{"id":"https://openalex.org/W4403278704","doi":"https://doi.org/10.1109/is61756.2024.10705201","title":"Unraveling the Impact of Density and Noise on Symbol Recognition in Engineering Drawings","display_name":"Unraveling the Impact of Density and Noise on Symbol Recognition in Engineering Drawings","publication_year":2024,"publication_date":"2024-08-29","ids":{"openalex":"https://openalex.org/W4403278704","doi":"https://doi.org/10.1109/is61756.2024.10705201"},"language":"en","primary_location":{"id":"doi:10.1109/is61756.2024.10705201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077592011","display_name":"Vasil Shteriyanov","orcid":"https://orcid.org/0009-0006-2515-6951"},"institutions":[{"id":"https://openalex.org/I4210132692","display_name":"McDermott International (United States)","ror":"https://ror.org/039w3f025","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132692"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vasil Shteriyanov","raw_affiliation_strings":["Engineering, McDermott,The Hague,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Engineering, McDermott,The Hague,The Netherlands","institution_ids":["https://openalex.org/I4210132692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081486976","display_name":"\u0420\u0438\u043c\u043c\u0430 \u0414\u0436\u0443\u0441\u0443\u043f\u043e\u0432\u0430","orcid":"https://orcid.org/0000-0003-3411-4084"},"institutions":[{"id":"https://openalex.org/I4210132692","display_name":"McDermott International (United States)","ror":"https://ror.org/039w3f025","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132692"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rimma Dzhusupova","raw_affiliation_strings":["Engineering, McDermott,The Hague,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Engineering, McDermott,The Hague,The Netherlands","institution_ids":["https://openalex.org/I4210132692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010170972","display_name":"Jan Bosch","orcid":"https://orcid.org/0000-0003-2854-722X"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jan Bosch","raw_affiliation_strings":["Chalmers University of Technology,Computer Science and Engineering,Gothenburg,Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Computer Science and Engineering,Gothenburg,Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049811300","display_name":"Helena Holmstr\u00f6m Olsson","orcid":"https://orcid.org/0000-0002-7700-1816"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Helena Holmstr\u00f6m Olsson","raw_affiliation_strings":["Malmö University,Computer Science and Media Technology,Malmö,Sweden"],"affiliations":[{"raw_affiliation_string":"Malmö University,Computer Science and Media Technology,Malmö,Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077592011"],"corresponding_institution_ids":["https://openalex.org/I4210132692"],"apc_list":null,"apc_paid":null,"fwci":0.2734,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56019258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.7416999936103821,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.7416999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.631349503993988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301956176757812},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6077654361724854},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36578935384750366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2842278480529785},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09554475545883179},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06304952502250671}],"concepts":[{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.631349503993988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301956176757812},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6077654361724854},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36578935384750366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2842278480529785},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09554475545883179},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06304952502250671}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/is61756.2024.10705201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:543739","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/543739","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W397180395","https://openalex.org/W639708223","https://openalex.org/W1991041233","https://openalex.org/W2050401924","https://openalex.org/W2112796928","https://openalex.org/W2144506857","https://openalex.org/W2888790082","https://openalex.org/W2958435308","https://openalex.org/W2963037989","https://openalex.org/W2991439194","https://openalex.org/W2997569720","https://openalex.org/W3029673460","https://openalex.org/W3036037642","https://openalex.org/W3043941844","https://openalex.org/W3124432240","https://openalex.org/W3172087149","https://openalex.org/W3183926781","https://openalex.org/W3184486150","https://openalex.org/W3188110374","https://openalex.org/W4224037372","https://openalex.org/W4243728592","https://openalex.org/W4310905425","https://openalex.org/W4316660139","https://openalex.org/W4385420473","https://openalex.org/W4385577342","https://openalex.org/W4391664301","https://openalex.org/W4400681686","https://openalex.org/W6779873642"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2389793738","https://openalex.org/W2376208682","https://openalex.org/W2924107927","https://openalex.org/W2368886944","https://openalex.org/W4390358280","https://openalex.org/W2611966483","https://openalex.org/W4240806619","https://openalex.org/W4254609622"],"abstract_inverted_index":{"Applied":[0],"Artificial":[1],"Intelligence":[2],"(AI)":[3],"in":[4,17,37,63,126,172,232],"engineering":[5,19,25,39,45,96,127,156,173,221],"is":[6,40,145],"gaining":[7],"significant":[8,136],"traction.":[9],"AI":[10,36],"object":[11],"detection":[12],"methods":[13],"can":[14,214],"be":[15,215],"applied":[16,43,216],"the":[18,64,88,115,167,187,199,205,226],"industry":[20],"to":[21,30,44,181,204,217],"extract":[22],"information":[23],"from":[24],"drawings,":[26,128],"offering":[27],"immense":[28],"benefits":[29],"engineers.":[31],"A":[32],"promising":[33],"application":[34],"of":[35,57,66,90,108,169,186,207,220],"industrial":[38,235],"symbol":[41,74,83,92,124,170,208,230],"recognition":[42,93,125,139,160,171,209,231],"drawings.":[46,222],"However,":[47],"these":[48],"drawings":[49,97,157],"often":[50],"exhibit":[51],"areas":[52],"with":[53],"a":[54,91,120,142],"high":[55],"density":[56,109,118,133],"symbols,":[58],"as":[59,61,190],"well":[60],"noise":[62,154],"form":[65],"markups,":[67],"indicating":[68],"revisions.":[69],"These":[70],"factors":[71],"could":[72],"cause":[73],"misclassification":[75],"or":[76],"omission,":[77],"impacting":[78],"applications":[79,236],"reliant":[80],"on":[81,95,138,155,194,210],"accurate":[82,123],"recognition.":[84],"This":[85],"study":[86,130],"evaluates":[87],"accuracy":[89],"model":[94],"called":[98],"Piping":[99],"and":[100,110,178,237],"Instrumen-tation":[101],"Diagrams":[102],"(P":[103],"&IDs)":[104],"exhibiting":[105],"varying":[106],"levels":[107],"markups":[111],"causing":[112],"noise.":[113],"Despite":[114],"assumption":[116],"that":[117,132,152],"poses":[119],"challenge":[121],"for":[122,228],"our":[129],"reveals":[131],"has":[134],"no":[135],"impact":[137],"performance":[140],"when":[141],"dense":[143],"detector":[144],"employed.":[146],"In":[147],"addition,":[148],"we":[149,163],"quantitatively":[150],"show":[151],"markup-induced":[153],"negatively":[158],"influences":[159],"accuracy.":[161],"Finally,":[162],"provide":[164],"recommendations":[165,179],"regarding":[166],"applicability":[168],"applications.":[174],"The":[175],"study's":[176],"findings":[177],"apply":[180],"any":[182],"P":[183],"&IDs,":[184],"regardless":[185],"standard":[188],"used,":[189],"they":[191],"were":[192],"evaluated":[193],"various":[195,233],"worldwide":[196],"projects.":[197],"Moreover,":[198],"research":[200],"not":[201],"only":[202],"contributes":[203],"advancement":[206],"P&IDs,":[211],"but":[212],"also":[213],"other":[218],"types":[219],"Thus,":[223],"it":[224],"holds":[225],"potential":[227],"enhancing":[229],"real-world":[234],"research.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}