model (LLM) reasoning formanufacturing-specific data types. The two-stagearchitecture uses rule-based patterns for high-confidence cases, forwarding ambiguous columnsto a multi-step LLM reasoner. Evaluation on fourmanufacturing datasets shows the hybrid approachachieves weighted F1 within 7 24 percentagepoints of pure LLM classification performancewhile reducing LLM invocations by 39% onaverage. Processing time decreased by up to 2.8×.Our framework addresses a critical gap: automated,computationally efficient data type recognition formanufacturing SMEs without requiring trainingdata, contributing to automated simulation anddigital twin construction."}],"conference":{"end_date":"2026-06-16","start_date":"2026-06-15","location":"Magdeburg","name":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management"},"doi":"10.25673/123544","main_file_link":[{"url":"https://opendata.uni-halle.de/bitstream/1981185920/125478/1/DW16_Smart%20Data%20Adapter%20A%20Hybrid%20Pattern-LLM%20Approach.pdf"}],"type":"conference","publication":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management","date_created":"2026-07-16T18:51:32Z","user_id":"220548","department":[{"_id":"103"}],"author":[{"orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0000-3555-4183/work/221016189","first_name":"Lina","id":"231689","orcid":"0009-0000-3555-4183","full_name":"Döring, Lina","last_name":"Döring"},{"first_name":"Sebastian","full_name":"Trojahn, Sebastian","last_name":"Trojahn"},{"last_name":"Reusch","full_name":"Reusch, Pascal","id":"223271","first_name":"Pascal"}],"quality_controlled":"1","date_updated":"2026-07-20T08:11:01Z","status":"public","keyword":["Semantic Data Type Detection","DigitalTwin","Manufacturing SMEs","Zero-shot Learning","Hybrid AI","LLM"],"language":[{"iso":"eng"}],"year":"2026","_id":"7068","title":"Smart data adapter: A hybrid pattern-LLM approach","publisher":"Otto von Guericke University Library, Magdeburg, Germany","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"publication_status":"published"},{"issue":"3","citation":{"apa":"Prell, J., &#38; Schmidtmann, A. (2026). Adaptive Service Level Agreements. <i>ERP Management</i>, <i>22</i>(3), 28–33.","ieee":"J. Prell and A. Schmidtmann, “Adaptive Service Level Agreements,” <i>ERP Management</i>, vol. 22, no. 3, pp. 28–33, 2026.","ama":"Prell J, Schmidtmann A. Adaptive Service Level Agreements. <i>ERP Management</i>. 2026;22(3):28-33.","chicago":"Prell, Jonas, and Achim Schmidtmann. “Adaptive Service Level Agreements.” <i>ERP Management</i> 22, no. 3 (2026): 28–33.","mla":"Prell, Jonas, and Achim Schmidtmann. “Adaptive Service Level Agreements.” <i>ERP Management</i>, vol. 22, no. 3, GITO Verlag, 2026, pp. 28–33.","bibtex":"@article{Prell_Schmidtmann_2026, title={Adaptive Service Level Agreements}, volume={22}, number={3}, journal={ERP Management}, publisher={GITO Verlag}, author={Prell, Jonas and Schmidtmann, Achim}, year={2026}, pages={28–33} }","alphadin":"<span style=\"font-variant:small-caps;\">Prell, Jonas</span> ; <span style=\"font-variant:small-caps;\">Schmidtmann, Achim</span>: Adaptive Service Level Agreements. In: <i>ERP Management</i> Bd. 22, GITO Verlag (2026), Nr. 3, S. 28–33","short":"J. Prell, A. Schmidtmann, ERP Management 22 (2026) 28–33."},"publication_identifier":{"issn":["1860-6725"]},"type":"journal_article","volume":22,"date_created":"2026-07-01T09:50:40Z","publication":"ERP Management","user_id":"220548","department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"page":"28-33","author":[{"id":"244719","first_name":"Jonas","last_name":"Prell","full_name":"Prell, Jonas"},{"full_name":"Schmidtmann, Achim","orcid":"0009-0006-7805-1512","last_name":"Schmidtmann","first_name":"Achim","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0006-7805-1512/work/219316813","id":"232783"}],"date_updated":"2026-07-01T11:45:29Z","status":"public","keyword":["ERP-Management","Adaptives SLA","IT-Governance","IT-Outsourcing","Innovationsmanagement"],"language":[{"iso":"ger"}],"alternative_title":["Wie flexible Verträge Innovation ermöglichen und welche Risiken sie bergen"],"year":"2026","_id":"7034","title":"Adaptive Service Level Agreements","publisher":"GITO Verlag","article_type":"original","publication_status":"published","intvolume":"        22"},{"doi":"10.57720/6827","citation":{"chicago":"Makowsky, Katja, and