[{"data":1,"prerenderedAt":95},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-a9120734de1035681d26a0ab-b87d37e8":3},{"edges":4,"entity":16,"fingerprint":48,"generatedAt":49,"neighbors":50,"schemaVersion":94},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101138678:output:a9120734de1035681d26a0ab","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101138678","exact","cordis:101138678","edge:project-output:101138678:a9120734de1035681d26a0ab","has_observed_output","output:a9120734de1035681d26a0ab",{"attributes":17,"edgeCount":18,"id":15,"indexable":19,"label":33,"links":34,"slug":43,"sourceRefs":44,"type":47},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":32},1,true,"doi_dedup___::5f9c0a70db439c49ade053d51a451690","publication",[23,26,29],{"scheme":24,"value":25},"doi","10.1038\u002Fs41598-025-26685-8",{"scheme":27,"value":28},"pmc","PMC12594758",{"scheme":30,"value":31},"pmid","41203775","2025-11-07","Multi-family wavelet-based feature engineering method for short-term time series forecasting",[35,39],{"kind":36,"label":37,"url":38},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A5f9c0a70db439c49ade053d51a451690",{"kind":40,"label":41,"url":42},"persistent_identifier","DOI 10.1038\u002Fs41598-025-26685-8","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-025-26685-8","output-a9120734de1035681d26a0ab-b87d37e8",[45],{"dataset":7,"field":46,"sourceId":20,"url":38},"openaire_research_product_id","output","sha256:9cf74d7824a5b22a581340724486ec8d6a60790d2601b9c884e270ec32f035a7","2026-08-01T09:21:19.131Z",[51],{"attributes":52,"description":78,"edgeCount":79,"id":12,"indexable":19,"label":80,"links":81,"slug":88,"sourceRefs":89,"type":93},{"acronym":53,"code":54,"endDate":55,"frameworkProgramme":56,"funding":57,"knowledgeFlow":61,"research":69,"startDate":72},"ZEBAI","101138678","2028-12-31","HORIZON",{"currency":58,"germanNetEuContributionCents":59,"participantEdgeCount":18,"status":60},"EUR","22612500","linked",{"citingCountryCount":62,"citingInstitutionCount":63,"distinctCitingWorkCount":64,"firstObservedCitationDate":65,"lastObservedCitationDate":66,"observedCitationEdgeCount":67,"status":68},44,209,121,"1952-04-28","2026-07-21",128,"full_input_observation",{"citationDataOutputCount":70,"citedOutputCount":71,"firstPublicationDate":72,"lastPublicationDate":73,"openAccessOutputCount":74,"outputCount":70,"status":60,"totalCitations":75,"typeCounts":76},35,19,"2024-01-01","2026-03-09",34,98,{"dataset":77,"other":18,"publication":74,"software":77},0,"Innovative methodologies for the design of Zero-Emission and cost-effective Buildings enhanced by Artificial Intelligence",11,"ZEBAI · Innovative methodologies for the design of Zero-Emission and cost-effective Buildings enhanced by Artificial Intelligence",[82,84],{"kind":36,"label":83,"url":10},"CORDIS",{"kind":85,"label":86,"url":87},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101138678","project-cordis-101138678-07de14cd",[90],{"dataset":91,"field":92,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1785576533826]