[{"data":1,"prerenderedAt":89},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-fd832a11374eb3093c878cc3-fb69cdbe":3},{"edges":4,"entity":16,"fingerprint":42,"generatedAt":43,"neighbors":44,"schemaVersion":88},[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","101101966:output:fd832a11374eb3093c878cc3","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101101966","exact","cordis:101101966","edge:project-output:101101966:fd832a11374eb3093c878cc3","has_observed_output","output:fd832a11374eb3093c878cc3",{"attributes":17,"edgeCount":18,"id":15,"indexable":19,"label":27,"links":28,"slug":37,"sourceRefs":38,"type":41},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":26},1,true,"doi_dedup___::d45319f385038d917795c8cebcc6a0f6","publication",[23],{"scheme":24,"value":25},"doi","10.1016\u002Fj.asoc.2025.113689","2025-12-01","Spiking neural network with time-varying weights for rail squat detection",[29,33],{"kind":30,"label":31,"url":32},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3Ad45319f385038d917795c8cebcc6a0f6",{"kind":34,"label":35,"url":36},"persistent_identifier","DOI 10.1016\u002Fj.asoc.2025.113689","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.asoc.2025.113689","output-fd832a11374eb3093c878cc3-fb69cdbe",[39],{"dataset":7,"field":40,"sourceId":20,"url":32},"openaire_research_product_id","output","sha256:3cd618df4bd6cfee9c866c3146a42c58216bf5617b2dd7fe1f0d4a5b5085c827","2026-07-21T08:59:15.288Z",[45],{"attributes":46,"description":72,"edgeCount":73,"id":12,"indexable":19,"label":74,"links":75,"slug":82,"sourceRefs":83,"type":87},{"acronym":47,"code":48,"endDate":49,"frameworkProgramme":50,"funding":51,"knowledgeFlow":56,"research":63,"startDate":71},"FP3 - IAM4RAIL","101101966","2026-11-30","HORIZON",{"currency":52,"germanNetEuContributionCents":53,"participantEdgeCount":54,"status":55},"EUR","808669792",18,"linked",{"citingCountryCount":57,"citingInstitutionCount":58,"distinctCitingWorkCount":59,"firstObservedCitationDate":60,"lastObservedCitationDate":61,"observedCitationEdgeCount":59,"status":62},3,4,2,"2025-01-01","2026-05-25","bounded_observation",{"citationDataOutputCount":64,"citedOutputCount":54,"firstPublicationDate":65,"lastPublicationDate":66,"openAccessOutputCount":64,"outputCount":64,"status":55,"totalCitations":67,"typeCounts":68},52,"2023-07-01","2026-05-01",111,{"dataset":59,"other":69,"publication":70,"software":69},0,50,"2022-12-01","Europe’s Rail Flagship Project 3 - Holistic and Integrated Asset Management for Europe’s RAIL System",20,"FP3 - IAM4RAIL · Europe’s Rail Flagship Project 3 - Holistic and Integrated Asset Management for Europe’s RAIL System",[76,78],{"kind":30,"label":77,"url":10},"CORDIS",{"kind":79,"label":80,"url":81},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101101966","project-cordis-101101966-f0bf7f59",[84],{"dataset":85,"field":86,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1784624713060]