Yağmur  Sezer Efe. <i>UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY</i>, 2026. <a href=\"https://doi.org/10.57720/6827\">https://doi.org/10.57720/6827</a>.","ama":"Makowsky K, Sezer Efe Y. <i>UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY</i>.; 2026. doi:<a href=\"https://doi.org/10.57720/6827\">10.57720/6827</a>","short":"K. Makowsky, Y. Sezer Efe, UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY, 2026.","alphadin":"<span style=\"font-variant:small-caps;\">Makowsky, Katja</span> ; <span style=\"font-variant:small-caps;\">Sezer Efe, Yağmur </span>: <i>UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY</i>, 2026","mla":"Makowsky, Katja, and Yağmur Sezer Efe. <i>UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY</i>. 2026, doi:<a href=\"https://doi.org/10.57720/6827\">10.57720/6827</a>.","bibtex":"@book{Makowsky_Sezer Efe_2026, title={UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY}, DOI={<a href=\"https://doi.org/10.57720/6827\">10.57720/6827</a>}, author={Makowsky, Katja and Sezer Efe, Yağmur }, year={2026} }","apa":"Makowsky, K., &#38; Sezer Efe, Y. (2026). <i>UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY</i>. <a href=\"https://doi.org/10.57720/6827\">https://doi.org/10.57720/6827</a>","ieee":"K. Makowsky and Y. Sezer Efe, <i>UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY</i>. 2026."},"abstract":[{"lang":"eng","text":"Introduction: Migration is a complicated social phenomenon that has a big impact on people's access to and use of health care, especially for vulnerable groups like women and children. The study was carried out to determine the factors affecting the potential use of health services and their usage by female Turkish migrants and their children living in Bielefeld, Germany.\r\nMethods: The study adopted a qualitative design, and in-depth individual interview interviews were used to collect data. Interviews were conducted with 20 female Turkish migrants who have children with food allergies between November-December 2023. The data were analyzed using the content analysis method. \r\nResults: The ages of the female Turkish migrants participating in the study ranged from 31 to 48. A total of 4 themes were determined from the codes: 1) Perceptions on health services, 2) Perceptions of health care service in Germany compared to the country of origin, 3) Healthcare utilization and comparative perceptions of health systems, and 4) Factors that facilitate access to health services and increase satisfaction and suggestions for improvement. \r\nDiscussion: Mothers have both positive and negative experiences with the German healthcare system, their perceptions of the German healthcare system are influenced by their experiences in their home country, there are factors that increase their satisfaction, they encounter individual and systemic barriers in healthcare service utilization, and they made some suggestions for overcoming these barriers.\r\n"}],"oa":"1","department":[{"_id":"105"}],"has_accepted_license":"1","author":[{"first_name":"Katja","id":"208630","full_name":"Makowsky, Katja","last_name":"Makowsky"},{"last_name":"Sezer Efe","full_name":"Sezer Efe, Yağmur ","first_name":"Yağmur "}],"date_updated":"2026-04-20T10:12:25Z","file_date_updated":"2026-04-15T14:40:25Z","type":"working_paper","main_file_link":[{"open_access":"1"}],"date_created":"2026-04-15T14:43:46Z","user_id":"263827","language":[{"iso":"eng"}],"status":"public","urn":"urn:nbn:de:hbz:bi10-68270","keyword":["German healthcare system","factors affecting the potential use of health services","female Turkish migrants","their children"],"file":[{"date_updated":"2026-04-15T14:38:56Z","success":1,"date_created":"2026-04-15T14:38:56Z","relation":"main_file","file_name":"Manuscript 24.03.2026.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_size":44155,"creator":"kmakowsky","access_level":"open_access","file_id":"6828"},{"file_name":"Tables.docx","relation":"main_file","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_size":25642,"creator":"kmakowsky","access_level":"open_access","file_id":"6829","date_updated":"2026-04-15T14:39:25Z","success":1,"date_created":"2026-04-15T14:39:25Z"},{"date_created":"2026-04-15T14:40:25Z","date_updated":"2026-04-15T14:40:25Z","success":1,"creator":"kmakowsky","access_level":"open_access","file_id":"6830","relation":"main_file","file_name":"Title pageKM.