{"title":"PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods","language":[{"iso":"eng"}],"status":"public","author":[{"orcid":"0000-0001-6628-3929 ","last_name":"Katsch","full_name":"Katsch, Linda","first_name":"Linda","id":"71614"},{"id":"81622","first_name":"Marc","full_name":"Trilling-Haasler, Marc","last_name":"Trilling-Haasler","orcid":"0000-0002-3685-6383"},{"first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","id":"64952","orcid":"0000-0002-7920-0595","last_name":"Pein-Hackelbusch"},{"last_name":"Schneider","orcid":"0000-0001-6401-8873","id":"13209","first_name":"Jan","full_name":"Schneider, Jan"}],"_id":"11996","type":"conference_poster","department":[{"_id":"DEP4018"},{"_id":"DEP4028"},{"_id":"DEP1308"}],"date_updated":"2025-10-17T18:29:19Z","citation":{"havard":"L. Katsch, M. Trilling-Haasler, M. Pein-Hackelbusch, J. Schneider, PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods, 2024.","chicago":"Katsch, Linda, Marc Trilling-Haasler, Miriam Pein-Hackelbusch, and Jan Schneider. <i>PETauthent – Authentication of PET Recyclate for Food Packaging Using Data-Intensive Sensors and Machine Learning Methods</i>, 2024.","van":"Katsch L, Trilling-Haasler M, Pein-Hackelbusch M, Schneider J. PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods. 2024.","ufg":"<b>Katsch, Linda u. a.</b>: PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods, o. O. 2024.","bjps":"<b>Katsch L <i>et al.</i></b> (2024) <i>PETauthent – Authentication of PET Recyclate for Food Packaging Using Data-Intensive Sensors and Machine Learning Methods</i>. .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Katsch, Linda</span> ; <span style=\"font-variant:small-caps;\">Trilling-Haasler, Marc</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span> ; <span style=\"font-variant:small-caps;\">Schneider, Jan</span>: <i>PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods</i>, 2024","mla":"Katsch, Linda, et al. <i>PETauthent – Authentication of PET Recyclate for Food Packaging Using Data-Intensive Sensors and Machine Learning Methods</i>. 2024.","chicago-de":"Katsch, Linda, Marc Trilling-Haasler, Miriam Pein-Hackelbusch und Jan Schneider. 2024. <i>PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods</i>.","ama":"Katsch L, Trilling-Haasler M, Pein-Hackelbusch M, Schneider J. <i>PETauthent – Authentication of PET Recyclate for Food Packaging Using Data-Intensive Sensors and Machine Learning Methods</i>.; 2024.","short":"L. Katsch, M. Trilling-Haasler, M. Pein-Hackelbusch, J. Schneider, PETauthent – Authentication of PET Recyclate for Food Packaging Using Data-Intensive Sensors and Machine Learning Methods, 2024.","ieee":"L. Katsch, M. Trilling-Haasler, M. Pein-Hackelbusch, and J. Schneider, <i>PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods</i>. 2024.","apa":"Katsch, L., Trilling-Haasler, M., Pein-Hackelbusch, M., &#38; Schneider, J. (2024). <i>PETauthent – Authentication of PET recyclate for food packaging using data-intensive sensors and machine learning methods</i>. Anuga FoodTec , Köln."},"conference":{"end_date":"2024-03-22","name":"Anuga FoodTec ","location":"Köln","start_date":"2024-03-19"},"year":"2024","user_id":"81304","date_created":"2024-10-15T16:50:51Z","publication_status":"published"}