{"id":{"repo_id":"ulm-diss","oai_identifier":"oai:oparu.uni-ulm.de:123456789/56664"},"canonical_url":"https://search.dev.ndltd.org/etd/ulm-diss/oai:oparu.uni-ulm.de:123456789/56664","repository":{"repo_id":"ulm-diss","name":"Universität Ulm","base_url":"http://oparu.uni-ulm.de/server/oai/request"},"display":{"title":"Advancing machine learning methods for multivariate and multiphase time series to automate test cycle optimization","abstract":"","abstract_html":null,"abstract_has_math":false,"creators":["Gaugel, Stefan"],"institution":"Universität Ulm","degree_name":null,"degree_level":"thesis.doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-03-13","date_published":"2025-03-13","updated_at":"2026-07-24T05:13:50Z","subjects":["Machine Learning","Deep Learning","Time Series","End-of-Line Testing","Transfer Learning"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-56664-0","outbound_label":"Repository record","outbound_source":"source_url"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Gaugel, Stefan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:publisher","label":"Institution","values":["Universität Ulm"]},{"key":"dc:type","label":"Dc Type","values":["doctoralThesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["thesis.doctoral"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Universität Ulm"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Machine Learning","Deep Learning","Time Series","End-of-Line Testing","Transfer Learning"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:format.medium","label":"Dc Format Medium","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Advancing machine learning methods for multivariate and multiphase time series to automate test cycle optimization"]}]}],"canonical_facts":{"dc:creator":["Gaugel, Stefan"],"dc:format.medium":["application/pdf"],"dc:publisher":["Universität Ulm"],"dc:subject":["Machine Learning","Deep Learning","Time Series","End-of-Line Testing","Transfer Learning"],"dc:title":["Advancing machine learning methods for multivariate and multiphase time series to automate test cycle optimization"],"dc:type":["doctoralThesis"],"thesis:degree_level":["thesis.doctoral"],"thesis:institution_name":["Universität Ulm"]},"updated_at":"2026-07-24T05:13:50Z"}