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_size":15134}],"title":"UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY","_id":"6827","year":"2026"},{"publication":"Big Data and Cognitive Computing","date_created":"2025-10-17T07:19:59Z","volume":9,"file_date_updated":"2025-10-17T07:11:25Z","quality_controlled":"1","author":[{"id":"232004","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0008-8581-2708/work/194508828","first_name":"Marvin","last_name":"Niederhaus","orcid":"0009-0008-8581-2708","full_name":"Niederhaus, Marvin"},{"last_name":"Migenda","orcid":"0000-0002-7223-1735","full_name":"Migenda, Nico","id":"218473","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-7223-1735/work/194483982","first_name":"Nico"},{"last_name":"Weller","full_name":"Weller, Julian","first_name":"Julian"},{"last_name":"Kohlhase","full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","id":"226669","first_name":"Martin","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/194483983"},{"last_name":"Schenck","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048","id":"224375","first_name":"Wolfram","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/194483984"}],"department":[{"_id":"103"}],"article_number":"261","publication_identifier":{"eissn":["2504-2289"]},"project":[{"name":"Institut für Systemdynamik und Mechatronik","_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b"},{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"article_type":"original","_id":"6244","title":"Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems","funded_apc":"1","publication_status":"published","keyword":["prescriptive analytics","prescriptive platforms","advanced data analytics","retrieval-augmented generation","graph-based retrieval-augmented generation","large language models","generative AI","genAI","recommender system"],"urn":"urn:nbn:de:hbz:bi10-62444","user_id":"226669","type":"journal_article","main_file_link":[{"url":"https://www.mdpi.com/2504-2289/9/10/261/pdf","open_access":"1"}],"date_updated":"2026-06-01T15:15:50Z","has_accepted_license":"1","oa":"1","citation":{"apa":"Niederhaus, M., Migenda, N., Weller, J., Kohlhase, M., &#38; Schenck, W. (2025). Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. <i>Big Data and Cognitive Computing</i>, <i>9</i>(10). <a href=\"https://doi.org/10.3390/bdcc9100261\">https://doi.org/10.3390/bdcc9100261</a>","ieee":"M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, and W. Schenck, “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems,” <i>Big Data and Cognitive Computing</i>, vol. 9, no. 10, 2025.","ama":"Niederhaus M, Migenda N, Weller J, Kohlhase M, Schenck W. Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. <i>Big Data and Cognitive Computing</i>. 2025;9(10). doi:<a href=\"https://doi.org/10.3390/bdcc9100261\">10.3390/bdcc9100261</a>","chicago":"Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” <i>Big Data and Cognitive Computing</i> 9, no. 10 (2025). <a href=\"https://doi.org/10.3390/bdcc9100261\">https://doi.org/10.3390/bdcc9100261</a>.","mla":"Niederhaus, Marvin, et al. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” <i>Big Data and Cognitive Computing</i>, vol. 9, no. 10, 261, MDPI AG, 2025, doi:<a href=\"https://doi.org/10.3390/bdcc9100261\">10.3390/bdcc9100261</a>.","bibtex":"@article{Niederhaus_Migenda_Weller_Kohlhase_Schenck_2025, title={Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems}, volume={9}, DOI={<a href=\"https://doi.org/10.3390/bdcc9100261\">10.3390/bdcc9100261</a>}, number={10261}, journal={Big Data and Cognitive Computing}, publisher={MDPI AG}, author={Niederhaus, Marvin and Migenda, Nico and Weller, Julian and Kohlhase, Martin and Schenck, Wolfram}, year={2025} }","alphadin":"<span style=\"font-variant:small-caps;\">Niederhaus, Marvin</span> ; <span style=\"font-variant:small-caps;\">Migenda, Nico</span> ; <span style=\"font-variant:small-caps;\">Weller, Julian</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. In: <i>Big Data and Cognitive Computing</i> Bd. 9, MDPI AG (2025), Nr. 10","short":"M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, W. Schenck, Big Data and Cognitive Computing 9 (2025)."