{"id":"https://openalex.org/W4308118131","doi":"https://doi.org/10.3390/rs14215482","title":"Enhancing Railway Detection by Priming Neural Networks with Project Exaptations","display_name":"Enhancing Railway Detection by Priming Neural Networks with Project Exaptations","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4308118131","doi":"https://doi.org/10.3390/rs14215482"},"language":"en","primary_location":{"id":"doi:10.3390/rs14215482","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215482","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs14215482","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057541705","display_name":"Felix Eickeler","orcid":"https://orcid.org/0000-0002-9640-8005"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Eickeler","raw_affiliation_strings":["Chair of Computational Modeling and Simulation, Technische Universit\u00e4t M\u00fcnchen, 80333 Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9640-8005","affiliations":[{"raw_affiliation_string":"Chair of Computational Modeling and Simulation, Technische Universit\u00e4t M\u00fcnchen, 80333 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079755356","display_name":"Andr\u00e9 Borrmann","orcid":"https://orcid.org/0000-0003-2088-7254"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Borrmann","raw_affiliation_strings":["Chair of Computational Modeling and Simulation, Technische Universit\u00e4t M\u00fcnchen, 80333 Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2088-7254","affiliations":[{"raw_affiliation_string":"Chair of Computational Modeling and Simulation, Technische Universit\u00e4t M\u00fcnchen, 80333 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057541705"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.448,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58850285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"21","first_page":"5482","last_page":"5482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7633672952651978},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5178954601287842},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4964063763618469},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.4300241470336914},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4285362958908081},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4235530197620392},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09032794833183289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633672952651978},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5178954601287842},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4964063763618469},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.4300241470336914},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4285362958908081},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4235530197620392},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09032794833183289},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs14215482","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215482","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cb9f4e70d59c455ba738e0500ac307cb","is_oa":true,"landing_page_url":"https://doaj.org/article/cb9f4e70d59c455ba738e0500ac307cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 21, p 5482 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/21/5482/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14215482","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 21; Pages: 5482","raw_type":"Text"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1700831","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1700831","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1735414","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1735414","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs14215482","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215482","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1587751276","https://openalex.org/W2117330144","https://openalex.org/W2145395493","https://openalex.org/W2194775991","https://openalex.org/W2295612077","https://openalex.org/W2395579298","https://openalex.org/W2802830211","https://openalex.org/W2904418225","https://openalex.org/W2927746189","https://openalex.org/W2966198222","https://openalex.org/W2989086476","https://openalex.org/W2990613095","https://openalex.org/W3003762208","https://openalex.org/W3014501446","https://openalex.org/W3037650515","https://openalex.org/W3047478335","https://openalex.org/W3048252990","https://openalex.org/W3082130911","https://openalex.org/W3104839060","https://openalex.org/W3118184152","https://openalex.org/W3154718610","https://openalex.org/W3174645103","https://openalex.org/W3185177793","https://openalex.org/W3201535715","https://openalex.org/W3212207495","https://openalex.org/W4280522858","https://openalex.org/W4283073947"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W188202134","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2010229520"],"abstract_inverted_index":{"When":[0,156],"integrating":[1],"railway":[2],"constructions":[3,29,65],"and":[4,21,30,42,66,73,83,95,150,172],"refurbishments":[5,67],"into":[6,45,145],"an":[7],"existing":[8,34,39,48,131,142],"infrastructure,":[9],"it":[10],"is":[11,93],"beneficial":[12],"to":[13,68,97,100,123,158,201],"have":[14],"knowledge":[15],"of":[16,23,33,63,79,89,116],"the":[17,24,31,60,86,101,114,120,141,166,189],"exact":[18],"state,":[19],"geometry,":[20],"placement":[22],"connected":[25],"assets.":[26],"While":[27],"new":[28,64],"maintenance":[32],"lines":[35],"can":[36,187],"directly":[37],"use":[38],"digital":[40,52,57],"models":[41,58,92,144],"incorporate":[43],"them":[44],"their":[46],"processes,":[47],"railways":[49],"often":[50],"predate":[51],"technologies.":[53],"This":[54],"gap":[55],"in":[56],"leaves":[59],"planning":[61],"processes":[62],"primarily":[69],"rely":[70],"on":[71],"non-automated":[72],"analogue":[74],"workflows.":[75],"With":[76],"a":[77,136,151,159],"multitude":[78],"asset":[80],"types,":[81],"layouts":[82],"country-specific":[84],"standards,":[85],"automatic":[87],"generation":[88],"adequate":[90],"detection":[91],"complicated":[94],"needs":[96],"be":[98],"tailored":[99],"current":[102],"project":[103],"environment,":[104],"generating":[105],"considerable":[106],"overhead.":[107],"Addressing":[108],"this":[109,111],"issue,":[110],"paper":[112],"presents":[113],"concept":[115],"priming.":[117],"Priming":[118],"increases":[119],"adaptation":[121,193],"performance":[122],"highly":[124],"volatile,":[125],"low-data":[126],"environments":[127],"by":[128,194],"leveraging":[129],"previous,":[130],"CAD":[132],"projects.":[133],"We":[134],"introduce":[135],"translation":[137],"scheme":[138],"that":[139,165,185],"converts":[140],"3D":[143],"realistic,":[146],"project-specific,":[147],"synthetic":[148],"surveys":[149],"complemental":[152],"dialled-in":[153],"training":[154,168,180],"routine.":[155],"applied":[157],"convolutional":[160],"neural":[161],"network,":[162],"we":[163],"show":[164,184],"primed":[167],"will":[169],"converge":[170],"faster":[171],"with":[173],"greater":[174],"stability,":[175],"especially":[176],"when":[177],"using":[178],"sparse":[179],"data.":[181],"Our":[182],"experiments":[183],"priming":[186],"reduce":[188],"time":[190],"for":[191],"network":[192],"over":[195],"50%,":[196],"while":[197],"also":[198],"improving":[199],"resilience":[200],"underrepresented":[202],"object":[203],"types.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-11-08T00:00:00"}