},"issue":"10","doi":"10.3390/bdcc9100261","year":"2025","publisher":"MDPI AG","intvolume":"         9","file":[{"content_type":"application/pdf","file_size":13995224,"relation":"main_file","file_name":"BDCC-09-00261.pdf","access_level":"open_access","file_id":"6245","creator":"mniederhaus","success":1,"date_updated":"2025-10-17T07:11:25Z","date_created":"2025-10-17T07:11:25Z"}],"status":"public","language":[{"iso":"eng"}]},{"urn":"urn:nbn:de:hbz:bi10-62353","keyword":["Machine Learning","Computer Vision","Instance Segmentation","CNNs","YOLACT","Data Augmentation","Waste Classification","Trash Detection","Biowaste Analysis"],"publication_status":"epub_ahead","tmp":{"name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","image":"/images/cc_by_sa.png","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","short":"CC BY-SA (4.0)"},"project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"_id":"6235","title":"Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES","conference":{"name":"INFORMATIKFESTIVAL 2025","start_date":"2025-09-16","location":"Potsdam","end_date":"2025-09-19"},"publication_identifier":{"unknown":["2944-7682"]},"author":[{"first_name":"Marius","id":"243822","full_name":"Sangel, Marius","last_name":"Sangel"},{"full_name":"Bensch, Emilia","last_name":"Bensch","first_name":"Emilia"},{"orcid":"0009-0002-6668-2684","full_name":"Brandt-Pook, Hans","last_name":"Brandt-Pook","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-6668-2684/work/194297832","first_name":"Hans","id":"206531"},{"first_name":"Timo","last_name":"Röllke","full_name":"Röllke, Timo"},{"full_name":"Markworth, Cedric","last_name":"Markworth","first_name":"Cedric"}],"quality_controlled":"1","department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"date_created":"2025-10-15T07:05:27Z","publication":"INFORMATIK 2025","file_date_updated":"2025-10-15T07:02:12Z","language":[{"iso":"ger"}],"file":[{"success":1,"date_updated":"2025-10-15T07:02:12Z","date_created":"2025-10-15T07:02:12Z","content_type":"application/pdf","file_size":14374281,"file_name":"Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen Ansätze und Ergebnisse aus dem Projekt TRACES.pdf","relation":"main_file","access_level":"open_access","file_id":"6236","creator":"msangel1"}],"status":"public","year":"2025","corporate_editor":["Gesellschaft für Informatik e.V."],"doi":"10.18420/INF2025_121","citation":{"apa":"Sangel, M., Bensch, E., Brandt-Pook, H., Röllke, T., &#38; Markworth, C. (2025). Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In Gesellschaft für Informatik e.V. (Ed.), <i>INFORMATIK 2025</i> (pp. 1363–1371). Bonn. <a href=\"https://doi.org/10.18420/INF2025_121\">https://doi.org/10.18420/INF2025_121</a>","ieee":"M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, and C. Markworth, “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES,” in <i>INFORMATIK 2025</i>, Potsdam, 2025, no. 366, pp. 1363–1371.","ama":"Sangel M, Bensch E, Brandt-Pook H, Röllke T, Markworth C. Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In: Gesellschaft für Informatik e.V., ed. <i>INFORMATIK 2025</i>. 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Bonn, 2025. <a href=\"https://doi.org/10.18420/INF2025_121\">https://doi.org/10.18420/INF2025_121</a>.","bibtex":"@inproceedings{Sangel_Bensch_Brandt-Pook_Röllke_Markworth_2025, place={Bonn}, title={Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES}, DOI={<a href=\"https://doi.org/10.18420/INF2025_121\">10.18420/INF2025_121</a>}, number={366}, booktitle={INFORMATIK 2025}, author={Sangel, Marius and Bensch, Emilia and Brandt-Pook, Hans and Röllke, Timo and Markworth, Cedric}, editor={Gesellschaft für Informatik e.V.Editor}, year={2025}, pages={1363–1371} }","mla":"Sangel, Marius, et al. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” <i>INFORMATIK 2025</i>, edited by Gesellschaft für Informatik e.V., no. 366, 2025, pp. 1363–71, doi:<a href=\"https://doi.org/10.18420/INF2025_121\">10.18420/INF2025_121</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Sangel, Marius</span> ; <span style=\"font-variant:small-caps;\">Bensch, Emilia</span> ; <span style=\"font-variant:small-caps;\">Brandt-Pook, Hans</span> ; <span style=\"font-variant:small-caps;\">Röllke, Timo</span> ; <span style=\"font-variant:small-caps;\">Markworth, Cedric</span>: Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. 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